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Learning Hybrid Representations to Retrieve Semantically Equivalent Questions
Cícero dos Santos
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Luciano Barbosa
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Dasha Bogdanova
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Bianca Zadrozny
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
ACL |
IJCNLP |
Citations
URL
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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Selecting Sentences versus Selecting Tree Constituents for Automatic Question Ranking
Alberto Barrón-Cedeño
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Giovanni Da San Martino
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Salvatore Romeo
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Alessandro Moschitti
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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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It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering
Preslav Nakov
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Lluís Màrquez
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Francisco Guzmán
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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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Adversarial Domain Adaptation for Duplicate Question Detection
Darsh Shah
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Tao Lei
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Alessandro Moschitti
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Salvatore Romeo
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Preslav Nakov
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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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Joint Learning with Global Inference for Comment Classification in Community Question Answering
Shafiq Joty
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Lluís Màrquez
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Preslav Nakov
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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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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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Improved Representation Learning for Question Answer Matching
Ming Tan
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Cicero dos Santos
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Bing Xiang
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Bowen Zhou
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Learning Text Pair Similarity with Context-sensitive Autoencoders
Hadi Amiri
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Philip Resnik
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Jordan Boyd-Graber
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Hal Daumé III
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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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A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines
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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MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering?
Francisco Guzmán
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Preslav Nakov
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Lluís Màrquez
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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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Learning Semantic Relatedness in Community Question Answering Using Neural Models
Henry Nassif
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Mitra Mohtarami
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James Glass
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Discriminating between Similar Languages with Word-level Convolutional Neural Networks
Marcelo Criscuolo
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Sandra Maria Aluísio
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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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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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No URLs Found
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Semantic Parsing
Semantic Similarity
Information Retrieval
Sentiment Analysis
Question Answering
Machine Translation
Language
English
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