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» Techniques for Recognizing Textual Entailment and Semantic E...
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SEMCO
2007
IEEE
14 years 8 days ago
Determining Modality and Factuality for Text Entailment
Recognizing textual entailment (TE) is a complex task involving knowledge from many different sources. One major source of information in this task is event factuality, since the ...
Roser Sauri, James Pustejovsky
DAWAK
2008
Springer
13 years 7 months ago
The Evaluation of Sentence Similarity Measures
The ability to accurately judge the similarity between natural language sentences is critical to the performance of several applications such as text mining, question answering, an...
Palakorn Achananuparp, Xiaohua Hu, Xiajiong Shen
IMCSIT
2010
13 years 3 months ago
Generation of First-Order Expressions from a Broad Coverage HPSG Grammar
This paper describes an application for computing first-order semantic representations of English texts. It is based on a combination of hybrid shallow-deep components arranged wit...
Ravi Coote, Andreas Wotzlaw
ACL
2009
13 years 3 months ago
Automatic Cost Estimation for Tree Edit Distance Using Particle Swarm Optimization
Recently, there is a growing interest in working with tree-structured data in different applications and domains such as computational biology and natural language processing. Mor...
Yashar Mehdad
VLDB
1994
ACM
127views Database» more  VLDB 1994»
13 years 10 months ago
Semantic Integration in Heterogeneous Databases Using Neural Networks
One important step in integrating heterogeneous databases is matching equivalent attributes: Determining which fields in two databasesrefer to the samedata. The meaning of informa...
Wen-Syan Li, Chris Clifton