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UNAL-NLP: Combining Soft Cardinality Features for Semantic Textual Similarity, Relatedness and Entailment
Sergio Jimenez
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George Dueñas
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Julia Baquero
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Alexander Gelbukh
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Paper Details:
Month: August
Year: 2014
Location: Dublin, Ireland
Venue:
*SEMEVAL |
SIG: SIGLEX
Citations
URL
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification
Han Guo
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Ramakanth Pasunuru
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Mohit Bansal
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Convolutional Neural Network for Universal Sentence Embeddings
Xiaoqi Jiao
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Fang Wang
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Dan Feng
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Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks
Hua He
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Kevin Gimpel
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Jimmy Lin
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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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Reinforced Video Captioning with Entailment Rewards
Ramakanth Pasunuru
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Mohit Bansal
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Inter-Weighted Alignment Network for Sentence Pair Modeling
Gehui Shen
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Yunlun Yang
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Zhi-Hong Deng
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Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching
Wenpeng Yin
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Hinrich Schütze
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Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement
Hua He
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Jimmy Lin
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Multi-Reward Reinforced Summarization with Saliency and Entailment
Ramakanth Pasunuru
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Mohit Bansal
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Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai
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Richard Socher
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Christopher D. Manning
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Multi-Task Video Captioning with Video and Entailment Generation
Ramakanth Pasunuru
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Mohit Bansal
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Question Answering through Transfer Learning from Large Fine-grained Supervision Data
Sewon Min
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Minjoon Seo
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Hannaneh Hajishirzi
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Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
Han Guo
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Ramakanth Pasunuru
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Mohit Bansal
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ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
Wenpeng Yin
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Hinrich Schütze
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Bing Xiang
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Bowen Zhou
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SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment
Marco Marelli
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Luisa Bentivogli
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Marco Baroni
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Raffaella Bernardi
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Stefano Menini
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Roberto Zamparelli
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SemEval-2014 Task 10: Multilingual Semantic Textual Similarity
Eneko Agirre
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Carmen Banea
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Claire Cardie
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Daniel Cer
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Mona Diab
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Aitor Gonzalez-Agirre
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Weiwei Guo
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Rada Mihalcea
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German Rigau
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Janyce Wiebe
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FCICU: The Integration between Sense-Based Kernel and Surface-Based Methods to Measure Semantic Textual Similarity
Basma Hassan
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Samir AbdelRahman
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Reem Bahgat
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UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation
Peng Li
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Heng Huang
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SERGIOJIMENEZ at SemEval-2016 Task 1: Effectively Combining Paraphrase Database, String Matching, WordNet, and Word Embedding for Semantic Textual Similarity
Sergio Jimenez
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http://creativecommons.org/licenses/by/4.0/
http://www.nltk.org/
https://github.com/alvations/pywsd
http://nlp.stanford.edu/software/lex-parser.shtml
http://www.myenglishpages.com/site
http://www.allaboutspace.com/wordlist/opposites.shtml
http://www.michigan-proficiency-exams.com/antonym-list.html
http://examples.yourdictionary.com/examples-of-antonyms.html
http://www.synonyms-antonyms.com/antonyms.html
http://englishwilleasy.com/word-must-know/vocabulary/vocabulary-list-by-opposites-or-antonyms/
http://www.meridianschools.org/staff/districtcurriculum/moreresources/languagearts/all
http://mrsbrower.weebly.com/uploads/1/3/2/4/13243672/antonymlist.pdf
https://foxhugh.wordpress.com/word-lists/list-of-antonyms/
http://www.paulnoll.com/Books/Clear-English/English-antonyms-1.html
http://wordnet.princeton.edu/wordnet/download/
Field Of Study
Task
Word Sense Disambiguation
Textual Entailment
Language
Multilingual
English
Spanish
Dataset
News
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