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What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
Hongyuan Mei
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Mohit Bansal
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Matthew R. Walter
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
Citations
URL
Imitation learning for language generation from unaligned data
Gerasimos Lampouras
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Andreas Vlachos
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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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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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Neural Text Generation from Structured Data with Application to the Biography Domain
Rémi Lebret
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David Grangier
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Michael Auli
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Conditional Generation and Snapshot Learning in Neural Dialogue Systems
Tsung-Hsien Wen
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Milica Gašić
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Nikola Mrkšić
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Lina M. Rojas-Barahona
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Pei-Hao Su
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Stefan Ultes
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David Vandyke
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Steve Young
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Hierarchically-Attentive RNN for Album Summarization and Storytelling
Licheng Yu
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Mohit Bansal
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Tamara Berg
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Video Highlight Prediction Using Audience Chat Reactions
Cheng-Yang Fu
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Joon Lee
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Mohit Bansal
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Alexander Berg
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Mapping Instructions and Visual Observations to Actions with Reinforcement Learning
Dipendra Misra
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John Langford
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Yoav Artzi
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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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Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction
Dipendra Misra
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Andrew Bennett
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Valts Blukis
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Eyvind Niklasson
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Max Shatkhin
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Yoav Artzi
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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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Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data
Guanghui Qin
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Jin-Ge Yao
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Xuening Wang
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Jinpeng Wang
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Chin-Yew Lin
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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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Unsupervised Natural Language Generation with Denoising Autoencoders
Markus Freitag
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Scott Roy
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Learning to Describe Differences Between Pairs of Similar Images
Harsh Jhamtani
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Taylor Berg-Kirkpatrick
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Simple Recurrent Units for Highly Parallelizable Recurrence
Tao Lei
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Yu Zhang
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Sida I. Wang
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Hui Dai
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Yoav Artzi
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Data2Text Studio: Automated Text Generation from Structured Data
Longxu Dou
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Guanghui Qin
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Jinpeng Wang
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Jin-Ge Yao
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Chin-Yew Lin
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Learning to Generate Product Reviews from Attributes
Li Dong
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Shaohan Huang
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Furu Wei
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Mirella Lapata
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Ming Zhou
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Ke Xu
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Learning to generate one-sentence biographies from Wikidata
Andrew Chisholm
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Will Radford
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Ben Hachey
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A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation
Juraj Juraska
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Panagiotis Karagiannis
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Kevin Bowden
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Marilyn Walker
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Bootstrapping Generators from Noisy Data
Laura Perez-Beltrachini
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Mirella Lapata
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What’s This Movie About? A Joint Neural Network Architecture for Movie Content Analysis
Philip John Gorinski
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Mirella Lapata
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A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization
Parag Jain
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Anirban Laha
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Karthik Sankaranarayanan
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Preksha Nema
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Mitesh M. Khapra
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Shreyas Shetty
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Multi-lingual neural title generation for e-Commerce browse pages
Prashant Mathur
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Nicola Ueffing
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Gregor Leusch
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Summarizing Source Code using a Neural Attention Model
Srinivasan Iyer
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Ioannis Konstas
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Alvin Cheung
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Luke Zettlemoyer
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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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Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings
He He
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Anusha Balakrishnan
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Mihail Eric
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Percy Liang
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Generating Fine-Grained Open Vocabulary Entity Type Descriptions
Rajarshi Bhowmik
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Gerard de Melo
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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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Probabilistic Verb Selection for Data-to-Text Generation
Dell Zhang
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Jiahao Yuan
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Xiaoling Wang
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Adam Foster
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The aNALoGuE Challenge: Non Aligned Language GEneration
Jekaterina Novikova
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Verena Rieser
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Generating titles for millions of browse pages on an e-Commerce site
Prashant Mathur
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Nicola Ueffing
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Gregor Leusch
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Coarse-to-Fine Attention Models for Document Summarization
Jeffrey Ling
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Alexander Rush
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Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators
Shereen Oraby
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Lena Reed
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Shubhangi Tandon
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Sharath T.S.
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Stephanie Lukin
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Marilyn Walker
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Deep Graph Convolutional Encoders for Structured Data to Text Generation
Diego Marcheggiani
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Laura Perez-Beltrachini
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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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Syntactic Manipulation for Generating more Diverse and Interesting Texts
Jan Milan Deriu
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Mark Cieliebak
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LSTM Hypertagging
Reid Fu
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Michael White
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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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Can Neural Generators for Dialogue Learn Sentence Planning and Discourse Structuring?
Lena Reed
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Shereen Oraby
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Marilyn Walker
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Neural sentence generation from formal semantics
Kana Manome
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Masashi Yoshikawa
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Hitomi Yanaka
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Pascual Martínez-Gómez
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Koji Mineshima
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Daisuke Bekki
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E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language
Henry Elder
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Sebastian Gehrmann
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Alexander O’Connor
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Qun Liu
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E2E NLG Challenge: Neural Models vs. Templates
Yevgeniy Puzikov
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Iryna Gurevych
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No URLs Found
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Parsing
Language Generation
Machine Translation
Approach
Deep Learning
Generative Model
Language
Multilingual
Dataset
Spoken Dialog
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