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ICASSP
2010
IEEE
14 years 6 months ago
Unsupervised knowledge acquisition for Extracting Named Entities from speech
This paper presents a Named Entity Recognition (NER) method dedicated to process speech transcriptions. The main principle behind this method is to collect in an unsupervised way ...
Frédéric Béchet, Eric Charton
SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
16 years 14 hour ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
ACTAC
2008
145views more  ACTAC 2008»
14 years 12 months ago
Sentence Alignment of Hungarian-English Parallel Corpora Using a Hybrid Algorithm
We present an ecient hybrid method for aligning sentences with their translations in a parallel bilingual corpus. The new algorithm is composed of a length-based and anchor matchi...
Krisztina Tóth, Richárd Farkas, Andr...
IJCAI
2007
15 years 1 months ago
Locating Complex Named Entities in Web Text
Named Entity Recognition (NER) is the task of locating and classifying names in text. In previous work, NER was limited to a small number of predefined entity classes (e.g., peop...
Doug Downey, Matthew Broadhead, Oren Etzioni
IBERAMIA
2004
Springer
15 years 5 months ago
Improving the Performance of a Named Entity Extractor by Applying a Stacking Scheme
Abstract. In this paper we investigate the way of improving the performance of a Named Entity Extraction (NEE) system by applying machine learning techniques and corpus transformat...
José A. Troyano, Víctor J. Dí...