yusuke1997/dblp-id-title huggingface dataset:
Structure-aware Sentence Encoder in Bert-Based Siamese Network
DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging
Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification Systems
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text
Towards Harnessing Memory Networks for Coreference Resolution
Pitfalls in the Evaluation of Sentence Embeddings
Temporal Knowledge Graph Reasoning with Low-rank and Model-agnostic Representations
Compositionality and Capacity in Emergent Languages
Learning Probabilistic Sentence Representations from Paraphrases
Learning Joint Multilingual Sentence Representations with Neural Machine Translation
Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion
Grammatical information in BERT sentence embeddings as two-dimensional arrays
Improving Bilingual Lexicon Induction with Unsupervised Post-Processing of Monolingual Word Vector Spaces
Jointly Embedding Entities and Text with Distant Supervision
Comprehension Based Question Answering using Bloom's Taxonomy
Text Style Transfer: Leveraging a Style Classifier on Entangled Latent Representations
Corpus Specificity in LSA and Word2vec: The Role of Out-of-Domain Documents
On Target Representation in Continuous-output Neural Machine Translation
Revealing the Blind Spot of Sentence Encoder Evaluation by HEROS
Evaluating Compositionality of Sentence Representation Models
Auto-Encoding Variational Neural Machine Translation
Transfer Learning for Neural Semantic Parsing
PALBERT: Teaching ALBERT to Ponder
A Self-Training Approach for Short Text Clustering
An Evaluation of Language-Agnostic Inner-Attention-Based Representations in Machine Translation
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining
Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons
Box-To-Box Transformations for Modeling Joint Hierarchies
Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling
Predicting the Success of Domain Adaptation in Text Similarity
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages
On the Geometry of Concreteness
Learning to Embed Words in Context for Syntactic Tasks
One does not fit all! On the Complementarity of Vision Encoders for Vision and Language Tasks
Supertagging with CCG primitives
Learning Geometric Word Meta-Embeddings
Domain Adaptation for Neural Networks by Parameter Augmentation
Making Sense of Word Embeddings
Intrinsic and Extrinsic Evaluation of Spatiotemporal Text Representations in Twitter Streams
Modality-based Factorization for Multimodal Fusion
Towards Flow Graph Prediction of Open-Domain Procedural Texts
Identifying the Limits of Cross-Domain Knowledge Transfer for Pretrained Models
Knowledge Graph Embedding with Numeric Attributes of Entities
Assessing Incrementality in Sequence-to-Sequence Models
Syntagmatic Word Embeddings for Unsupervised Learning of Selectional Preferences
Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty
Towards Robust Named Entity Recognition for Historic German
Why "Blow Out"? A Structural Analysis of the Movie Dialog Dataset
Towards Abstraction from Extraction: Multiple Timescale Gated Recurrent Unit for Summarization
Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations
Proceedings of the 8th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2023, Toronto, Canada, July 13, 2023
Effective Dimensionality Reduction for Word Embeddings
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks
NewsQA: A Machine Comprehension Dataset
Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model
A Sequence-to-Sequence Model for Semantic Role Labeling
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations
Staying True to Your Word: (How) Can Attention Become Explanation?
Mixed Orthographic/Phonemic Language Modeling: Beyond Orthographically Restricted Transformers (BORT)
TRAttack": " Text Rewriting Attack Against Text Retrieval
A Joint Model for Word Embedding and Word Morphology
Learning Bilingual Projections of Embeddings for Vocabulary Expansion in Machine Translation
Towards Generalizable Sentence Embeddings
Retrieval-Augmented Domain Adaptation of Language Models
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT
Meta-Learning Improves Lifelong Relation Extraction
A Frame Tracking Model for Memory-Enhanced Dialogue Systems
Are All Languages Created Equal in Multilingual BERT?
Improving Word Embeddings Using Kernel PCA
MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding
Knodle: Modular Weakly Supervised Learning with PyTorch
Characters or Morphemes: How to Represent Words?
ANNA": " Enhanced Language Representation for Question Answering
Unsupervised Geometric and Topological Approaches for Cross-Lingual Sentence Representation and Comparison
Extracting Multi-valued Relations from Language Models
Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection
Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders
Multilingual Seq2seq Training with Similarity Loss for Cross-Lingual Document Classification
Parameterized context windows in Random Indexing
Fine-Grained Entity Typing in Hyperbolic Space
Machine Comprehension by Text-to-Text Neural Question Generation
Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model
Temporal-aware Language Representation Learning From Crowdsourced Labels
Evaluating Natural Alpha Embeddings on Intrinsic and Extrinsic Tasks
A Cross-Task Analysis of Text Span Representations
A Metric Learning Approach to Misogyny Categorization
Proceedings of the 5th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2020, Online, July 9, 2020
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition
Proceedings of the 1st Workshop on Representation Learning for NLP, Rep4NLP@ACL 2016, Berlin, Germany, August 11, 2016
Specializing Distributional Vectors of All Words for Lexical Entailment
Leveraging Pre-Trained Embeddings for Welsh Taggers
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron
Zero-Resource Cross-Domain Named Entity Recognition
Proceedings of The Third Workshop on Representation Learning for NLP, Rep4NLP@ACL 2018, Melbourne, Australia, July 20, 2018
Neural Associative Memory for Dual-Sequence Modeling
Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences
Chat Discrimination for Intelligent Conversational Agents with a Hybrid CNN-LMTGRU Network
Binary Paragraph Vectors
Composing Noun Phrase Vector Representations
Learning Word Importance with the Neural Bag-of-Words Model
Learning Multilingual Meta-Embeddings for Code-Switching Named Entity Recognition
Binary Encoded Word Mover's Distance
Semantic Vector Encoding and Similarity Search Using Fulltext Search Engines
Learning when to skim and when to read
WeaNF: Weak Supervision with Normalizing Flows
Larger-Scale Transformers for Multilingual Masked Language Modeling
Functional Distributional Semantics
In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval
Proceedings of the 4th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2019, Florence, Italy, August 2, 2019
Fine-grained Text Style Transfer with Diffusion-Based Language Models
Assisting Discussion Forum Users using Deep Recurrent Neural Networks
Multi-task Domain Adaptation for Sequence Tagging
On Dimensional Linguistic Properties of the Word Embedding Space
Explaining Predictions of Non-Linear Classifiers in NLP
Pair Distance Distribution: A Model of Semantic Representation
SPC: Soft Prompt Construction for Cross Domain Generalization
Contextual and Non-Contextual Word Embeddings: an in-depth Linguistic Investigation
A Vocabulary-Free Multilingual Neural Tokenizer for End-to-End Task Learning
Investigating Sub-Word Embedding Strategies for the Morphologically Rich and Free Phrase-Order Hungarian
Sense Contextualization in a Dependency-Based Compositional Distributional Model
A Dense Vector Representation for Open-Domain Relation Tuples
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation
A Vector Model for Type-Theoretical Semantics
A Multilingual Evaluation of NER Robustness to Adversarial Inputs
Measuring Semantic Similarity of Words Using Concept Networks
Gradual Learning of Matrix-Space Models of Language for Sentiment Analysis
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction
Revisiting Pretraining with Adapters
Contrastive Loss is All You Need to Recover Analogies as Parallel Lines
Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting
A Two-stage Approach for Extending Event Detection to New Types via Neural Networks
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation
Multilingual Modal Sense Classification using a Convolutional Neural Network
Deep Generalized Canonical Correlation Analysis
Emergent Predication Structure in Hidden State Vectors of Neural Readers
Transfer Learning for Speech Recognition on a Budget
Enhancing Transformer with Sememe Knowledge
Limitations of Cross-Lingual Learning from Image Search
On the Choice of Auxiliary Languages for Improved Sequence Tagging
An Empirical Study on Pre-trained Embeddings and Language Models for Bot Detection
Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference
Connecting Supervised and Unsupervised Sentence Embeddings
Word Embeddings as Tuples of Feature Probabilities
A Study on Entity Linking Across Domains": " Which Data is Best for Fine-Tuning?
Multilingual NMT with a Language-Independent Attention Bridge
Adversarial Training for Commonsense Inference
Knowledge Base Completion: Baselines Strike Back
On Committee Representations of Adversarial Learning Models for Question-Answer Ranking
Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017
Isomorphic Cross-lingual Embeddings for Low-Resource Languages
Constructive Type-Logical Supertagging With Self-Attention Networks
Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data
Using Embedding Masks for Word Categorization
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context
Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional Decoding
Sparsifying Word Representations for Deep Unordered Sentence Modeling
Analyzing Gender Representation in Multilingual Models
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions
NPVec1: Word Embeddings for Nepali - Construction and Evaluation
Probing Cross-Modal Representations in Multi-Step Relational Reasoning
Quantum-Inspired Complex Word Embedding
Joint Learning of Sentence Embeddings for Relevance and Entailment
Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline
Entity and Evidence Guided Document-Level Relation Extraction
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models
Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name Typing
LSTMs Exploit Linguistic Attributes of Data
Context encoders as a simple but powerful extension of word2vec
One-Shot Exemplification Modeling via Latent Sense Representations
Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization
Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation
Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
Sequential Attention: A Context-Aware Alignment Function for Machine Reading
Plan, Attend, Generate: Character-Level Neural Machine Translation with Planning
Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation
Learning Distributional Token Representations from Visual Features
Mapping Unseen Words to Task-Trained Embedding Spaces
Token-level Fitting Issues of Seq2seq Models
Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings
Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings
Knowledge Informed Semantic Parsing for Conversational Question Answering
Learning Bilingual Word Embeddings Using Lexical Definitions
When does CLIP generalize better than unimodal models? When judging human-centric concepts
Relational Sentence Embedding for Flexible Semantic Matching
Zero-shot Cross-lingual Transfer is Under-specified Optimization
Prediction of Frame-to-Frame Relations in the FrameNet Hierarchy with Frame Embeddings
Probing Multilingual Sentence Representations With X-Probe
MUX-PLMs: Pre-training Language Models with Data Multiplexing
Deep Active Learning for Named Entity Recognition
A Hybrid Learning Scheme for Chinese Word Embedding
From Hyperbolic Geometry Back to Word Embeddings
CLIP-based image captioning via unsupervised cycle-consistency in the latent space
Comparison of Representations of Named Entities for Document Classification
Hierarchical Multi-Instance Multi-Label Learning for Detecting Propaganda Techniques
SCALASCA Parallel Performance Analyses of SPEC MPI2007 Applications
Extracting Response Times from Fluid Analysis of Performance Models
The Relationship of Performance Models to Data
Performance Characterization of Itanium® 2-Based Montecito Processor
SAP Standard Application Benchmarks - IT Benchmarks with a Business Focus
A Note on the Effects of Service Time Distribution in the M/G/1 Queue
Performance, Benchmarking and Sizing in Developing Highly Scalable Enterprise Software
A Model Transformation from the Palladio Component Model to Layered Queueing Networks
Dynamic Server Allocation for Power and Performance
Investigating Cache Parameters of x86 Family Processors
Phase-Type Approximations for Message Transmission Times in Web Services Reliable Messaging
Model-Driven Performability Analysis of Composite Web Services
SPECjvm2008 Performance Characterization
Thermal Design Space Exploration of 3D Die Stacked Multi-core Processors Using Geospatial-Based Predictive Models
Workload Characterization of the SPECpower_ssj2008 Benchmark
Speeding up STL Set/Map Usage in C++ Applications
A Framework for Simulation Models of Service-Oriented Architectures
Tuning Topology Generators Using Spectral Distributions
The Next Frontier for Power/Performance Benchmarking: Energy Efficiency of Storage Subsystems
Generating Probabilistic and Intensity-Varying Workload for Web-Based Software Systems
A Tale of Two Processors: Revisiting the RISC-CISC Debate
Generation, Validation and Analysis of SPEC CPU2006 Simulation Points Based on Branch, Memory and TLB Characteristics
Computer Performance Evaluation and Benchmarking, SPEC Benchmark Workshop 2009, Austin, TX, USA, January 25, 2009. Proceedings
Approximate Solution of a PEPA Model of a Key Distribution Centre
SPECrate2006: Alternatives Considered, Lessons Learned
Performance Evaluation: Metrics, Models and Benchmarks, SPEC International Performance Evaluation Workshop, SIPEW 2008, Darmstadt, Germany, June 27-28, 2008. Proceedings
Performance Monitoring and Analysis of a Large Online Transaction Processing System
Comparison of the SPEC CPU Benchmarks with 499 Other Workloads Using Hardware Counters
Model-Driven Generation of Performance Prototypes
Scheduling for Server Farms: Approaches and Open Problems
Trace-Context Sensitive Performance Profiling for Enterprise Software Applications
Designing a distributed access control processor for network services on the Web
Optimistic fair contract signing for Web services
Dynamically authorized role-based access control for secure distributed computation
Regulating access to SMIL formatted pay-per-view movies
An XML-based approach to combine firewalls and web services security specifications
Derived access control specification for XML
Certificate validation service using XKMS for computational grid
Validating a Web service security abstraction by typing
Proceedings of the 2002 ACM Workshop on XML Security, Fairfax, VA, USA, November 22, 2002
Concept-level access control for the Semantic Web
Grid security: requirements, plans and ongoing efforts
XrML - eXtensible rights Markup Language
A stream-based implementation of XML encryption
A bitmap-based access control for restricted views of XML documents
Authenticating distributed data using Web services and XML signatures
Access control of XML documents considering update operations
Bulletproof business process automation: securing XML forms with document subset signatures
Towards securing XML Web services
Anonymous authentication scheme for XML security standard with Refreshable Tokens
An access control framework for business processes for web services
Proceedings of the 2003 ACM Workshop on XML Security, Fairfax, VA, USA, October 31, 2003
Towards an XML format for time-stamps
UDDI and WSDL extensions for Web service: a security framework
XML pool encryption
First experiences using XACML for access control in distributed systems
RDF metadata for XML access control
Optimization of Computing Time for Sequential MapReduce Jobs
New Cryptographic Algorithm Using ASCII Values and Gray Code (AGC)
The Improvement of HDFS Authentication Model Based on Token Push Mechanism
Automatic Feature Learning for MOOC Forum Thread Classification
Scheduling Strategy of Space-based Satellite Based on Fireworks Algorithm under Cloud Computing
Revelation of a High-order Arithmetic Sequence with the Same First Term and Common Difference
Comparison of Anomaly Detection between Statistical Method and Undercomplete Autoencoder
Research on the Consumer Reviews of JD Bookstore Based on Text Mining Technology
Efficient Cache Strategy for Face Recognition System
Meta Learning for Imbalanced Big Data Analysis by using Generative Adversarial Networks
Rank NBA teams with Event-Driven PageRank Algorithm
Multi-level Container Checkpoint Performance Optimization Strategy in SDDC
A Modified Hash Based Least Significant Bits Algorithm for Steganography
Margin-based Sampling in Deep Metric Learning
Multi-join Query in Database Based on Genetic and Ant Colony Algorithm Optimization
Data Analysis of Influencing Factors of Air Quality in Chinese Cities
Semantic Connotation Profile of Online Social Relationship with Interactive Language
HMCAT: Hierachical Multi-task and Commonsense-Aware Transformer for Emotion Recognition in Conversation
Research on Online Publicity Effect Evaluation of Significant Subject
ICBDC 2022: 7th International Conference on Big Data and Computing, Shenzhen, China, May 27 - 29, 2022
Research on Communication Mode of Cluster Task for UCAVs
ICBDC 2021: 6th International Conference on Big Data and Computing, Shenzhen, China, May 22 - 24, 2021
Combining wAMAN and Matrix Factorization to Optimize One-Class Collaborative Filtering and Its Application in an Emotion-Aware Movie Recommendation System
3D Dense Dilated Hierarchical Architecture for Brain Tumor Segmentation
Bursty Event Detection via Multichannel Feature Alignment
Software Reliability Prediction Based on Optimized Support Vector Regression
Quantum Private Size Comparison Protocol Based On Grover Algorithm
A Unified SQL Middleware for NoSQL Databases
Social Media Rumor Identification Based on Random Forest Classification and Feature Engineering: Case Study on Weibo Platform: Social Media Rumor Identification Based on Random Forest Classification
A Traditional Chinese Medicine Terminology Recognition Model Based on Deep Learning: A TCM Terminology Recognition Model
An Investigation and Comparison of YOLOv5 and YOLOv7 for Fire Smoke Image Recognition
Analysis and Prospect of Disciplinary Situation of Mine Safety Field Based on Research Data
Network Traffic Monitoring System Based on Big Data Technology
Design of Asynchronous Non-block Server for Agricultural IOT
A Comprehensive Overview of BIG DATA Technologies: A Survey
Climate Event Detection Algorithm Based on Climate Category Word Embedding
Learning Partial-Value Variable Associations
Identity Credibility Evaluation Method Based on User Behavior Analysis in Cloud Environment
A Geo-weighted Grey Theory Model on the Opioid Crisis
Cognitive Ability Evaluation Model for Network Teaching
KARL: A Cost-effective Routing Algorithm in Fault Tolerant 3D Network-on-Chip via K-means Assisted Reinforcement Learning
Xiaomi Brand Appraisal Research Based on Zhihu by Text Mining Technology
Bibliometric Analysis on Human Resources and Other Research Fields of Wuhan University of Technology
Evaluation of Large-scale Complex Systems Effectiveness Based on Big Data
Seal Extraction and Incomplete Restoration in Complex Document Image
High Dynamic Range Imaging with Multiexposure Image fusion: A Variational Frame work
Research on the Hypertension Syndrome Elements Differentiation of TCM Based on Multi-label Learning and Ensemble Learning
Research on Intelligent Recommendation of Science and Technology Resource Data Based on Semantic Intelligence Analysis
Light-BCube: A Scalable and High Performance Network Structure for Modular Data Center
Research on the Synergy of Sci-Tech Financial Services in Guangdong-Hong Kong-Macao Greater Bay Area Based on the Synergy Model of Composite System
Compressed Sensing Spare Reconstruction Optimization based on the NNIA
Adoption of Information Technology in Public Accounting Firm
Application of Collaborative Filtering Recommendation Algorithm in Internet Online Courses
Generalized additive model (GAM) based corrosion growth prediction model using mass in-line inspection (ILI) data
Online Scheduling Strategy to Minimize Penalty of Tardiness for Real-Time Tasks in Mobile Edge Computing Systems
Learning and Deduction of Rules for Knowledge Graph Completion
Supervised Information Extraction of Chinese Equipment Maintenance Documents
Research and Progress on The Application of Blockchain Technology in Agricultural Product Traceability Systems
Automated Segmentation Based on Deep Learning of the MR Vessel Wall Imaging
Grand Challenges in Super-resolution Image Reconstruction
Hybrid Position Forecasting Method for Mobile Robot Transportation in Smart Indoor Environment
IPGOD: An Integrated Visualization Platform Based on Big Data Mining and Cloud Computing
The Effect of Computerized Accounting Information Systems, Big Data Anaylsis, and Internal Audit in Accounting Fraud Detection
Prediction and Evaluation of Urban Eco-sports Tourism Behavior Using Data Mining Technology
A Potential Value Preferences Elicitation Approach Based on SC-VPM and KNN
Proceedings of the 8th International Conference on Big Data and Computing, ICBDC 2023, Shenzhen, China, May 26-28, 2023
On the Performance of the r-k Class Estimator in Partial Linear Model
Grand Challenges in Printed Circuit Board Defect Detection Based on Image Processing
Medical Question Similarity Calculation Based On Weighted Domain Dictionary
A Model Selection Method for Machine Learning by Differential Evolution
Sequencis - Distributed Application Fault Characteristics Discovery using Service Logs
A Node Backup Algorithm for Fault Cascade Degradation in Virtualization Power Communication Network
Incremental Electricity Consumer Behavior Learning Using Smart Meter Data
Data Analytics for Engagement In Stem Education
A Study Comparing the Model Skill of LR, DF, and SVM in Determining Likelihood of Grant and Registration of Patents and Utility Models Assisted by Technology Application and Promotion Institute (DOST-TAPI) through Predictive Analytics
Dynamic Privacy Pricing Based on Reinforcement Learning
A Comparison of MFCC and LPCC with Deep Learning for Speaker Recognition