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» Fine-Grained Entity Recognition
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WWW
2009
ACM
15 years 6 months ago
StatSnowball: a statistical approach to extracting entity relationships
Traditional relation extraction methods require pre-specified relations and relation-specific human-tagged examples. Bootstrapping systems significantly reduce the number of tr...
Jun Zhu, Zaiqing Nie, Xiaojiang Liu, Bo Zhang, Ji-...
TREC
2001
15 years 1 months ago
NTT Question Answering System in TREC 2001
In this report, we describe our question-answering system SAIQA-e (System for Advanced Interactive Question Answering in English) which ran the main task of TREC-10's QA-trac...
Hideto Kazawa, Hideki Isozaki, Eisaku Maeda
CORR
2006
Springer
225views Education» more  CORR 2006»
14 years 12 months ago
Building and displaying name relations using automatic unsupervised analysis of newspaper articles
We present a tool that, from automatically recognised names, tries to infer inter-person relations in order to present associated people on maps. Based on an in-house Named Entity...
Bruno Pouliquen, Ralf Steinberger, Camelia Ignat, ...
INLG
2010
Springer
14 years 9 months ago
Poly-co: An Unsupervised Co-reference Detection System
We describe our contribution to the Generation Challenge 2010 for the tasks of Named Entity Recognition and coreference detection (GREC-NER). To extract the NE and the referring e...
Eric Charton, Michel Gagnon, Benoît Ozell
ACL
2003
15 years 1 months ago
tRuEcasIng
Truecasing is the process of restoring case information to badly-cased or noncased text. This paper explores truecasing issues and proposes a statistical, language modeling based ...
Lucian Vlad Lita, Abraham Ittycheriah, Salim Rouko...