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» Fine-Grained Geographical Relation Extraction from Wikipedia
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EMNLP
2010
13 years 5 months ago
Collective Cross-Document Relation Extraction Without Labelled Data
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
Limin Yao, Sebastian Riedel, Andrew McCallum
ACL
2010
13 years 5 months ago
Open Information Extraction Using Wikipedia
Information-extraction (IE) systems seek to distill semantic relations from naturallanguage text, but most systems use supervised learning of relation-specific examples and are th...
Fei Wu 0003, Daniel S. Weld
LREC
2010
176views Education» more  LREC 2010»
13 years 9 months ago
WikiNet: A Very Large Scale Multi-Lingual Concept Network
This paper describes a multi-lingual concept network obtained automatically by mining for concepts and relations and exploiting a variety of sources of knowledge from Wikipedia. C...
Vivi Nastase, Michael Strube, Benjamin Boerschinge...
CLEF
2006
Springer
13 years 11 months ago
GIR Experimentation
Geographic Information Retrieval (GIR) community has generally accepted the thesis that both thematic and geographic aspect of documents may be useful for GIR. This paper describe...
Geoffrey Andogah
VLDB
2007
ACM
144views Database» more  VLDB 2007»
14 years 1 months ago
A Relational Approach to Incrementally Extracting and Querying Structure in Unstructured Data
There is a growing consensus that it is desirable to query over the structure implicit in unstructured documents, and that ideally this capability should be provided incrementally...
Eric Chu, Akanksha Baid, Ting Chen, AnHai Doan, Je...