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Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu
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Zhengdong Lu
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Hang Li
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Victor O.K. Li
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks
Carsten Schnober
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Steffen Eger
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Erik-Lân Do Dinh
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Iryna Gurevych
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Neural Transition-based String Transduction for Limited-Resource Setting in Morphology
Peter Makarov
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Simon Clematide
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Point Precisely: Towards Ensuring the Precision of Data in Generated Texts Using Delayed Copy Mechanism
Liunian Li
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Xiaojun Wan
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Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization
Haoran Li
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Junnan Zhu
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Jiajun Zhang
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Chengqing Zong
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Structure-Infused Copy Mechanisms for Abstractive Summarization
Kaiqiang Song
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Lin Zhao
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Fei Liu
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Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation
Haoyang Wen
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Yijia Liu
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Wanxiang Che
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Libo Qin
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Ting Liu
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Controlling Output Length in Neural Encoder-Decoders
Yuta Kikuchi
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Graham Neubig
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Ryohei Sasano
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Hiroya Takamura
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Manabu Okumura
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Incorporating Discrete Translation Lexicons into Neural Machine Translation
Philip Arthur
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Graham Neubig
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Satoshi Nakamura
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Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
David Golub
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Po-Sen Huang
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Xiaodong He
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Li Deng
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Neural Sequence Learning Models for Word Sense Disambiguation
Alessandro Raganato
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Claudio Delli Bovi
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Roberto Navigli
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Reference-Aware Language Models
Zichao Yang
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Phil Blunsom
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Chris Dyer
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Wang Ling
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Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization
Piji Li
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Wai Lam
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Lidong Bing
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Weiwei Guo
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Hang Li
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Deep Recurrent Generative Decoder for Abstractive Text Summarization
Piji Li
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Wai Lam
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Lidong Bing
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Zihao Wang
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Steering Output Style and Topic in Neural Response Generation
Di Wang
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Nebojsa Jojic
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Chris Brockett
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Eric Nyberg
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Challenges in Data-to-Document Generation
Sam Wiseman
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Stuart Shieber
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Alexander Rush
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Learning To Split and Rephrase From Wikipedia Edit History
Jan A. Botha
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Manaal Faruqui
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John Alex
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Jason Baldridge
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Dipanjan Das
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On the Abstractiveness of Neural Document Summarization
Fangfang Zhang
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Jin-ge Yao
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Rui Yan
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Retrieval-Based Neural Code Generation
Shirley Anugrah Hayati
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Raphael Olivier
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Pravalika Avvaru
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Pengcheng Yin
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Anthony Tomasic
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Graham Neubig
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Question Generation from SQL Queries Improves Neural Semantic Parsing
Daya Guo
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Yibo Sun
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Duyu Tang
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Nan Duan
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Jian Yin
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Hong Chi
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James Cao
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Peng Chen
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Ming Zhou
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Mapping Language to Code in Programmatic Context
Srinivasan Iyer
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Ioannis Konstas
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Alvin Cheung
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Luke Zettlemoyer
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Interpretation of Natural Language Rules in Conversational Machine Reading
Marzieh Saeidi
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Max Bartolo
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Patrick Lewis
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Sameer Singh
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Tim Rocktäschel
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Mike Sheldon
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Guillaume Bouchard
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Sebastian Riedel
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Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain
Mingming Sun
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Xu Li
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Ping Li
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Context and Copying in Neural Machine Translation
Rebecca Knowles
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Philipp Koehn
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Learning Neural Templates for Text Generation
Sam Wiseman
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Stuart Shieber
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Alexander Rush
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Operation-guided Neural Networks for High Fidelity Data-To-Text Generation
Feng Nie
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Jinpeng Wang
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Jin-Ge Yao
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Rong Pan
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Chin-Yew Lin
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Incorporating Background Knowledge into Video Description Generation
Spencer Whitehead
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Heng Ji
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Mohit Bansal
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Shih-Fu Chang
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Clare Voss
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Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN
Jingqiang Chen
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Hai Zhuge
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Keyphrase Generation with Correlation Constraints
Jun Chen
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Xiaoming Zhang
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Yu Wu
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Zhao Yan
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Zhoujun Li
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Closed-Book Training to Improve Summarization Encoder Memory
Yichen Jiang
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Mohit Bansal
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Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
Logan Lebanoff
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Kaiqiang Song
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Fei Liu
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Language Modeling with Sparse Product of Sememe Experts
Yihong Gu
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Jun Yan
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Hao Zhu
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Zhiyuan Liu
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Ruobing Xie
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Maosong Sun
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Fen Lin
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Leyu Lin
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A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse
Sosuke Kobayashi
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Naoaki Okazaki
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Kentaro Inui
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Summarizing Lengthy Questions
Tatsuya Ishigaki
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Hiroya Takamura
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Manabu Okumura
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Multilingual Semantic Parsing And Code-Switching
Long Duong
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Hadi Afshar
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Dominique Estival
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Glen Pink
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Philip Cohen
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Mark Johnson
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Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection
Peter Makarov
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Tatiana Ruzsics
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Simon Clematide
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Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit
Amrith Krishna
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Bodhisattwa P. Majumder
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Rajesh Bhat
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Pawan Goyal
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NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System
Xi Victoria Lin
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Chenglong Wang
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Luke Zettlemoyer
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Michael D. Ernst
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Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation
Shuming Ma
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Xu Sun
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Wei Li
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Sujian Li
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Wenjie Li
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Xuancheng Ren
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Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types
Hady Elsahar
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Christophe Gravier
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Frederique Laforest
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Improving Lexical Choice in Neural Machine Translation
Toan Nguyen
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David Chiang
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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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Leveraging Context Information for Natural Question Generation
Linfeng Song
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Zhiguo Wang
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Wael Hamza
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Yue Zhang
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Daniel Gildea
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Data Recombination for Neural Semantic Parsing
Robin Jia
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Percy Liang
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Neural Summarization by Extracting Sentences and Words
Jianpeng Cheng
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Mirella Lapata
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Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning
Shizhu He
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Cao Liu
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Kang Liu
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Jun Zhao
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A Syntactic Neural Model for General-Purpose Code Generation
Pengcheng Yin
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Graham Neubig
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Selective Encoding for Abstractive Sentence Summarization
Qingyu Zhou
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Nan Yang
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Furu Wei
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Ming Zhou
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Learning to Generate Market Comments from Stock Prices
Soichiro Murakami
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Akihiko Watanabe
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Akira Miyazawa
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Keiichi Goshima
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Toshihiko Yanase
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Hiroya Takamura
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Yusuke Miyao
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Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization
Shuming Ma
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Xu Sun
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Jingjing Xu
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Houfeng Wang
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Wenjie Li
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Qi Su
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A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss
Wan-Ting Hsu
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Chieh-Kai Lin
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Ming-Ying Lee
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Kerui Min
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Jing Tang
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Min Sun
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Using Intermediate Representations to Solve Math Word Problems
Danqing Huang
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Jin-Ge Yao
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Chin-Yew Lin
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Qingyu Zhou
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Jian Yin
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Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism
Xiangrong Zeng
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Daojian Zeng
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Shizhu He
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Kang Liu
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Jun Zhao
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Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
Yen-Chun Chen
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Mohit Bansal
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Coarse-to-Fine Decoding for Neural Semantic Parsing
Li Dong
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Mirella Lapata
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StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
Pengcheng Yin
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Chunting Zhou
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Junxian He
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Graham Neubig
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Learning to Control the Specificity in Neural Response Generation
Ruqing Zhang
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Jiafeng Guo
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Yixing Fan
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Yanyan Lan
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Jun Xu
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Xueqi Cheng
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Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures
Wenqiang Lei
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Xisen Jin
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Min-Yen Kan
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Zhaochun Ren
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Xiangnan He
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Dawei Yin
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An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking
Puyang Xu
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Qi Hu
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Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
Andrea Madotto
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Chien-Sheng Wu
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Pascale Fung
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A Graph-to-Sequence Model for AMR-to-Text Generation
Linfeng Song
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Yue Zhang
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Zhiguo Wang
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Daniel Gildea
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Global Encoding for Abstractive Summarization
Junyang Lin
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Xu Sun
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Shuming Ma
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Qi Su
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Paper Abstract Writing through Editing Mechanism
Qingyun Wang
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Zhihao Zhou
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Lifu Huang
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Spencer Whitehead
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Boliang Zhang
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Heng Ji
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Kevin Knight
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Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations
Jianmo Ni
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Julian McAuley
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Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
Shuming Ma
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Xu Sun
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Junyang Lin
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Houfeng Wang
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DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data
Hang Yang
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Yubo Chen
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Kang Liu
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Yang Xiao
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Jun Zhao
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Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics
Martin Boyanov
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Preslav Nakov
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Alessandro Moschitti
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Giovanni Da San Martino
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Ivan Koychev
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Japanese Text Normalization with Encoder-Decoder Model
Taishi Ikeda
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Hiroyuki Shindo
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Yuji Matsumoto
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A surprisingly effective out-of-the-box char2char model on the E2E NLG Challenge dataset
Shubham Agarwal
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Marc Dymetman
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Document-Level Adaptation for Neural Machine Translation
Sachith Sri Ram Kothur
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Rebecca Knowles
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Philipp Koehn
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A Sequence-to-Sequence Model for Semantic Role Labeling
Angel Daza
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Anette Frank
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Describing a Knowledge Base
Qingyun Wang
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Xiaoman Pan
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Lifu Huang
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Boliang Zhang
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Zhiying Jiang
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Heng Ji
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Kevin Knight
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Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity
Glorianna Jagfeld
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Sabrina Jenne
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Ngoc Thang Vu
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Handling Rare Items in Data-to-Text Generation
Anastasia Shimorina
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Claire Gardent
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