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» Toward a Gold Standard for Extractive Text Summarization
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AI
2010
Springer
11 years 10 months ago
Toward a Gold Standard for Extractive Text Summarization
Abstract. Extractive text summarization is the process of selecting relevant sentences from a collection of documents, perhaps only a single document, and arranging such sentences ...
Alistair Kennedy, Stan Szpakowicz
NAACL
2003
11 years 6 months ago
Toward a Task-based Gold Standard for Evaluation of NP Chunks and Technical Terms
We propose a gold standard for evaluating two types of information extraction output -- noun phrase (NP) chunks (Abney 1991; Ramshaw and Marcus 1995) and technical terms (Justeson...
Nina Wacholder, Peng Song
LREC
2010
170views Education» more  LREC 2010»
11 years 6 months ago
Construction of Text Summarization Corpus for the Credibility of Information on the Web
Recently, the credibility of information on the Web has become an important issue. In addition to telling about content of source documents, indicating how to interpret the conten...
Masahiro Nakano, Hideyuki Shibuki, Rintaro Miyazak...
LREC
2008
102views Education» more  LREC 2008»
11 years 6 months ago
Measures for Term and Sentence Relevances: an Evaluation for German
Terms, term relevances, and sentence relevances are concepts that figure in many NLP applications, such as Text Summarization. These concepts are implemented in various ways, thou...
Heike Bieler, Stefanie Dipper
COLING
2010
11 years 5 days ago
Topic-Based Bengali Opinion Summarization
In this paper the development of an opinion summarization system that works on Bengali News corpus has been described. The system identifies the sentiment information in each docu...
Amitava Das, Sivaji Bandyopadhyay
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