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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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Paper Details:
Year: 2016
Venue:
TACL |
Citations
URL
Simple Question Answering by Attentive Convolutional Neural Network
Wenpeng Yin
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Mo Yu
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Bing Xiang
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Bowen Zhou
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Hinrich Schütze
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A Neural Question Answering Model Based on Semi-Structured Tables
Hao Wang
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Xiaodong Zhang
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Shuming Ma
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Xu Sun
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Houfeng Wang
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Mengxiang Wang
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Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering
Wuwei Lan
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Wei Xu
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Identifying attack and support argumentative relations using deep learning
Oana Cocarascu
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Francesca Toni
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A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto
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Caiming Xiong
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Yoshimasa Tsuruoka
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Richard Socher
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Convolutional Interaction Network for Natural Language Inference
Jingjing Gong
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Xipeng Qiu
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Xinchi Chen
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Dong Liang
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Xuanjing Huang
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Cross-Pair Text Representations for Answer Sentence Selection
Kateryna Tymoshenko
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Alessandro Moschitti
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Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting
Katharina Kann
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Hinrich Schütze
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Mapping natural language commands to web elements
Panupong Pasupat
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Tian-Shun Jiang
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Evan Liu
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Kelvin Guu
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Percy Liang
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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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Explainable Prediction of Medical Codes from Clinical Text
James Mullenbach
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Sarah Wiegreffe
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Jon Duke
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Jimeng Sun
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Jacob Eisenstein
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Character-Based Neural Networks for Sentence Pair Modeling
Wuwei Lan
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Wei Xu
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Document Modeling with External Attention for Sentence Extraction
Shashi Narayan
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Ronald Cardenas
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Nikos Papasarantopoulos
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Shay B. Cohen
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Mirella Lapata
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Jiangsheng Yu
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Yi Chang
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End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions
Wenpeng Yin
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Dan Roth
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Hinrich Schütze
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Questionable Answers in Question Answering Research: Reproducibility and Variability of Published Results
Matt Crane
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Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms
Wenpeng Yin
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Hinrich Schütze
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Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
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James Glass
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iUBC at SemEval-2016 Task 2: RNNs and LSTMs for interpretable STS
Iñigo Lopez-Gazpio
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Eneko Agirre
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Montse Maritxalar
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Combining CNNs and Pattern Matching for Question Interpretation in a Virtual Patient Dialogue System
Lifeng Jin
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Michael White
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Evan Jaffe
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Laura Zimmerman
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Douglas Danforth
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Domain Adaptation for Disease Phrase Matching with Adversarial Networks
Miaofeng Liu
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Jialong Han
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Haisong Zhang
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Yan Song
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AUEB at BioASQ 6: Document and Snippet Retrieval
George Brokos
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Polyvios Liosis
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Ryan McDonald
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Dimitris Pappas
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Ion Androutsopoulos
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Iterative Recursive Attention Model for Interpretable Sequence Classification
Martin Tutek
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Jan Šnajder
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https://github.com/
http://scikit-learn.org/stable/
http://aka.ms/WikiQA
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Named Entity Recognition
Textual Entailment
Information Retrieval
Question Answering
Summarization
Machine Translation
Approach
Deep Learning
Representation Learning
Language
English
Dataset
News
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