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Abstractive News Summarization based on Event Semantic Link Network
Wei Li
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Lei He
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Hai Zhuge
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Paper Details:
Month: December
Year: 2016
Location: Osaka, Japan
Venue:
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Citations
URL
Extractive Summarization Using Multi-Task Learning with Document Classification
Masaru Isonuma
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Toru Fujino
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Junichiro Mori
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Yutaka Matsuo
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Ichiro Sakata
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Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps
Tobias Falke
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Iryna Gurevych
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Interactive Abstractive Summarization for Event News Tweets
Ori Shapira
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Hadar Ronen
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Meni Adler
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Yael Amsterdamer
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Judit Bar-Ilan
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Ido Dagan
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Concept-Map-Based Multi-Document Summarization using Concept Coreference Resolution and Global Importance Optimization
Tobias Falke
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Christian M. Meyer
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Iryna Gurevych
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http://brat.nlplab.org
Field Of Study
Linguistic Trends
Discourse
Syntax
Task
Textual Entailment
Semantic Similarity
Information Extraction
Information Retrieval
Event Detection
Summarization
Approach
Deep Learning
Structured Prediction
Language
English
Dataset
News
Twitter
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