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ChanceFocus Asset Management (Shanghai) Company 15

multifineng400

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Deal summary Turun Kauppaopetussäätiö / Auratum Real Estate Ltd Answer:

Finance

Deal summary Turun Kauppaopetussäätiö / Auratum Real Estate Ltd

multifineng401

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: System Process Assurance Answer:

Tax & Accounting

System Process Assurance

multifineng402

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Better by design: Innovation and new product development in Denmark: Global Family Business Survey 2016: PwC Answer:

Business & Management

Better by design: Innovation and new product development in Denmark: Global Family Business Survey 2016: PwC

multifineng403

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: The finance function of the future: IFRS 17 Answer:

Tax & Accounting

The finance function of the future: IFRS 17

multifineng404

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Successfully Developing Innovative Drugs and Enhancing R&D Productivity Answer:

Industry

Successfully Developing Innovative Drugs and Enhancing R&D Productivity

multifineng405

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Insurance’s new normal Driving innovation with InsurTech Answer:

Finance

Insurance’s new normal Driving innovation with InsurTech

multifineng406

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Proposed Amendments for Regulations Regarding Financial Restructuring Have Been Introduced Answer:

Finance

Proposed Amendments for Regulations Regarding Financial Restructuring Have Been Introduced

multifineng407

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Individual Taxation Answer:

Tax & Accounting

Individual Taxation

multifineng408

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Global tech IPOs in 2016 fell to their lowest level this decade Answer:

Finance

Global tech IPOs in 2016 fell to their lowest level this decade

multifineng409

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: 19th Annual Global CEO Survey: Private Company View Answer:

Business & Management

19th Annual Global CEO Survey: Private Company View

multifineng410

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: European IPO market looks set to shrug off uncertainty to reach €25bn in 2016 Answer:

Finance

European IPO market looks set to shrug off uncertainty to reach €25bn in 2016

multifineng411

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Industry 4.0: Building the Digital Enterprise Answer:

Technology

Industry 4.0: Building the Digital Enterprise

multifineng412

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Private Equity Answer:

Finance

Private Equity

multifineng413

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Tax and legal news 25 February 2016 Answer:

Tax & Accounting

Tax and legal news 25 February 2016

multifineng414

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Brand communication during a pandemic. Time for storydoing Answer:

Business & Management

Brand communication during a pandemic. Time for storydoing

multifineng415

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Transform Your Organization to Adapt Post COVID-19 Answer:

Business & Management

Transform Your Organization to Adapt Post COVID-19

multifineng416

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Workforce Strategy Answer:

Business & Management

Workforce Strategy

multifineng417

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Global employee mobility: Technology and efficiency Answer:

Business & Management

Global employee mobility: Technology and efficiency

multifineng418

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Tax strategy & operations Answer:

Tax & Accounting

Tax strategy & operations

multifineng419

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Get more than an accountant Answer:

Tax & Accounting

Get more than an accountant

multifineng420

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Financial services organisations need to 'walk the diversity talk' to tap into the whole talent market Answer:

Business & Management

Financial services organisations need to 'walk the diversity talk' to tap into the whole talent market

multifineng421

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: New solidarity tax for the richest taxpayers and new social security contribution – practical impact overview Answer:

Finance

New solidarity tax for the richest taxpayers and new social security contribution – practical impact overview

multifineng422

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: PwC’s COVID-19 CFO Pulse Answer:

Business & Management

PwC’s COVID-19 CFO Pulse

multifineng423

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Strategy Answer:

Business & Management

Strategy

multifineng424

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Work in Assurance Answer:

Tax & Accounting

Work in Assurance

multifineng425

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Annual report 2016: Climate Week Answer:

Business & Management

Annual report 2016: Climate Week

multifineng426

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: World CEOs turning to Germany for growth Answer:

Business & Management

World CEOs turning to Germany for growth

multifineng427

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: 21st CEO Survey: The Anxious Optimist in the Corner Office Answer:

Business & Management

21st CEO Survey: The Anxious Optimist in the Corner Office

multifineng428

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: NVIDIA Deep Learning Answer:

Technology

NVIDIA Deep Learning

multifineng429

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Blockchain: PwC Answer:

Technology

Blockchain: PwC

multifineng430

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: #amnc18: How will AI impact the job market in China? Answer:

Technology

#amnc18: How will AI impact the job market in China?

multifineng431

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Payroll Outsourcing: Discipline leading to Innovation Answer:

Business & Management

Payroll Outsourcing: Discipline leading to Innovation

multifineng432

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Digital Revolution and Open Banking Answer:

Finance

Digital Revolution and Open Banking

multifineng433

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Deal summary Veho Oy Ab Answer:

Finance

Deal summary Veho Oy Ab

multifineng434

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Deal summary Vapo Oy Answer:

Finance

Deal summary Vapo Oy

multifineng435

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Social security services Answer:

Finance

Social security services

multifineng436

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: ALM Intelligence rates PwC a global leader in retirement benefits consulting Answer:

Business & Management

ALM Intelligence rates PwC a global leader in retirement benefits consulting

multifineng437

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: CEO confidence rises despite new risks and uncertainty Answer:

Business & Management

CEO confidence rises despite new risks and uncertainty

multifineng438

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Global CEO Pulse Survey on Innovation Answer:

Business & Management

Global CEO Pulse Survey on Innovation

multifineng439

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Tax and legal news 16 June 2017 Answer:

Tax & Accounting

Tax and legal news 16 June 2017

multifineng440

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Transaction services Answer:

Finance

Transaction services

multifineng441

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Assurance and financial reporting Answer:

Tax & Accounting

Assurance and financial reporting

multifineng442

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Energy, utilities and resources Answer:

Industry

Energy, utilities and resources

multifineng443

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Databrain: Data Governance for Analytics Answer:

Technology

Databrain: Data Governance for Analytics

multifineng444

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Assurance Answer:

Tax & Accounting

Assurance

multifineng445

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Tax and legal news 20 April 2017 Answer:

Tax & Accounting

Tax and legal news 20 April 2017

multifineng446

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Indirect Taxes Answer:

Tax & Accounting

Indirect Taxes

multifineng447

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Cyber threats topple over-regulation as top risk for Banking and Capital Markets CEOs Answer:

Technology

Cyber threats topple over-regulation as top risk for Banking and Capital Markets CEOs

multifineng448

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Deal summary Folmer Management Oy / Cockerill Maintenance & Ingénierie (CMI) Answer:

Finance

Deal summary Folmer Management Oy / Cockerill Maintenance & Ingénierie (CMI)

multifineng449

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Presenting a United Front on Financial Crimes Answer:

Government & Controls

Presenting a United Front on Financial Crimes

multifineng450

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: How PwC’s Food Trust Platform protects Australian brands from food fraud Answer:

Government & Controls

How PwC’s Food Trust Platform protects Australian brands from food fraud

multifineng451

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Tax Flash February 2015 Answer:

Tax & Accounting

Tax Flash February 2015

multifineng452

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Digital transformation in customer and operations Answer:

Technology

Digital transformation in customer and operations

multifineng453

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: IFRS 17/TFRS 17 Insurance Contracts Answer:

Finance

IFRS 17/TFRS 17 Insurance Contracts

multifineng454

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Global employee mobility Answer:

Business & Management

Global employee mobility

multifineng455

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Emerging Trends in Real Estate®: Europe 2018 Answer:

Industry

Emerging Trends in Real Estate®: Europe 2018

multifineng456

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Tax and legal news, January 2020 Answer:

Tax & Accounting

Tax and legal news, January 2020

multifineng457

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: PwC's Insights: Greek entrepreneurship at the crossroads Answer:

Business & Management

PwC's Insights: Greek entrepreneurship at the crossroads

multifineng458

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Robo Advisory moves forward in Italy Answer:

Technology

Robo Advisory moves forward in Italy

multifineng459

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Fit for Growth Answer:

Business & Management

Fit for Growth

multifineng460

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Insurance Answer:

Finance

Insurance

multifineng461

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: US tax reform Answer:

Tax & Accounting

US tax reform

multifineng462

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: PwC Women in Work Index: Closing the gender pay gap Answer:

Business & Management

PwC Women in Work Index: Closing the gender pay gap

multifineng463

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Project Management Services Answer:

Business & Management

Project Management Services

multifineng464

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Digital Fitness Assessment Answer:

Technology

Digital Fitness Assessment

multifineng465

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: PwC rated as a leader in robotic process automation (RPA) service providers in health industries report by independent research firm Answer:

Technology

PwC rated as a leader in robotic process automation (RPA) service providers in health industries report by independent research firm

multifineng466

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: The impact of Brexit on the free flow of data Answer:

Government & Controls

The impact of Brexit on the free flow of data

multifineng467

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Statistical Analysis with MS Excel Answer:

Technology

Statistical Analysis with MS Excel

multifineng468

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Strategy & Operations Answer:

Business & Management

Strategy & Operations

multifineng469

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Deal summary FuturSoft Oy / Vitec Software Group Answer:

Finance

Deal summary FuturSoft Oy / Vitec Software Group

multifineng470

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Tax accounting services Answer:

Tax & Accounting

Tax accounting services

multifineng471

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: PwC Global CIO recognised in Premier 100 Technology Leadership Awards. Answer:

Business & Management

PwC Global CIO recognised in Premier 100 Technology Leadership Awards.

multifineng472

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Internet access Answer:

Technology

Internet access

multifineng473

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Audit and Assurance Services Answer:

Tax & Accounting

Audit and Assurance Services

multifineng474

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Summary of planned changes in PIT from 1st January 2019 Answer:

Tax & Accounting

Summary of planned changes in PIT from 1st January 2019

multifineng475

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: SAF-T in Poland – the number of tax audits using SAF-T is increasing Answer:

Tax & Accounting

SAF-T in Poland – the number of tax audits using SAF-T is increasing

multifineng476

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Strong values drive growth for family business amid disruption fears, finds PwC global survey Answer:

Business & Management

Strong values drive growth for family business amid disruption fears, finds PwC global survey

multifineng477

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Crisis Management & Forensic Intelligence Answer:

Government & Controls

Crisis Management & Forensic Intelligence

multifineng478

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Deal execution Answer:

Finance

Deal execution

multifineng479

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Tax technology Answer:

Tax & Accounting

Tax technology

multifineng480

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Technology Answer:

Technology

Technology

multifineng481

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Tax and legal news 26 September 2016 Answer:

Tax & Accounting

Tax and legal news 26 September 2016

multifineng482

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Insights about consumers and artificial intelligence 2018 Answer:

Industry

Insights about consumers and artificial intelligence 2018

multifineng483

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: PwC: Forty percent of Russian companies have no information security strategy Answer:

Technology

PwC: Forty percent of Russian companies have no information security strategy

multifineng484

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Telecommunications Answer:

Technology

Telecommunications

multifineng485

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: 10 trends in polish healthcare 2016 Answer:

Industry

10 trends in polish healthcare 2016

multifineng486

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Emerging Trends in Real Estate® Europe 2017 Answer:

Industry

Emerging Trends in Real Estate® Europe 2017

multifineng487

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Insurance and legacy solutions Answer:

Finance

Insurance and legacy solutions

multifineng488

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Shifting patterns: the future of the logistics industry Answer:

Industry

Shifting patterns: the future of the logistics industry

multifineng489

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Hitting the sweet spot: Growth and diversification in Japan: Global Family Business Survey 2016: PwC Answer:

Business & Management

Hitting the sweet spot: Growth and diversification in Japan: Global Family Business Survey 2016: PwC

multifineng490

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: On 30 October 2018 the Constitutional Tribunal will decide if removal of the annual limit of the pension and disability contributions is consistent with the Polish Constitution Answer:

Finance

On 30 October 2018 the Constitutional Tribunal will decide if removal of the annual limit of the pension and disability contributions is consistent with the Polish Constitution

multifineng491

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: 2019 AI Predictions: Six priorities you can’t afford to ignore Answer:

Technology

2019 AI Predictions: Six priorities you can’t afford to ignore

multifineng492

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Annual report 2016: My PwC transcript Answer:

Tax & Accounting

Annual report 2016: My PwC transcript

multifineng493

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Employment Law Bulletin March 2020 Answer:

Business & Management

Employment Law Bulletin March 2020

multifineng494

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: FinTech Answer:

Finance

FinTech

multifineng495

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: The digital healthcare leap Answer:

Industry

The digital healthcare leap

multifineng496

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Assessing the global transport infrastructure market: Outlook to 2025 Answer:

Industry

Assessing the global transport infrastructure market: Outlook to 2025

multifineng497

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Actuarial services Answer:

Finance

Actuarial services

multifineng498

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Customer experience and payment behaviours in the PSD2 context Answer:

Finance

Customer experience and payment behaviours in the PSD2 context

multifineng499

In this task, you're working with English headlines from the MULTIFIN dataset. This dataset is made up of real-world article headlines from a large accounting firm's websites. Your objective is to categorize each headline according to its primary topic. The potential categories are 'Finance', 'Technology', 'Tax & Accounting', 'Business & Management', 'Government & Controls', and 'Industry'. Your response should only include the category that best fits the headline. Text: Corporate Responsibility Answer:

Business & Management

Corporate Responsibility