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CLEF
2011
Springer
12 years 7 months ago
A Language-Independent Approach to Identify the Named Entities in Under-Resourced Languages and Clustering Multilingual Document
Abstract. This paper presents a language-independent Multilingual Document Clustering (MDC) approach on comparable corpora. Named entites (NEs) such as persons, locations, organiza...
N. Kiran Kumar, G. S. K. Santosh, Vasudeva Varma
WWW
2010
ACM
14 years 2 months ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft
CIKM
2007
Springer
14 years 1 months ago
Generalizing from relevance feedback using named entity wildcards
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
Abhimanyu Lad, Yiming Yang
ITNG
2006
IEEE
14 years 1 months ago
Biomedical Term Disambiguation: An Application to Gene-Protein Name Disambiguation
The huge volumes of biomedical texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information. ...
Hisham Al-Mubaid, Ping Chen
ACL
1997
13 years 8 months ago
Automatic Extraction of Aspectual Information from a Monolingual Corpus
This paper describes an approach to extract the aspectual information of Japanese verb phrases from a monolingual corpus. We classify Verbs into six categories by means of the asp...
Akira Oishi, Yuji Matsumoto