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A SICK cure for the evaluation of compositional distributional semantic models
Marco Marelli
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Stefano Menini
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Marco Baroni
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Luisa Bentivogli
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Raffaella Bernardi
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Roberto Zamparelli
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Paper Details:
Month: May
Year: 2014
Location: Reykjavik, Iceland
Venue:
LREC |
Citations
URL
Embedding WordNet Knowledge for Textual Entailment
Yunshi Lan
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Jing Jiang
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Assessing Composition in Sentence Vector Representations
Allyson Ettinger
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Ahmed Elgohary
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Colin Phillips
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Philip Resnik
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Building an Evaluation Scale using Item Response Theory
John Lalor
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Hao Wu
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Hong Yu
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Learning Universal Sentence Representations with Mean-Max Attention Autoencoder
Minghua Zhang
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Yunfang Wu
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Weikang Li
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Wei Li
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SPADE: Evaluation Dataset for Monolingual Phrase Alignment
Yuki Arase
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Junichi Tsujii
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Learning Natural Language Inference with LSTM
Shuohang Wang
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Jing Jiang
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MUTT: Metric Unit TesTing for Language Generation Tasks
William Boag
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Renan Campos
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Kate Saenko
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Anna Rumshisky
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Building a Non-Trivial Paraphrase Corpus Using Multiple Machine Translation Systems
Yui Suzuki
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Tomoyuki Kajiwara
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Mamoru Komachi
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Ordinal Common-sense Inference
Sheng Zhang
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Rachel Rudinger
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Kevin Duh
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Benjamin Van Durme
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Learning Distributed Representations of Texts and Entities from Knowledge Base
Ikuya Yamada
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Hiroyuki Shindo
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Hideaki Takeda
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Yoshiyasu Takefuji
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CECL: a New Baseline and a Non-Compositional Approach for the Sick Benchmark
Yves Bestgen
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Probing for semantic evidence of composition by means of simple classification tasks
Allyson Ettinger
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Ahmed Elgohary
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Philip Resnik
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Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task
Allyson Ettinger
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Sudha Rao
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Hal Daumé III
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Emily M. Bender
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http://www.cs.york.ac.uk/semeval-2012/
http://www.nist.gov/tac/2011/RTE/
http://www-nlp.stanford.edu/
http://nlp.cs.illinois.edu/
http://www.cs.york.ac.uk/semeval-2012/
http://alt.qcri.org/semeval2014/task1/
http://clic.cimec.unitn.it/composes/
Field Of Study
Task
Word Sense Disambiguation
Textual Entailment
Information Retrieval
Language
English
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