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COLING
1990
13 years 11 months ago
Information Extraction and Semantic Constraints
We consider the problem of extracting specified types of information from natural language text. To properly analyze the text, we wish to apply semantic (selectional) constraints ...
Ralph Grishman, John Sterling
WSDM
2009
ACM
138views Data Mining» more  WSDM 2009»
14 years 4 months ago
Adaptive subjective triggers for opinionated document retrieval
This paper proposes a novel application of a statistical language model to opinionated document retrieval targeting weblogs (blogs). In particular, we explore the use of the trigg...
Kazuhiro Seki, Kuniaki Uehara
IWRIDL
2006
ACM
141views Education» more  IWRIDL 2006»
14 years 3 months ago
Shallow syntax analysis in Sanskrit guided by semantic nets constraints
We present the state of the art of a computational platform for the analysis of classical Sanskrit. The platform comprises modules for phonology, morphology, segmentation and shal...
Gérard P. Huet
CIVR
2008
Springer
220views Image Analysis» more  CIVR 2008»
13 years 11 months ago
Web-based information content and its application to concept-based video retrieval
Semantic similarity between words or phrases is frequently used to find matching correlations between search queries and documents when straightforward matching of terms fails. Th...
Alexander Haubold, Apostol Natsev
SIGIR
2008
ACM
13 years 10 months ago
Enhancing text clustering by leveraging Wikipedia semantics
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua L...