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157
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ACL
2010
15 years 2 months ago
A Hybrid Hierarchical Model for Multi-Document Summarization
Scoring sentences in documents given abstract summaries created by humans is important in extractive multi-document summarization. In this paper, we formulate extractive summariza...
Asli Çelikyilmaz, Dilek Hakkani-Tur
JASIS
2006
96views more  JASIS 2006»
15 years 4 months ago
Learning to classify documents according to genre
Genre or style analysis can be used to improve results achieved using standard IR techniques. A genre class is a group of documents that are written in a similar style. Genre clas...
Aidan Finn, Nicholas Kushmerick
ECIR
2006
Springer
15 years 5 months ago
Phrase Clustering Without Document Context
Abstract. We applied different clustering algorithms to the task of clustering multi-word terms in order to reflect a humanly built ontology. Clustering was done without the usual ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan
153
Voted
ACL
2011
14 years 7 months ago
Can Document Selection Help Semi-supervised Learning? A Case Study On Event Extraction
Annotating training data for event extraction is tedious and labor-intensive. Most current event extraction tasks rely on hundreds of annotated documents, but this is often not en...
Shasha Liao, Ralph Grishman
131
Voted
NAACL
2010
15 years 1 months ago
Language Identification: The Long and the Short of the Matter
Language identification is the task of identifying the language a given document is written in. This paper describes a detailed examination of what models perform best under diffe...
Timothy Baldwin, Marco Lui