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» Toward a Gold Standard for Extractive Text Summarization
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SOCIALCOM
2010
13 years 2 months ago
Opinion Summarization in Bengali: A Theme Network Model
Theme network is a semantic network of document specific themes. So far Natural Language Processing (NLP) research patronized much of topic based summarizer system, unable to captu...
Amitava Das, Sivaji Bandyopadhyay
ANLP
2000
118views more  ANLP 2000»
13 years 6 months ago
A Novel Use of Statistical Parsing to Extract Information from Text
Since 1995, a few statistical parsing algorithms have demonstrated a breakthrough in parsing accuracy, as measured against the UPenn TREEBANK as a gold standard. In this paper we ...
Scott Miller, Heidi Fox, Lance A. Ramshaw, Ralph M...
EMNLP
2009
13 years 2 months ago
Toward Completeness in Concept Extraction and Classification
Many algorithms extract terms from text together with some kind of taxonomic classification (is-a) link. However, the general approaches used today, and specifically the methods o...
Eduard H. Hovy, Zornitsa Kozareva, Ellen Riloff
EACL
2003
ACL Anthology
13 years 6 months ago
Experiments on Candidate Data for Collocation Extraction
The paper describes ongoing work on the evaluation of methods for extracting collocation candidates from large text corpora. Our research is based on a German treebank corpus used...
Stefan Evert, Hannah Kermes
RIAO
2007
13 years 6 months ago
Extracting Useful Information from the Full Text of Fiction
In this paper, we describe some experiments in large-scale Information Extraction (IE) focusing on book texts. We investigate the scalability of IE techniques to full-sized books,...
Sharon Givon, Maria Milosavljevic