pwc-archive/papers-with-abstracts huggingface dataset:
An Interactive System for Exploring Community Question Answering Forums
Authors: Enamul Hoque, Shafiq Joty, Llu{\'\i}s M{\`a}rquez, Alberto Barr{\'o}n-Cede{\~n}o, Giovanni Da San Martino, Aless Moschitti, ro, Preslav Nakov, Salvatore Romeo, Giuseppe Carenini
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Community Question Answering, Question Answering

We present an interactive system to provide effective and efficient search capabilities in Community Question Answering (cQA) forums. The system integrates state-of-the-art technology for answer search with a Web-based user interface specifically tailored to support the cQA forum readers. The answer search module automatically finds relevant answers for a new question by exploring related questions and the comments within their threads. The graphical user interface presents the search results and supports the exploration of related information. The system is running live at \url{http://www.qatarliving.com/betasearch/}.
NLmaps: A Natural Language Interface to Query OpenStreetMap
Authors: Carolin Lawrence, Stefan Riezler
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12

We present a Natural Language Interface (nlmaps.cl.uni-heidelberg.de) to query OpenStreetMap. Natural language questions about geographical facts are parsed into database queries that can be executed against the OpenStreetMap (OSM) database. After parsing the question, the system provides a text based answer as well as an interactive map with all points of interest and their relevant information marked. Additionally, we provide several options for users to give feedback after a question has been parsed.
A Reading Environment for Learners of Chinese as a Foreign Language
Authors: John Lee, Chun Yin Lam, Shu Jiang
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Articles, Language Acquisition

We present a mobile app that provides a reading environment for learners of Chinese as a foreign language. The app includes a text database that offers over 500K articles from Chinese Wikipedia. These articles have been word-segmented; each word is linked to its entry in a Chinese-English dictionary, and to automatically-generated review exercises. The app estimates the reading proficiency of the user based on a {``}to-learn{''} list of vocabulary items. It automatically constructs and maintains this list by tracking the user{'}s dictionary lookup behavior and performance in review exercises. When a user searches for articles to read, search results are filtered such that the proportion of unknown words does not exceed a user-specified threshold.
A Post-editing Interface for Immediate Adaptation in Statistical Machine Translation
Authors: Patrick Simianer, Sariya Karimova, Stefan Riezler
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Domain Adaptation, Language Modeling, Language Modelling, Machine Translation, Translation

Adaptive machine translation (MT) systems are a promising approach for improving the effectiveness of computer-aided translation (CAT) environments. There is, however, virtually only theoretical work that examines how such a system could be implemented. We present an open source post-editing interface for adaptive statistical MT, which has in-depth monitoring capabilities and excellent expandability, and can facilitate practical studies. To this end, we designed text-based and graphical post-editing interfaces. The graphical interface offers means for displaying and editing a rich view of the MT output. Our translation systems may learn from post-edits using several weight, language model and novel translation model adaptation techniques, in part by exploiting the output of the graphical interface. In a user study we show that using the proposed interface and adaptation methods, reductions in technical effort and time can be achieved.
Word Midas Powered by StringNet: Discovering Lexicogrammatical Constructions in Situ
Authors: David Wible, Nai-Lung Tsao
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Language Modeling, Language Modelling

Adult second language learners face the daunting but underappreciated task of mastering patterns of language use that are neither products of fully productive grammar rules nor frozen items to be memorized. Word Midas, a web browser extention, targets this uncharted territory of lexicogrammar by detecting multiword tokens of lexicogrammatical patterning in real time in situ within the noisy digital texts from the user{'}s unscripted web browsing or other digital venues. The language model powering Word Midas is StringNet, a densely cross-indexed navigable network of one billion lexicogrammatical patterns of English. These resources are described and their functionality is illustrated with a detailed scenario.
`BonTen' -- Corpus Concordance System for `NINJAL Web Japanese Corpus'
Authors: Masayuki Asahara, Kazuya Kawahara, Yuya Takei, Hideto Masuoka, Yasuko Ohba, Yuki Torii, Toru Morii, Yuki Tanaka, Kikuo Maekawa, Sachi Kato, Hikari Konishi
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Morphological Analysis

The National Institute for Japanese Language and Linguistics, Japan (NINJAL) has undertaken a corpus compilation project to construct a web corpus for linguistic research comprising ten billion words. The project is divided into four parts: page collection, linguistic analysis, development of the corpus concordance system, and preservation. This article presents the corpus concordance system named {`}BonTen{'} which enables the ten-billion-scaled corpus to be queried by string, a sequence of morphological information or a subtree of the syntactic dependency structure.
A Prototype Automatic Simultaneous Interpretation System
Authors: Xiaolin Wang, Andrew Finch, Masao Utiyama, Eiichiro Sumita
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12

Simultaneous interpretation allows people to communicate spontaneously across language boundaries, but such services are prohibitively expensive for the general public. This paper presents a fully automatic simultaneous interpretation system to address this problem. Though the development is still at an early stage, the system is capable of keeping up with the fastest of the TED speakers while at the same time delivering high-quality translations. We believe that the system will become an effective tool for facilitating cross-lingual communication in the future.
MuTUAL: A Controlled Authoring Support System Enabling Contextual Machine Translation
Authors: Rei Miyata, Anthony Hartley, Kyo Kageura, C{\'e}cile Paris, Masao Utiyama, Eiichiro Sumita
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Machine Translation, Translation

The paper introduces a web-based authoring support system, MuTUAL, which aims to help writers create multilingual texts. The highlighted feature of the system is that it enables machine translation (MT) to generate outputs appropriate to their functional context within the target document. Our system is operational online, implementing core mechanisms for document structuring and controlled writing. These include a topic template and a controlled language authoring assistant, linked to our statistical MT system.
Joint search in a bilingual valency lexicon and an annotated corpus
Authors: Eva Fu{\v{c}}{\'\i}kov{\'a}, Jan Haji{\v{c}}, Zde{\v{n}}ka Ure{\v{s}}ov{\'a}
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12

In this paper and the associated system demo, we present an advanced search system that allows to perform a joint search over a (bilingual) valency lexicon and a correspondingly annotated linked parallel corpus. This search tool has been developed on the basis of the Prague Czech-English Dependency Treebank, but its ideas are applicable in principle to any bilingual parallel corpus that is annotated for dependencies and valency (i.e., predicate-argument structure), and where verbs are linked to appropriate entries in an associated valency lexicon. Our online search tool consolidates more search interfaces into one, providing expanded structured search capability and a more efficient advanced way to search, allowing users to search for verb pairs, verbal argument pairs, their surface realization as recorded in the lexicon, or for their surface form actually appearing in the linked parallel corpus. The search system is currently under development, and is replacing our current search tool available at \url{http://lindat.mff.cuni.cz/services/CzEngVallex}, which could search the lexicon but the queries cannot take advantage of the underlying corpus nor use the additional surface form information from the lexicon(s). The system is available as open source.
Experiments in Candidate Phrase Selection for Financial Named Entity Extraction - A Demo
Authors: Aman Kumar, Hassan Alam, Tina Werner, Manan Vyas
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: BIG-bench Machine Learning, Entity Extraction using GAN

In this study we develop a system that tags and extracts financial concepts called financial named entities (FNE) along with corresponding numeric values {--} monetary and temporal. We employ machine learning and natural language processing methods to identify financial concepts and dates, and link them to numerical entities.
Demonstration of ChaKi.NET -- beyond the corpus search system
Authors: Masayuki Asahara, Yuji Matsumoto, Toshio Morita
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Management

ChaKi.NET is a corpus management system for dependency structure annotated corpora. After more than 10 years of continuous development, the system is now usable not only for corpus search, but also for visualization, annotation, labelling, and formatting for statistical analysis. This paper describes the various functions included in the current ChaKi.NET system.
VoxSim: A Visual Platform for Modeling Motion Language
Authors: Nikhil Krishnaswamy, James Pustejovsky
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Scene Generation

Much existing work in text-to-scene generation focuses on generating static scenes. By introducing a focus on motion verbs, we integrate dynamic semantics into a rich formal model of events to generate animations in real time that correlate with human conceptions of the event described. This paper presents a working system that generates these animated scenes over a test set, discussing challenges encountered and describing the solutions implemented.
TextImager: a Distributed UIMA-based System for NLP
Authors: Wahed Hemati, Tolga Uslu, Alex Mehler, er
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Sentiment Analysis, Text Classification

More and more disciplines require NLP tools for performing automatic text analyses on various levels of linguistic resolution. However, the usage of established NLP frameworks is often hampered for several reasons: in most cases, they require basic to sophisticated programming skills, interfere with interoperability due to using non-standard I/O-formats and often lack tools for visualizing computational results. This makes it difficult especially for humanities scholars to use such frameworks. In order to cope with these challenges, we present TextImager, a UIMA-based framework that offers a range of NLP and visualization tools by means of a user-friendly GUI. Using TextImager requires no programming skills.
DISCO: A System Leveraging Semantic Search in Document Review
Authors: Ngoc Phuoc An Vo, Fabien Guillot, Caroline Privault
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Clustering, Text Categorization, Text Clustering

This paper presents Disco, a prototype for supporting knowledge workers in exploring, reviewing and sorting collections of textual data. The goal is to facilitate, accelerate and improve the discovery of information. To this end, it combines Semantic Relatedness techniques with a review workflow developed in a tangible environment. Disco uses a semantic model that is leveraged on-line in the course of search sessions, and accessed through natural hand-gesture, in a simple and intuitive way.
pke: an open source python-based keyphrase extraction toolkit
Authors: Florian Boudin
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Benchmarking, Keyphrase Extraction, Text Categorization

We describe pke, an open source python-based keyphrase extraction toolkit. It provides an end-to-end keyphrase extraction pipeline in which each component can be easily modified or extented to develop new approaches. pke also allows for easy benchmarking of state-of-the-art keyphrase extraction approaches, and ships with supervised models trained on the SemEval-2010 dataset.
Langforia: Language Pipelines for Annotating Large Collections of Documents
Authors: Marcus Klang, Pierre Nugues
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Articles, Dependency Parsing, Entity Linking, Question Answering, Semantic Role Labeling

In this paper, we describe \textbf{Langforia}, a multilingual processing pipeline to annotate texts with multiple layers: formatting, parts of speech, named entities, dependencies, semantic roles, and entity links. Langforia works as a web service, where the server hosts the language processing components and the client, the input and result visualization. To annotate a text or a Wikipedia page, the user chooses an NLP pipeline and enters the text in the interface or selects the page URL. Once processed, the results are returned to the client, where the user can select the annotation layers s/he wants to visualize. We designed Langforia with a specific focus for Wikipedia, although it can process any type of text. Wikipedia has become an essential encyclopedic corpus used in many NLP projects. However, processing articles and visualizing the annotations are nontrivial tasks that require dealing with multiple markup variants, encodings issues, and tool incompatibilities across the language versions. This motivated the development of a new architecture. A demonstration of Langforia is available for six languages: English, French, German, Spanish, Russian, and Swedish at \url{http://vilde.cs.lth.se:9000/} as well as a web API: \url{http://vilde.cs.lth.se:9000/api}. Langforia is also provided as a standalone library and is compatible with cluster computing.
Anita: An Intelligent Text Adaptation Tool
Authors: Gustavo Paetzold, Lucia Specia
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Lexical Simplification, Text Simplification

We introduce Anita: a flexible and intelligent Text Adaptation tool for web content that provides Text Simplification and Text Enhancement modules. Anita{'}s simplification module features a state-of-the-art system that adapts texts according to the needs of individual users, and its enhancement module allows the user to search for a word{'}s definitions, synonyms, translations, and visual cues through related images. These utilities are brought together in an easy-to-use interface of a freely available web browser extension.
HistoryComparator: Interactive Across-Time Comparison in Document Archives
Authors: Adam Jatowt, Marc Bron
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Articles, Clustering, Decision Making, Named Entity Recognition (NER)

Recent years have witnessed significant increase in the number of large scale digital collections of archival documents such as news articles, books, etc. Typically, users access these collections through searching or browsing. In this paper we investigate another way of accessing temporal collections - across-time comparison, i.e., comparing query-relevant information at different periods in the past. We propose an interactive framework called HistoryComparator for contrastively analyzing concepts in archival document collections at different time periods.
On-line Multilingual Linguistic Services
Authors: Eric Wehrli, Yves Scherrer, Luka Nerima
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Dependency Parsing, POS, POS Tagging

In this demo, we present our free on-line multilingual linguistic services which allow to analyze sentences or to extract collocations from a corpus directly on-line, or by uploading a corpus. They are available for 8 European languages (English, French, German, Greek, Italian, Portuguese, Romanian, Spanish) and can also be accessed as web services by programs. While several open systems are available for POS-tagging and dependency parsing or terminology extraction, their integration into an application requires some computational competence. Furthermore, none of the parsers/taggers handles MWEs very satisfactorily, in particular when the two terms of the collocation are distant from each other or in reverse order. Our tools, on the other hand, are specifically designed for users with no particular computational literacy. They do not require from the user any download, installation or adaptation if used on-line, and their integration in an application, using one the scripts described below is quite easy. Furthermore, by default, the parser handles collocations and other MWEs, as well as anaphora resolution (limited to 3rd person personal pronouns). When used in the tagger mode, it can be set to display grammatical functions and collocations.
A Customizable Editor for Text Simplification
Authors: John Lee, Wenlong Zhao, Wenxiu Xie
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Lexical Simplification, Sentence, Text Simplification

We present a browser-based editor for simplifying English text. Given an input sentence, the editor performs both syntactic and lexical simplification. It splits a complex sentence into shorter ones, and suggests word substitutions in drop-down lists. The user can choose the best substitution from the list, undo any inappropriate splitting, and further edit the sentence as necessary. A significant novelty is that the system accepts a customized vocabulary list for a target reader population. It identifies all words in the text that do not belong to the list, and attempts to substitute them with words from the list, thus producing a text tailored for the targeted readers.
CATaLog Online: A Web-based CAT Tool for Distributed Translation with Data Capture for APE and Translation Process Research
Authors: Santanu Pal, Sudip Kumar Naskar, Marcos Zampieri, Tapas Nayak, Josef van Genabith
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Automatic Post-Editing, Machine Translation, Translation

We present a free web-based CAT tool called CATaLog Online which provides a novel and user-friendly online CAT environment for post-editors/translators. The goal is to support distributed translation, reduce post-editing time and effort, improve the post-editing experience and capture data for incremental MT/APE (automatic post-editing) and translation process research. The tool supports individual as well as batch mode file translation and provides translations from three engines {--} translation memory (TM), MT and APE. TM suggestions are color coded to accelerate the post-editing task. The users can integrate their personal TM/MT outputs. The tool remotely monitors and records post-editing activities generating an extensive range of post-editing logs.
Interactive Relation Extraction in Main Memory Database Systems
Authors: Rudolf Schneider, Cordula Guder, Torsten Kilias, Alex L{\"o}ser, er, Jens Graupmann, Oleks Kozachuk, R
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Open Information Extraction, Relation, Relation Extraction

We present INDREX-MM, a main memory database system for interactively executing two interwoven tasks, declarative relation extraction from text and their exploitation with SQL. INDREX-MM simplifies these tasks for the user with powerful SQL extensions for gathering statistical semantics, for executing open information extraction and for integrating relation candidates with domain specific data. We demonstrate these functions on 800k documents from Reuters RCV1 with more than a billion linguistic annotations and report execution times in the order of seconds.
An Open Source Library for Semantic-Based Datetime Resolution
Authors: Aur{\'e}lie Merlo, Denis Pasin
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12

In this paper, we introduce an original Python implementation of datetime resolution in french, which we make available as open-source library. Our approach is based on Frame Semantics and Corpus Pattern Analysis in order to provide a precise semantic interpretation of datetime expressions. This interpretation facilitates the contextual resolution of datetime expressions in timestamp format.
TASTY: Interactive Entity Linking As-You-Type
Authors: Sebastian Arnold, Robert Dziuba, Alex L{\"o}ser, er
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Articles, Entity Linking, TAG, Vocal Bursts Type Prediction, Word Embeddings

We introduce TASTY (Tag-as-you-type), a novel text editor for interactive entity linking as part of the writing process. Tasty supports the author of a text with complementary information about the mentioned entities shown in a {`}live{'} exploration view. The system is automatically triggered by keystrokes, recognizes mention boundaries and disambiguates the mentioned entities to Wikipedia articles. The author can use seven operators to interact with the editor and refine the results according to his specific intention while writing. Our implementation captures syntactic and semantic context using a robust end-to-end LSTM sequence learner and word embeddings. We demonstrate the applicability of our system in English and German language for encyclopedic or medical text. Tasty is currently being tested in interactive applications for text production, such as scientific research, news editorial, medical anamnesis, help desks and product reviews.
What topic do you want to hear about? A bilingual talking robot using English and Japanese Wikipedias
Authors: Graham Wilcock, Kristiina Jokinen, Seiichi Yamamoto
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Navigate

We demonstrate a bilingual robot application, WikiTalk, that can talk fluently in both English and Japanese about almost any topic using information from English and Japanese Wikipedias. The English version of the system has been demonstrated previously, but we now present a live demo with a Nao robot that speaks English and Japanese and switches language on request. The robot supports the verbal interaction with face-tracking, nodding and communicative gesturing. One of the key features of the WikiTalk system is that the robot can switch from the current topic to related topics during the interaction in order to navigate around Wikipedia following the user{'}s individual interests.
Annotating Discourse Relations with the PDTB Annotator
Authors: Alan Lee, Rashmi Prasad, Bonnie Webber, Aravind K. Joshi
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12

The PDTB Annotator is a tool for annotating and adjudicating discourse relations based on the annotation framework of the Penn Discourse TreeBank (PDTB). This demo describes the benefits of using the PDTB Annotator, gives an overview of the PDTB Framework and discusses the tool{'}s features, setup requirements and how it can also be used for adjudication.
Opinion Retrieval Systems using Tweet-external Factors
Authors: Yoon-Sung Kim, Young-In Song, Hae-Chang Rim
Date: 2016-12-01 00:00:00
Proceeding: COLING 2016 12
Tasks: Opinion Mining, Retrieval, Sentiment Analysis

Opinion mining is a natural language processing technique which extracts subjective information from natural language text. To estimate an opinion about a query in large data collection, an opinion retrieval system that retrieves subjective and relevant information about the query can be useful. We present an opinion retrieval system that retrieves subjective and query-relevant tweets from Twitter, which is a useful source of obtaining real-time opinions. Our system outperforms previous opinion retrieval systems, and it further provides subjective information about Twitter authors and hashtags to describe their subjective tendencies.