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» Using Corpus-derived Name Lists for Named Entity Recognition
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ACL
2008
13 years 9 months ago
Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar
INTERSPEECH
2010
13 years 2 months ago
A spoken term detection framework for recovering out-of-vocabulary words using the web
Vocabulary restrictions in large vocabulary continuous speech recognition (LVCSR) systems mean that out-of-vocabulary (OOV) words are lost in the output. However, OOV words tend t...
Carolina Parada, Abhinav Sethy, Mark Dredze, Frede...
ACL
2003
13 years 9 months ago
Improved Source-Channel Models for Chinese Word Segmentation
This paper presents a Chinese word segmentation system that uses improved sourcechannel models of Chinese sentence generation. Chinese words are defined as one of the following fo...
Jianfeng Gao, Mu Li, Changning Huang
EACL
2006
ACL Anthology
13 years 9 months ago
Weakly Supervised Approaches for Ontology Population
We present a weakly supervised approach to automatic Ontology Population from text and compare it with other two unsupervised approaches. In our experiments we populate a part of ...
Hristo Tanev, Bernardo Magnini
BMCBI
2005
102views more  BMCBI 2005»
13 years 7 months ago
BioCreAtIvE Task1A: entity identification with a stochastic tagger
Background: Our approach to Task 1A was inspired by Tanabe and Wilbur's ABGene system [1,2]. Like Tanabe and Wilbur, we approached the problem as one of part-of-speech taggin...
Shuhei Kinoshita, K. Bretonnel Cohen, Philip V. Og...