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A Noisy-Channel Model for Document Compression
Hal Daume III
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Daniel Marcu
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Paper Details:
Month: July
Year: 2002
Location: Philadelphia, Pennsylvania, USA
Venue:
ACL |
Citations
URL
Sentence Compression Beyond Word Deletion
Trevor Cohn
|
Mirella Lapata
|
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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Exploring Text Links for Coherent Multi-Document Summarization
Xun Wang
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Masaaki Nishino
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Tsutomu Hirao
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Katsuhito Sudoh
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Masaaki Nagata
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Multi-view and multi-task training of RST discourse parsers
Chloé Braud
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Barbara Plank
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Anders Søgaard
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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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Seed and Grow: Augmenting Statistically Generated Summary Sentences using Schematic Word Patterns
Stephen Wan
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Robert Dale
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Mark Dras
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Cécile Paris
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Title Generation with Quasi-Synchronous Grammar
Kristian Woodsend
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Yansong Feng
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Mirella Lapata
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Single-Document Summarization as a Tree Knapsack Problem
Tsutomu Hirao
|
Yasuhisa Yoshida
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Masaaki Nishino
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Norihito Yasuda
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Masaaki Nagata
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Dependency-based Discourse Parser for Single-Document Summarization
Yasuhisa Yoshida
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Jun Suzuki
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Tsutomu Hirao
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Masaaki Nagata
|
A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush
|
Sumit Chopra
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Jason Weston
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Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
Logan Lebanoff
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Kaiqiang Song
|
Fei Liu
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Cross-lingual RST Discourse Parsing
Chloé Braud
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Maximin Coavoux
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Anders Søgaard
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Induction of Word and Phrase Alignments for Automatic Document Summarization
Hal Daumé III
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Daniel Marcu
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The Noisy Channel Model for Unsupervised Word Sense Disambiguation
Deniz Yuret
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Mehmet Ali Yatbaz
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Discourse Constraints for Document Compression
James Clarke
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Mirella Lapata
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Information Status Distinctions and Referring Expressions: An Empirical Study of References to People in News Summaries
Advaith Siddharthan
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Ani Nenkova
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Kathleen McKeown
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Speed and Accuracy in Shallow and Deep Stochastic Parsing
Ron Kaplan
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Stefan Riezler
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Tracy H. King
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John T. Maxwell III
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Alex Vasserman
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Richard Crouch
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Time-Efficient Creation of an Accurate Sentence Fusion Corpus
Kathleen McKeown
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Sara Rosenthal
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Kapil Thadani
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Coleman Moore
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Automatic Generation of Story Highlights
Kristian Woodsend
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Mirella Lapata
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Improving Text Simplification Language Modeling Using Unsimplified Text Data
David Kauchak
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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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Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints
Greg Durrett
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Taylor Berg-Kirkpatrick
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Dan Klein
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Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis
Stefanos Angelidis
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Mirella Lapata
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Generic Sentence Fusion is an Ill-Defined Summarization Task
Hal Daume III
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Daniel Marcu
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A Phrase-Based HMM Approach to Document/Abstract Alignment
Hal Daumé III
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Daniel Marcu
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Summarization with a Joint Model for Sentence Extraction and Compression
André Martins
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Noah A. Smith
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Evaluating Sentence Compression: Pitfalls and Suggested Remedies
Courtney Napoles
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Benjamin Van Durme
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Chris Callison-Burch
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Sentence Compression with Joint Structural Inference
Kapil Thadani
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Kathleen McKeown
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The Role of Discourse Units in Near-Extractive Summarization
Junyi Jessy Li
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Kapil Thadani
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Amanda Stent
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No URLs Found
Field Of Study
Linguistic Trends
Discourse
Syntax
Task
Summarization
Language
English
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