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» Extracting Relations from XML Documents
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AAAI
2006
13 years 9 months ago
Novel Relationship Discovery Using Opinions Mined from the Web
This paper proposes relationship discovery models using opinions mined from the Web instead of only conventional collocations. Web opinion mining extracts subjective information f...
Lun-Wei Ku, Hsiu-Wei Ho, Hsin-Hsi Chen
AI
1998
Springer
13 years 8 months ago
Translingual Information Retrieval: Learning from Bilingual Corpora
Translingual information retrieval (TLIR) consists of providing a query in one language and searching document collections in one or more di erent languages. This paper introduces...
Yiming Yang, Jaime G. Carbonell, Ralf D. Brown, Ro...
EMNLP
2009
13 years 6 months ago
Hypernym Discovery Based on Distributional Similarity and Hierarchical Structures
This paper presents a new method of developing a large-scale hyponymy relation database by combining Wikipedia and other Web documents. We attach new words to the hyponymy databas...
Ichiro Yamada, Kentaro Torisawa, Jun'ichi Kazama, ...
LREC
2010
199views Education» more  LREC 2010»
13 years 10 months ago
Building a Cross-lingual Relatedness Thesaurus using a Graph Similarity Measure
The Internet is an ever growing source of information stored in documents of different languages. Hence, cross-lingual resources are needed for more and more NLP applications. Thi...
Lukas Michelbacher, Florian Laws, Beate Dorow, Ulr...
SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
14 years 5 months ago
Multi-topic Based Query-Oriented Summarization.
Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. It is very useful to help users grasp the main information rel...
Dewei Chen, Jie Tang, Limin Yao