May 4, 2019

958 words 5 mins read

Paper Group NANR 154

Quantificational features in distributional word representations. Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics. UTHealth at SemEval-2016 Task 12: an End-to-End System for Temporal Information Extraction from Clinical Notes. Natural Solution to FraCaS Entailment Problems. Effective Crowd Annotation for Relation Ex …

Quantificational features in distributional word representations


Title	Quantificational features in distributional word representations
Authors	Tal Linzen, Emmanuel Dupoux, Benjamin Spector
Abstract
Tasks
Published	2016-08-01
URL	https://www.aclweb.org/anthology/S16-2001/
PDF	https://www.aclweb.org/anthology/S16-2001
PWC	https://paperswithcode.com/paper/quantificational-features-in-distributional
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Framework

Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics


Title	Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics
Authors
Abstract
Tasks
Published	2016-08-01
URL	https://www.aclweb.org/anthology/S16-2000/
PDF	https://www.aclweb.org/anthology/S16-2000
PWC	https://paperswithcode.com/paper/proceedings-of-the-fifth-joint-conference-on
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Framework

UTHealth at SemEval-2016 Task 12: an End-to-End System for Temporal Information Extraction from Clinical Notes


Title	UTHealth at SemEval-2016 Task 12: an End-to-End System for Temporal Information Extraction from Clinical Notes
Authors	Hee-Jin Lee, Hua Xu, Jingqi Wang, Yaoyun Zhang, Sungrim Moon, Jun Xu, Yonghui Wu
Abstract
Tasks	Named Entity Recognition, Temporal Information Extraction
Published	2016-06-01
URL	https://www.aclweb.org/anthology/S16-1201/
PDF	https://www.aclweb.org/anthology/S16-1201
PWC	https://paperswithcode.com/paper/uthealth-at-semeval-2016-task-12-an-end-to
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Framework

Natural Solution to FraCaS Entailment Problems


Title	Natural Solution to FraCaS Entailment Problems
Authors	Lasha Abzianidze
Abstract
Tasks	Automated Theorem Proving, Natural Language Inference, Question Answering, Relation Extraction
Published	2016-08-01
URL	https://www.aclweb.org/anthology/S16-2007/
PDF	https://www.aclweb.org/anthology/S16-2007
PWC	https://paperswithcode.com/paper/natural-solution-to-fracas-entailment
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Framework

Effective Crowd Annotation for Relation Extraction


Title	Effective Crowd Annotation for Relation Extraction
Authors	Angli Liu, Stephen Soderland, Jonathan Bragg, Christopher H. Lin, Xiao Ling, Daniel S. Weld
Abstract
Tasks	Knowledge Base Population, Question Answering, Relation Extraction
Published	2016-06-01
URL	https://www.aclweb.org/anthology/papers/N16-1104/n16-1104
PDF	https://www.aclweb.org/anthology/N16-1104
PWC	https://paperswithcode.com/paper/effective-crowd-annotation-for-relation
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Framework

Building Tempo-HindiWordNet: A resource for effective temporal information access in Hindi


Title	Building Tempo-HindiWordNet: A resource for effective temporal information access in Hindi
Authors	Dipawesh Pawar, Mohammed Hasanuzzaman, Asif Ekbal
Abstract	In this paper, we put forward a strategy that supplements Hindi WordNet entries with information on the temporality of its word senses. Each synset of Hindi WordNet is automatically annotated to one of the five dimensions: past, present, future, neutral and atemporal. We use semi-supervised learning strategy to build temporal classifiers over the glosses of manually selected initial seed synsets. The classification process is iterated based on the repetitive confidence based expansion strategy of the initial seed list until cross-validation accuracy drops. The resource is unique in its nature as, to the best of our knowledge, still no such resource is available for Hindi.
Tasks
Published	2016-05-01
URL	https://www.aclweb.org/anthology/L16-1595/
PDF	https://www.aclweb.org/anthology/L16-1595
PWC	https://paperswithcode.com/paper/building-tempo-hindiwordnet-a-resource-for
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Framework

Rumor Identification and Belief Investigation on Twitter


Title	Rumor Identification and Belief Investigation on Twitter
Authors	Sardar Hamidian, Mona Diab
Abstract
Tasks
Published	2016-06-01
URL	https://www.aclweb.org/anthology/W16-0403/
PDF	https://www.aclweb.org/anthology/W16-0403
PWC	https://paperswithcode.com/paper/rumor-identification-and-belief-investigation
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Framework

A semi automatic annotation approach for ontological and terminological knowledge acquisition


Title	A semi automatic annotation approach for ontological and terminological knowledge acquisition
Authors	Driss Sadoun
Abstract	We propose a semi-automatic method for the acquisition of specialised ontological and terminological knowledge. An ontology and a terminology are automatically built from domain experts{'} annotations. The ontology formalizes the common and shared conceptual vocabulary of those experts. Its associated terminology defines a glossary linking annotated terms to their semantic categories. These two resources evolve incrementally and are used for an automatic annotation of a new corpus at each iteration. The annotated corpus concerns the evaluation of French higher education and science institutions.
Tasks
Published	2016-12-01
URL	https://www.aclweb.org/anthology/W16-4713/
PDF	https://www.aclweb.org/anthology/W16-4713
PWC	https://paperswithcode.com/paper/a-semi-automatic-annotation-approach-for
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Framework

Universal Reordering via Linguistic Typology


Title	Universal Reordering via Linguistic Typology
Authors	Joachim Daiber, Milo{\v{s}} Stanojevi{'c}, Khalil Sima{'}an
Abstract	In this paper we explore the novel idea of building a single universal reordering model from English to a large number of target languages. To build this model we exploit typological features of word order for a large number of target languages together with source (English) syntactic features and we train this model on a single combined parallel corpus representing all (22) involved language pairs. We contribute experimental evidence for the usefulness of linguistically defined typological features for building such a model. When the universal reordering model is used for preordering followed by monotone translation (no reordering inside the decoder), our experiments show that this pipeline gives comparable or improved translation performance with a phrase-based baseline for a large number of language pairs (12 out of 22) from diverse language families.
Tasks	Machine Translation
Published	2016-12-01
URL	https://www.aclweb.org/anthology/C16-1298/
PDF	https://www.aclweb.org/anthology/C16-1298
PWC	https://paperswithcode.com/paper/universal-reordering-via-linguistic-typology
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Framework

Proceedings of the NAACL Student Research Workshop


Title	Proceedings of the NAACL Student Research Workshop
Authors
Abstract
Tasks
Published	2016-06-01
URL	https://www.aclweb.org/anthology/N16-2000/
PDF	https://www.aclweb.org/anthology/N16-2000
PWC	https://paperswithcode.com/paper/proceedings-of-the-naacl-student-research
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Framework

Data-driven Paraphrasing and Stylistic Harmonization


Title	Data-driven Paraphrasing and Stylistic Harmonization
Authors	Gerold Hintz
Abstract
Tasks	Abstractive Text Summarization, Document Summarization, Multi-Document Summarization, Relation Extraction, Semantic Textual Similarity
Published	2016-06-01
URL	https://www.aclweb.org/anthology/N16-2006/
PDF	https://www.aclweb.org/anthology/N16-2006
PWC	https://paperswithcode.com/paper/data-driven-paraphrasing-and-stylistic
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Framework

Developing language technology tools and resources for a resource-poor language: Sindhi


Title	Developing language technology tools and resources for a resource-poor language: Sindhi
Authors	Raveesh Motlani
Abstract
Tasks	Machine Translation, Speech Recognition, Transliteration
Published	2016-06-01
URL	https://www.aclweb.org/anthology/N16-2008/
PDF	https://www.aclweb.org/anthology/N16-2008
PWC	https://paperswithcode.com/paper/developing-language-technology-tools-and
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Framework

Non-decreasing Sub-modular Function for Comprehensible Summarization


Title	Non-decreasing Sub-modular Function for Comprehensible Summarization
Authors	Litton J Kurisinkel, Pruthwik Mishra, Vigneshwaran Muralidaran, Vasudeva Varma, Dipti Misra Sharma
Abstract
Tasks	Text Summarization
Published	2016-06-01
URL	https://www.aclweb.org/anthology/N16-2014/
PDF	https://www.aclweb.org/anthology/N16-2014
PWC	https://paperswithcode.com/paper/non-decreasing-sub-modular-function-for
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Framework

Question Answering over Knowledge Base using Factual Memory Networks


Title	Question Answering over Knowledge Base using Factual Memory Networks
Authors	Sarthak Jain
Abstract
Tasks	Information Retrieval, Open-Domain Question Answering, Question Answering, Semantic Parsing
Published	2016-06-01
URL	https://www.aclweb.org/anthology/N16-2016/
PDF	https://www.aclweb.org/anthology/N16-2016
PWC	https://paperswithcode.com/paper/question-answering-over-knowledge-base-using
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Framework

rstWeb - A Browser-based Annotation Interface for Rhetorical Structure Theory and Discourse Relations


Title	rstWeb - A Browser-based Annotation Interface for Rhetorical Structure Theory and Discourse Relations
Authors	Amir Zeldes
Abstract
Tasks
Published	2016-06-01
URL	https://www.aclweb.org/anthology/N16-3001/
PDF	https://www.aclweb.org/anthology/N16-3001
PWC	https://paperswithcode.com/paper/rstweb-a-browser-based-annotation-interface
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Framework