<--- Back to Details
First PageDocument Content
Natural language processing / Machine learning / Semantics / Named-entity recognition / Applied linguistics / Word-sense disambiguation / Latvian language / Conditional random field / Information extraction / Linguistics / Computational linguistics / Science
Date: 2012-05-16 13:54:34
Natural language processing
Machine learning
Semantics
Named-entity recognition
Applied linguistics
Word-sense disambiguation
Latvian language
Conditional random field
Information extraction
Linguistics
Computational linguistics
Science

Instructions for Preparing LREC 2006 Proceedings

Add to Reading List

Source URL: www.lrec-conf.org

Download Document from Source Website

File Size: 1,06 MB

Share Document on Facebook

Similar Documents

Optimising Selective Sampling for Bootstrapping Named Entity Recognition Markus Becker M . BECKER @ ED . AC . UK Ben Hachey BHACHEY @ INF. ED . AC . UK

DocID: 1vlRZ - View Document

Named Entity Recognition: A Literature Survey Rahul Sharnagat 11305R013 June 30, 2014

DocID: 1veQJ - View Document

arXiv:1701.09123v1 [cs.CL] 31 JanRobust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features∗† Rodrigo Agerri‡and German Rigau IXA NLP Group

DocID: 1v7UJ - View Document

The Web is not a PERSON, Berners-Lee is not an ORGANIZATION, and African-Americans are not LOCATIONS: An Analysis of the Performance of Named-Entity Recognition Robert Krovetz Lexical Research Hillsborough, NJ 08844

DocID: 1uZjv - View Document

Bootstrapping Named Entity Recognition with Automatically Generated Gazetteer Lists Zornitsa Kozareva Dept. de Lenguajes y Sistemas Inform´aticos University of Alicante Alicante, Spain

DocID: 1uP6q - View Document