Named Entity Recognition from Speech: Approach and Results Using the TextPro System
D. Appelt, und D. Martin. Proc. DARPA Broadcast News Workshop, Seite 51-54. (1999)
Zusammenfassung
This paper describes the application of the TextPro system to the task of recognition of named entities in speech. TextPro is a lightweight engine for interpreting cascaded finite-state transducers. Although originally intended for processing text, the experience of this evaluation demonstrates the system can easily be adapted to processing transcripts generated by a speech recognizer as well.
%0 Conference Paper
%1 Appelt:1999
%A Appelt, Douglas E.
%A Martin, David
%B Proc. DARPA Broadcast News Workshop
%D 1999
%K cpsl dis entity extraction information recognition textpro
%P 51-54
%T Named Entity Recognition from Speech: Approach and Results Using the TextPro System
%U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.27.1116
%X This paper describes the application of the TextPro system to the task of recognition of named entities in speech. TextPro is a lightweight engine for interpreting cascaded finite-state transducers. Although originally intended for processing text, the experience of this evaluation demonstrates the system can easily be adapted to processing transcripts generated by a speech recognizer as well.
@inproceedings{Appelt:1999,
abstract = {This paper describes the application of the TextPro system to the task of recognition of named entities in speech. TextPro is a lightweight engine for interpreting cascaded finite-state transducers. Although originally intended for processing text, the experience of this evaluation demonstrates the system can easily be adapted to processing transcripts generated by a speech recognizer as well.},
added-at = {2013-07-19T12:22:40.000+0200},
author = {Appelt, Douglas E. and Martin, David},
biburl = {https://www.bibsonomy.org/bibtex/27857f37c15ea60c57e4efa148d3676a4/butonic},
booktitle = {Proc. DARPA Broadcast News Workshop},
interhash = {adf266da523aec48f25b393119b0aa02},
intrahash = {7857f37c15ea60c57e4efa148d3676a4},
keywords = {cpsl dis entity extraction information recognition textpro},
pages = {51-54},
timestamp = {2013-07-19T12:46:47.000+0200},
title = {Named Entity Recognition from Speech: Approach and Results Using the {TextPro} System},
url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.27.1116},
year = 1999
}