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Towards Coherent Multi-Document Summarization
Janara Christensen
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Mausam
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Stephen Soderland
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Oren Etzioni
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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia
Venue:
NAACL |
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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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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Analyzing Stemming Approaches for Turkish Multi-Document Summarization
Muhammed Yavuz Nuzumlalı
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Arzucan Özgür
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Generating Coherent Summaries of Scientific Articles Using Coherence Patterns
Daraksha Parveen
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Mohsen Mesgar
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Michael Strube
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Porting an Open Information Extraction System from English to German
Tobias Falke
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Gabriel Stanovsky
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Iryna Gurevych
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Ido Dagan
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Facts That Matter
Marco Ponza
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Luciano Del Corro
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Gerhard Weikum
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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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MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models
Sheng Zhang
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Kevin Duh
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Benjamin Van Durme
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CODRA: A Novel Discriminative Framework for Rhetorical Analysis
Shafiq Joty
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Giuseppe Carenini
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Raymond T. Ng
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Graph-based Neural Multi-Document Summarization
Michihiro Yasunaga
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Rui Zhang
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Kshitijh Meelu
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Ayush Pareek
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Krishnan Srinivasan
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Dragomir Radev
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LQVSumm: A Corpus of Linguistic Quality Violations in Multi-Document Summarization
Annemarie Friedrich
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Marina Valeeva
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Alexis Palmer
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Extractive Summarization under Strict Length Constraints
Yashar Mehdad
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Amanda Stent
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Kapil Thadani
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Dragomir Radev
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Youssef Billawala
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Karolina Buchner
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Hierarchical Summarization: Scaling Up Multi-Document Summarization
Janara Christensen
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Stephen Soderland
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Gagan Bansal
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Mausam
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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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Open IE as an Intermediate Structure for Semantic Tasks
Gabriel Stanovsky
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Ido Dagan
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Mausam
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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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Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach
Luís Marujo
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Ricardo Ribeiro
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David Martins de Matos
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João Neto
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Anatole Gershman
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Jaime Carbonell
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Content Selection for Real-time Sports News Construction from Commentary Texts
Jin-ge Yao
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Jianmin Zhang
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Xiaojun Wan
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Jianguo Xiao
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Using Rhetorical Topics for Automatic Summarization
Natalie M. Schrimpf
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http://knowitall.cs.washington.edu/gflow/
http://ollie.cs.washington.edu
http://duc.nist.gov/duc2004/quality.questions.txt
Field Of Study
Linguistic Trends
Discourse
Task
Summarization
Language
English
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