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ERCIMDL
2003
Springer
109views Education» more  ERCIMDL 2003»
14 years 28 days ago
Clustering Top-Ranking Sentences for Information Access
Abstract. In this paper we propose the clustering of top-ranking sentences (TRS) for effective information access. Top-ranking sentences are selected by a query-biased sentence ex...
Anastasios Tombros, Joemon M. Jose, Ian Ruthven
NAACL
2010
13 years 5 months ago
Good Question! Statistical Ranking for Question Generation
We address the challenge of automatically generating questions from reading materials for educational practice and assessment. Our approach is to overgenerate questions, then rank...
Michael Heilman, Noah A. Smith
TREC
2003
13 years 9 months ago
Use of Metadata for Question Answering and Novelty Tasks
CL Research’s question-answering system for TREC 2003 was modified away from reliance on database technology to the core underlying technology of using massive XML-tagging for p...
Kenneth C. Litkowski
ACL
2009
13 years 5 months ago
A Beam-Search Extraction Algorithm for Comparable Data
This paper extends previous work on extracting parallel sentence pairs from comparable data (Munteanu and Marcu, 2005). For a given source sentence S, a maximum entropy (ME) class...
Christoph Tillmann
ACL
2003
13 years 9 months ago
Extraction and Verification of KO-OU Expressions from Large Corpora
In the Japanese language, as a predicate is placed at the end of a sentence, the content of a sentence cannot be inferred until reaching the end. However, when the content is comp...
Atsuko Kida, Eiko Yamamoto, Kyoko Kanzaki, Hitoshi...