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Overcoming the Lack of Parallel Data in Sentence Compression
Katja Filippova
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Yasemin Altun
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Paper Details:
Month: October
Year: 2013
Location: Seattle, Washington, USA
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Learning to Generate Coherent Summary with Discriminative Hidden Semi-Markov Model
Hitoshi Nishikawa
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Kazuho Arita
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Katsumi Tanaka
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Tsutomu Hirao
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Toshiro Makino
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Yoshihiro Matsuo
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Parallel Sentence Compression
Julia Ive
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François Yvon
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Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees
Chen Li
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Yang Liu
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Fei Liu
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Lin Zhao
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Fuliang Weng
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Joint Decoding of Tree Transduction Models for Sentence Compression
Jin-ge Yao
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Xiaojun Wan
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Jianguo Xiao
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A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush
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Sumit Chopra
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Jason Weston
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A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs
Kristina Toutanova
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Chris Brockett
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Ke M. Tran
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Saleema Amershi
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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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Sentence Compression for Arbitrary Languages via Multilingual Pivoting
Jonathan Mallinson
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Rico Sennrich
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Mirella Lapata
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A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation
Jingjing Xu
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Xuancheng Ren
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Yi Zhang
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Qi Zeng
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Xiaoyan Cai
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Xu Sun
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Crowd-Sourced Iterative Annotation for Narrative Summarization Corpora
Jessica Ouyang
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Serina Chang
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Kathy McKeown
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Identifying beneficial task relations for multi-task learning in deep neural networks
Joachim Bingel
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Anders Søgaard
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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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A Repository of Corpora for Summarization
Franck Dernoncourt
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Mohammad Ghassemi
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Walter Chang
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SumeCzech: Large Czech News-Based Summarization Dataset
Milan Straka
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Nikita Mediankin
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Tom Kocmi
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Zdeněk Žabokrtský
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Vojtěch Hudeček
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Jan Hajič
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A Dynamic Programming Algorithm for Tree Trimming-based Text Summarization
Masaaki Nishino
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Norihito Yasuda
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Tsutomu Hirao
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Shin-ichi Minato
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Masaaki Nagata
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Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
Sumit Chopra
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Michael Auli
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Alexander M. Rush
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Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies
Max Grusky
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Mor Naaman
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Yoav Artzi
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Relational Summarization for Corpus Analysis
Abram Handler
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Brendan O’Connor
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Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summarization
Daniele Pighin
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Marco Cornolti
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Enrique Alfonseca
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Katja Filippova
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Approximation Strategies for Multi-Structure Sentence Compression
Kapil Thadani
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Using Tweets to Help Sentence Compression for News Highlights Generation
Zhongyu Wei
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Yang Liu
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Chen Li
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Wei Gao
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Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains
Liangguo Wang
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Jing Jiang
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Hai Leong Chieu
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Chen Hui Ong
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Dandan Song
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Lejian Liao
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Oracle Summaries of Compressive Summarization
Tsutomu Hirao
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Masaaki Nishino
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Masaaki Nagata
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Japanese Sentence Compression with a Large Training Dataset
Shun Hasegawa
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Yuta Kikuchi
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Hiroya Takamura
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Manabu Okumura
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A Language Model based Evaluator for Sentence Compression
Yang Zhao
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Zhiyuan Luo
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Akiko Aizawa
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TreeTalk: Composition and Compression of Trees for Image Descriptions
Polina Kuznetsova
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Vicente Ordonez
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Tamara L. Berg
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Yejin Choi
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http://news.google.com
http://www.nist.gov/tac/
Field Of Study
Task
Paraphrasing
Approach
Structured Prediction
Language
English
Dataset
News
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