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Semi-supervised Question Retrieval with Gated Convolutions
Tao Lei
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Hrishikesh Joshi
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Regina Barzilay
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Tommi Jaakkola
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Kateryna Tymoshenko
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Alessandro Moschitti
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Lluís Màrquez
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
Citations
URL
One-shot Learning for Question-Answering in Gaokao History Challenge
Zhuosheng Zhang
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Hai Zhao
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Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy
Deepak Gupta
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Rajkumar Pujari
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Asif Ekbal
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Pushpak Bhattacharyya
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Anutosh Maitra
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Tom Jain
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Shubhashis Sengupta
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Extractive Headline Generation Based on Learning to Rank for Community Question Answering
Tatsuru Higurashi
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Hayato Kobayashi
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Takeshi Masuyama
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Kazuma Murao
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Rationalizing Neural Predictions
Tao Lei
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Regina Barzilay
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Tommi Jaakkola
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Learning to refine text based recommendations
Youyang Gu
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Tao Lei
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Regina Barzilay
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Tommi Jaakkola
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Rational Recurrences
Hao Peng
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Roy Schwartz
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Sam Thomson
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Noah A. Smith
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Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings
Shafiq Joty
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Lluís Màrquez
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Preslav Nakov
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Cross-language Learning with Adversarial Neural Networks
Shafiq Joty
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Preslav Nakov
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Lluís Màrquez
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Israa Jaradat
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News Citation Recommendation with Implicit and Explicit Semantics
Hao Peng
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Jing Liu
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Chin-Yew Lin
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Machine Translation Evaluation Meets Community Question Answering
Francisco Guzmán
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Lluís Màrquez
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Preslav Nakov
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SemEval-2017 Task 3: Community Question Answering
Preslav Nakov
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Doris Hoogeveen
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Lluís Màrquez
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Alessandro Moschitti
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Hamdy Mubarak
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Timothy Baldwin
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Karin Verspoor
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NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings
Yichun Yin
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Yangqiu Song
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Ming Zhang
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SJTU-NLP at SemEval-2018 Task 9: Neural Hypernym Discovery with Term Embeddings
Zhuosheng Zhang
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Jiangtong Li
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Hai Zhao
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Bingjie Tang
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Neural Paraphrase Identification of Questions with Noisy Pretraining
Gaurav Singh Tomar
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Thyago Duque
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Oscar Täckström
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Jakob Uszkoreit
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Dipanjan Das
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Improving Moderation of Online Discussions via Interpretable Neural Models
Andrej Švec
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Matúš Pikuliak
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Marián Šimko
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Mária Bieliková
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Convolutions Are All You Need (For Classifying Character Sequences)
Zach Wood-Doughty
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Nicholas Andrews
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Mark Dredze
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Field Of Study
Linguistic Trends
Embeddings
Task
Question Answering
Summarization
Machine Translation
Approach
Deep Learning
Representation Learning
Language
Arabic
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