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ECNU: One Stone Two Birds: Ensemble of Heterogenous Measures for Semantic Relatedness and Textual Entailment
Jiang Zhao
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Tiantian Zhu
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Man Lan
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Paper Details:
Month: August
Year: 2014
Location: Dublin, Ireland
Venue:
*SEMEVAL |
SIG: SIGLEX
Citations
URL
Modelling Sentence Pairs with Tree-structured Attentive Encoder
Yao Zhou
|
Cong Liu
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Yan Pan
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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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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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Adding Semantics to Data-Driven Paraphrasing
Ellie Pavlick
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Johan Bos
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Malvina Nissim
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Charley Beller
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Benjamin Van Durme
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Chris Callison-Burch
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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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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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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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ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation
Jiang Zhao
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Man Lan
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Jun Feng Tian
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ECNU: Using Multiple Sources of CQA-based Information for Answers Selection and YES/NO Response Inference
Liang Yi
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JianXiang Wang
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Man Lan
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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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ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity
Junfeng Tian
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Zhiheng Zhou
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Man Lan
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Yuanbin Wu
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Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts
Pankaj Gupta
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Bernt Andrassy
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Hinrich Schütze
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Identification of Parallel Sentences in Comparable Monolingual Corpora from Different Registers
Rémi Cardon
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Natalia Grabar
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http://creativecommons.org/licenses/by/4.0/
http://wordnet.princeton.edu/
http://nltk.org/
http://nlp.stanford.edu/software/tagger.shtml
http://nlp.stanford.edu/software/lex-parser.shtml
https://catalog.ldc.upenn.edu/LDC2006T13
Field Of Study
Task
Word Sense Disambiguation
Textual Entailment
Semantic Similarity
Approach
Semi-supervised Learning
Language
English
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