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Dependency Tree Based Sentence Compression
Katja Filippova
|
Michael Strube
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Paper Details:
Month: June
Year: 2008
Location: Salt Fork, Ohio, USA
Venue:
INLG |
WS |
SIG: SIGGEN
Citations
URL
Multi-Sentence Compression: Finding Shortest Paths in Word Graphs
Katja Filippova
|
A Monolingual Tree-based Translation Model for Sentence Simplification
Zhemin Zhu
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Delphine Bernhard
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Iryna Gurevych
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Learning to Summarise Related Sentences
Emmanouil Tzouridis
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Jamal Nasir
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Ulf Brefeld
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Building RDF Content for Data-to-Text Generation
Laura Perez-Beltrachini
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Rania Sayed
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Claire Gardent
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Dynamic Multi-Level Multi-Task Learning for Sentence Simplification
Han Guo
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Ramakanth Pasunuru
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Mohit Bansal
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Generating Aspect-oriented Multi-Document Summarization with Event-aspect model
Peng Li
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Yinglin Wang
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Wei Gao
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Jing Jiang
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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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Single-Document Summarization as a Tree Knapsack Problem
Tsutomu Hirao
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Yasuhisa Yoshida
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Masaaki Nishino
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Norihito Yasuda
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Masaaki Nagata
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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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A Theme-Rewriting Approach for Generating Algebra Word Problems
Rik Koncel-Kedziorski
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Ioannis Konstas
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Luke Zettlemoyer
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Hannaneh Hajishirzi
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Split and Rephrase
Shashi Narayan
|
Claire Gardent
|
Shay B. Cohen
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Anastasia Shimorina
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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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Phrasal Substitution of Idiomatic Expressions
Changsheng Liu
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Rebecca Hwa
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Generalizing Image Captions for Image-Text Parallel Corpus
Polina Kuznetsova
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Vicente Ordonez
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Alexander Berg
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Tamara Berg
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Yejin Choi
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Hybrid Simplification using Deep Semantics and Machine Translation
Shashi Narayan
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Claire Gardent
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Approximation Strategies for Multi-Structure Sentence Compression
Kapil Thadani
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Single Document Summarization based on Nested Tree Structure
Yuta Kikuchi
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Tsutomu Hirao
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Hiroya Takamura
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Manabu Okumura
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Masaaki Nagata
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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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Text Simplification as Tree Labeling
Joachim Bingel
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Anders Søgaard
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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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Problems in Current Text Simplification Research: New Data Can Help
Wei Xu
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Chris Callison-Burch
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Courtney Napoles
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Towards Strict Sentence Intersection: Decoding and Evaluation Strategies
Kapil Thadani
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Kathleen McKeown
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Paraphrastic Sentence Compression with a Character-based Metric: Tightening without Deletion
Courtney Napoles
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Chris Callison-Burch
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Juri Ganitkevitch
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Benjamin Van Durme
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Generating Elliptic Coordination
Claire Gardent
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Shashi Narayan
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Sentence Compression with Joint Structural Inference
Kapil Thadani
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Kathleen McKeown
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Sentence Compression For Automatic Subtitling
Juhani Luotolahti
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Filip Ginter
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Empirical comparison of dependency conversions for RST discourse trees
Katsuhiko Hayashi
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Tsutomu Hirao
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Masaaki Nagata
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Unsupervised Sentence Simplification Using Deep Semantics
Shashi Narayan
|
Claire Gardent
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Automatic Detection of Comma Splices
John Lee
|
Chak Yan Yeung
|
Martin Chodorow
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http://www.eml-research.de/nlp
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Field Of Study
Task
Summarization
Language
English
Dataset
News
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