Named Entity Extraction from Word Lattices

James Horlock, Simon King

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a method for named entity extraction from word lattices produced by a speech recogniser. Previous work by others on named entity extraction from speech has used either a manual transcript or 1-best recogniser output. We describe how a single Viterbi search can recover both the named entity sequence and the corresponding word sequence from a word lattice, and further that it is possible to trade off an increase in word error rate for improved named entity extraction.
Original languageEnglish
Title of host publicationEurospeech 2003 - Interspeech 2003
Subtitle of host publication8th European Conference on Speech Communication and Technology
PublisherInternational Speech Communication Association
Pages1265-1268
Number of pages4
ISBN (Print)ISSN: 1990-9772
Publication statusPublished - 1 Sept 2003

Fingerprint

Dive into the research topics of 'Named Entity Extraction from Word Lattices'. Together they form a unique fingerprint.

Cite this