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Automatic Learning of Textual Entailments with Cross-Pair Similarities
Fabio Massimo Zanzotto
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Alessandro Moschitti
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Paper Details:
Month: July
Year: 2006
Location: Sydney, Australia
Venue:
ACL |
COLING |
Citations
URL
Coreference Systems Based on Kernels Methods
Yannick Versley
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Alessandro Moschitti
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Massimo Poesio
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Xiaofeng Yang
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Neural Attention for Learning to Rank Questions in Community Question Answering
Salvatore Romeo
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Giovanni Da San Martino
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Alberto Barrón-Cedeño
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Alessandro Moschitti
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Yonatan Belinkov
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Wei-Ning Hsu
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Yu Zhang
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Mitra Mohtarami
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James Glass
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Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition
Lei Sha
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Baobao Chang
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Zhifang Sui
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Sujian Li
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Efficient kernels for sentence pair classification
Fabio Massimo Zanzotto
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Lorenzo Dell’Arciprete
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Towards Conversation Entailment: An Empirical Investigation
Chen Zhang
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Joyce Chai
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Linguistic Redundancy in Twitter
Fabio Massimo Zanzotto
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Marco Pennacchiotti
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Kostas Tsioutsiouliklis
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Automatic Feature Engineering for Answer Selection and Extraction
Aliaksei Severyn
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Alessandro Moschitti
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Learning to Differentiate Better from Worse Translations
Francisco Guzmán
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Shafiq Joty
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Lluís Màrquez
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Alessandro Moschitti
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Preslav Nakov
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Massimo Nicosia
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Recognizing Textual Entailment Using Probabilistic Inference
Lei Sha
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Sujian Li
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Baobao Chang
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Zhifang Sui
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Tingsong Jiang
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Cross-Pair Text Representations for Answer Sentence Selection
Kateryna Tymoshenko
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Alessandro Moschitti
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Inference Rules and their Application to Recognizing Textual Entailment
Georgiana Dinu
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Rui Wang
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Syntactic and Semantic Kernels for Short Text Pair Categorization
Alessandro Moschitti
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JUST.ASK, a QA system that learns to answer new questions from previous interactions
Sérgio Curto
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Ana C. Mendes
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Pedro Curto
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Luísa Coheur
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Ângela Costa
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Discriminative Learning over Constrained Latent Representations
Ming-Wei Chang
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Dan Goldwasser
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Dan Roth
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Vivek Srikumar
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Tree Edit Models for Recognizing Textual Entailments, Paraphrases, and Answers to Questions
Michael Heilman
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Noah A. Smith
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Syntactic/Semantic Structures for Textual Entailment Recognition
Yashar Mehdad
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Alessandro Moschitti
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Fabio Massimo Zanzotto
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A Probabilistic Modeling Framework for Lexical Entailment
Eyal Shnarch
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Jacob Goldberger
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Ido Dagan
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Structural Representations for Learning Relations between Pairs of Texts
Simone Filice
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Giovanni Da San Martino
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Alessandro Moschitti
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Addressing Limited Data for Textual Entailment Across Domains
Chaitanya Shivade
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Preethi Raghavan
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Siddharth Patwardhan
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haLF: Comparing a Pure CDSM Approach with a Standard Machine Learning System for RTE
Lorenzo Ferrone
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Fabio Massimo Zanzotto
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Recognizing Textual Entailment Using Sentence Similarity based on Dependency Tree Skeletons
Rui Wang
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Günter Neumann
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Shallow Semantic in Fast Textual Entailment Rule Learners
Fabio Massimo Zanzotto
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Marco Pennacchiotti
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Alessandro Moschitti
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Expanding textual entailment corpora fromWikipedia using co-training
Fabio Massimo Zanzotto
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Marco Pennacchiotti
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Distributed Structures and Distributional Meaning
Fabio Massimo Zanzotto
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Lorenzo Dell’Arciprete
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Towards a Probabilistic Model for Lexical Entailment
Eyal Shnarch
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Jacob Goldberger
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Ido Dagan
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Arabic Textual Entailment with Word Embeddings
Nada Almarwani
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Mona Diab
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http://www.natcorp.ox.ac.uk/
http://ai-nlp.info
Field Of Study
Task
Syntactic Parsing
Textual Entailment
Question Answering
Language
English
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