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Improving summarization through rhetorical parsing tuning
Daniel Marcu
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Paper Details:
Year: 1998
Venue:
VLC |
WS |
SIG: SIGDAT
Citations
URL
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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A Discourse-Driven Content Model for Summarising Scientific Articles Evaluated in a Complex Question Answering Task
Maria Liakata
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Simon Dobnik
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Shyamasree Saha
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Colin Batchelor
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Dietrich Rebholz-Schuhmann
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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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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
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The utility of parse-derived features for automatic discourse segmentation
Seeger Fisher
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Brian Roark
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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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The Use of Granularity in Rhetorical Relation Prediction
Blake Howald
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Martha Abramson
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The Exploitation of Spatial Information in Narrative Discourse
Blake Stephen Howald
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E. Graham Katz
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AUTOMATED TEXT SUMMARIZATION AND THE SUMMARIST SYSTEM
Eduard Hovy
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Chin-Yew Lin
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No URLs Found
Field Of Study
Linguistic Trends
Discourse
Task
Discourse Parsing
Semantic Similarity
Summarization
Language
English
Dataset
News
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