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LREC
2010
145views Education» more  LREC 2010»
13 years 6 months ago
Combining Resources: Taxonomy Extraction from Multiple Dictionaries
The idea that dictionaries are a good source for (computational) information has been around for a long while, and the extraction of taxonomic information from them is something t...
Rogelio Nazar, Maarten Janssen
AIRS
2008
Springer
13 years 11 months ago
Using Multiple Combined Ranker for Answering Definitional Questions
This paper presents a Multiple Combined Ranker (MCR) approach for answering definitional questions. Generally, our MCR approach first extracts question target-related knowledge as ...
Junkuo Cao, Lide Wu, Xuanjing Huang, Yaqian Zhou, ...
ICIP
2001
IEEE
14 years 6 months ago
Similarity measure for CCITT Group 4 compressed document images
Similarity measure of document images acts a crucial role in the area of document image retrieval. A method of measuring the similarity of CCITT Group 4 compressed document images...
Yue Lu, Chew Lim Tan, Liying Fan, Weihua Huang
FINTAL
2006
13 years 8 months ago
Ord i Dag: Mining Norwegian Daily Newswire
We present Ord i Dag, a new service that displays today's most important keywords. These are extracted fully automatically from Norwegian online newspapers. Describing the com...
Unni Cathrine Eiken, Anja Therese Liseth, Hans Fri...
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
13 years 10 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo