Search Results for author: Janyce Wiebe

Found 23 papers, 0 papers with code

An Interactive Tool for Natural Language Processing on Clinical Text

no code implementations • 6 Jul 2017 • Gaurav Trivedi, Phuong Pham, Wendy Chapman, Rebecca Hwa, Janyce Wiebe, Harry Hochheiser

Natural Language Processing (NLP) systems often make use of machine learning techniques that are unfamiliar to end-users who are interested in analyzing clinical records.

BIG-bench Machine Learning

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SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation

no code implementations • SEMEVAL 2016 • Eneko Agirre, Carmen Banea, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Rada Mihalcea, German Rigau, Janyce Wiebe

Machine Translation Natural Language Inference +2

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How can NLP Tasks Mutually Benefit Sentiment Analysis? A Holistic Approach to Sentiment Analysis

no code implementations • WS 2016 • Lingjia Deng, Janyce Wiebe

Entity Linking Semantic Role Labeling +1

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Joint Prediction for Entity/Event-Level Sentiment Analysis using Probabilistic Soft Logic Models

no code implementations • EMNLP 2015 • Lingjia Deng, Janyce Wiebe

Question Answering Sentiment Analysis

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Sentiment and Belief: How to Think about, Represent, and Annotate Private States

no code implementations • IJCNLP 2015 • Owen Rambow, Janyce Wiebe

Opinion Mining Question Answering +1

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SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability

no code implementations • SEMEVAL 2015 • Eneko Agirre, Carmen Banea, Claire Cardie, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Weiwei Guo, I{\~n}igo Lopez-Gazpio, Montse Maritxalar, Rada Mihalcea, German Rigau, Larraitz Uria, Janyce Wiebe

Natural Language Inference Question Answering +2

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A New Dataset and Evaluation for Belief/Factuality

no code implementations • SEMEVAL 2015 • Vinodkumar Prabhakaran, Tomas By, Julia Hirschberg, Owen Rambow, Samira Shaikh, Tomek Strzalkowski, Jennifer Tracey, Michael Arrigo, Rupayan Basu, Micah Clark, Adam Dalton, Mona Diab, Louise Guthrie, Anna Prokofieva, Stephanie Strassel, Gregory Werner, Yorick Wilks, Janyce Wiebe

Knowledge Base Population

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MPQA 3.0: An Entity/Event-Level Sentiment Corpus

no code implementations • HLT 2015 • Janyce Wiebe, Lingjia Deng

Knowledge Base Population Opinion Mining +3

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+/-EffectWordNet: Sense-level Lexicon Acquisition for Opinion Inference

no code implementations • EMNLP 2014 • Yoonjung Choi, Janyce Wiebe

Opinion Mining Sentiment Analysis

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SimCompass: Using Deep Learning Word Embeddings to Assess Cross-level Similarity

no code implementations • SEMEVAL 2014 • Carmen Banea, Di Chen, Rada Mihalcea, Claire Cardie, Janyce Wiebe

Information Retrieval Learning Word Embeddings +5

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SemEval-2014 Task 10: Multilingual Semantic Textual Similarity

no code implementations • SEMEVAL 2014 • Eneko Agirre, Carmen Banea, Claire Cardie, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Weiwei Guo, Rada Mihalcea, German Rigau, Janyce Wiebe

Machine Translation Natural Language Inference +2

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Joint Inference and Disambiguation of Implicit Sentiments via Implicature Constraints

no code implementations • COLING 2014 • Lingjia Deng, Janyce Wiebe, Yoonjung Choi

Sentiment Analysis

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An Investigation for Implicatures in Chinese : Implicatures in Chinese and in English are similar !

no code implementations • WS 2014 • Lingjia Deng, Janyce Wiebe

Implicatures Sentiment Analysis

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A Conceptual Framework for Inferring Implicatures

no code implementations • WS 2014 • Janyce Wiebe, Lingjia Deng

Implicatures Sentiment Analysis

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Generating Patient Problem Lists from the ShARe Corpus using SNOMED CT/SNOMED CT CORE Problem List

no code implementations • WS 2014 • Danielle Mowery, Mindy Ross, Sumithra Velupillai, Stephane Meystre, Janyce Wiebe, Wendy Chapman

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Lexical Acquisition for Opinion Inference: A Sense-Level Lexicon of Benefactive and Malefactive Events

no code implementations • WS 2014 • Yoonjung Choi, Lingjia Deng, Janyce Wiebe

Sentiment Analysis

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An Account of Opinion Implicatures

no code implementations • 23 Apr 2014 • Janyce Wiebe, Lingjia Deng

While previous sentiment analysis research has concentrated on the interpretation of explicitly stated opinions and attitudes, this work initiates the computational study of a type of opinion implicature (i. e., opinion-oriented inference) in text.

Implicatures Sentence +1