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Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng
|
Li Dong
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Mirella Lapata
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence Classification Tasks
Anirban Laha
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Vikas Raykar
|
Learning to Search in Long Documents Using Document Structure
Mor Geva
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Jonathan Berant
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Neural Machine Translation with Decoding History Enhanced Attention
Mingxuan Wang
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Jun Xie
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Zhixing Tan
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Jinsong Su
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Deyi Xiong
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Chao Bian
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Enhancing Sentence Embedding with Generalized Pooling
Qian Chen
|
Zhen-Hua Ling
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Xiaodan Zhu
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Information Aggregation via Dynamic Routing for Sequence Encoding
Jingjing Gong
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Xipeng Qiu
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Shaojing Wang
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Xuanjing Huang
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Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model
Lu Ji
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Zhongyu Wei
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Xiangkun Hu
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Yang Liu
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Qi Zhang
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Xuanjing Huang
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Learning Visually-Grounded Semantics from Contrastive Adversarial Samples
Haoyue Shi
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Jiayuan Mao
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Tete Xiao
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Yuning Jiang
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Jian Sun
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Globally Coherent Text Generation with Neural Checklist Models
Chloé Kiddon
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Luke Zettlemoyer
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Yejin Choi
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VecShare: A Framework for Sharing Word Representation Vectors
Jared Fernandez
|
Zhaocheng Yu
|
Doug Downey
|
Reinforced Video Captioning with Entailment Rewards
Ramakanth Pasunuru
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Mohit Bansal
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Structured Alignment Networks for Matching Sentences
Yang Liu
|
Matt Gardner
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Mirella Lapata
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Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference
Yi Tay
|
Anh Tuan Luu
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Siu Cheung Hui
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Phrase-level Self-Attention Networks for Universal Sentence Encoding
Wei Wu
|
Houfeng Wang
|
Tianyu Liu
|
Shuming Ma
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Commonsense for Generative Multi-Hop Question Answering Tasks
Lisa Bauer
|
Yicheng Wang
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Mohit Bansal
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Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
Biao Zhang
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Deyi Xiong
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Jinsong Su
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Qian Lin
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Huiji Zhang
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Neural Tree Indexers for Text Understanding
Tsendsuren Munkhdalai
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Hong Yu
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Neural Semantic Encoders
Tsendsuren Munkhdalai
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Hong Yu
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Attentive Language Models
Giancarlo Salton
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Robert Ross
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John Kelleher
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SSAS: Semantic Similarity for Abstractive Summarization
Raghuram Vadapalli
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Litton J Kurisinkel
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Manish Gupta
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Vasudeva Varma
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Learning an Executable Neural Semantic Parser
Jianpeng Cheng
|
Siva Reddy
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Vijay Saraswat
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Mirella Lapata
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Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
Ramesh Nallapati
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Bowen Zhou
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Cicero dos Santos
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Çağlar Gu̇lçehre
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Bing Xiang
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Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering
Deepak Gupta
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Pabitra Lenka
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Asif Ekbal
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Pushpak Bhattacharyya
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Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment
Masatoshi Tsuchiya
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Self-Attentive Residual Decoder for Neural Machine Translation
Lesly Miculicich Werlen
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Nikolaos Pappas
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Dhananjay Ram
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Andrei Popescu-Belis
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On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference
Adam Poliak
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Yonatan Belinkov
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James Glass
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Benjamin Van Durme
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Gated Self-Matching Networks for Reading Comprehension and Question Answering
Wenhui Wang
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Nan Yang
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Furu Wei
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Baobao Chang
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Ming Zhou
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Enhanced LSTM for Natural Language Inference
Qian Chen
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Xiaodan Zhu
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Zhen-Hua Ling
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Si Wei
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Hui Jiang
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Diana Inkpen
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Global-Locally Self-Attentive Encoder for Dialogue State Tracking
Victor Zhong
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Caiming Xiong
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Richard Socher
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Neural Natural Language Inference Models Enhanced with External Knowledge
Qian Chen
|
Xiaodan Zhu
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Zhen-Hua Ling
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Diana Inkpen
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Si Wei
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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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Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum
Omer Levy
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Kenton Lee
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Nicholas FitzGerald
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Luke Zettlemoyer
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Cross-Target Stance Classification with Self-Attention Networks
Chang Xu
|
Cécile Paris
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Surya Nepal
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Ross Sparks
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Aspect-augmented Adversarial Networks for Domain Adaptation
Yuan Zhang
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Regina Barzilay
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Tommi Jaakkola
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Learning Structured Text Representations
Yang Liu
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Mirella Lapata
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Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms
Wenpeng Yin
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Hinrich Schütze
|
Joint Learning of Sentence Embeddings for Relevance and Entailment
Petr Baudiš
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Silvestr Stanko
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Jan Šedivý
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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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Character-level Intra Attention Network for Natural Language Inference
Han Yang
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Marta R. Costa-jussà
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José A. R. Fonollosa
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AllenNLP: A Deep Semantic Natural Language Processing Platform
Matt Gardner
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Joel Grus
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Mark Neumann
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Oyvind Tafjord
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Pradeep Dasigi
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Nelson F. Liu
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Matthew Peters
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Michael Schmitz
|
Luke Zettlemoyer
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Hierarchical Convolutional Attention Networks for Text Classification
Shang Gao
|
Arvind Ramanathan
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Georgia Tourassi
|
https://github.com/cheng6076/
Field Of Study
Linguistic Trends
Embeddings
Task
Textual Entailment
Relation Extraction
Machine Translation
Approach
Representation Learning
Language
English
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