Named Entity Recognition on Transcribed Broadcast News at EVALITA 2011Evaluation of Natural Language and Speech Tools for Italian

Rachele Sprugnoli

doi:10.1007/978-3-642-35828-9_10

Named Entity Recognition on Transcribed Broadcast News at EVALITA 2011Evaluation of Natural Language and Speech Tools for Italian

Rachele Sprugnoli

Università Cattolica del Sacro Cuore

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

This paper describes features and outcomes of the Named Entity Recognition on Transcribed Broadcast News task at EVALITA 2011. This task represented a change with respect to previous editions of the NER task within the EVALITA evaluation campaign because it was based on automatic transcription of spoken broadcast news. In this paper, we present the training and test data used, the evaluation procedure and participants’ results. In particular, three participating systems are described and the results they obtained are discussed; special attention is given to the analysis of the impact of transcription errors on NER performance.

Original language	English
Title of host publication	Evaluation of Natural Language and Speech Tools for Italian. EVALITA 2012.
Pages	86-97
Number of pages	12
Volume	7689
DOIs	https://doi.org/10.1007/978-3-642-35828-9_10
Publication status	Published - 2013
Event	EVALITA 2011 - Roma, Italia Duration: 24 Jan 2012 → 25 Jan 2012

Workshop

Workshop	EVALITA 2011
City	Roma, Italia
Period	24/1/12 → 25/1/12

Keywords

Evaluation, Named Entity Recognition, Broadcast News, Italian

Access to Document

10.1007/978-3-642-35828-9_10

Cite this

@inproceedings{ee3eb244487c491c8d540b5e11c6ebb4,

title = "Named Entity Recognition on Transcribed Broadcast News at EVALITA 2011Evaluation of Natural Language and Speech Tools for Italian",

abstract = "This paper describes features and outcomes of the Named Entity Recognition on Transcribed Broadcast News task at EVALITA 2011. This task represented a change with respect to previous editions of the NER task within the EVALITA evaluation campaign because it was based on automatic transcription of spoken broadcast news. In this paper, we present the training and test data used, the evaluation procedure and participants{\textquoteright} results. In particular, three participating systems are described and the results they obtained are discussed; special attention is given to the analysis of the impact of transcription errors on NER performance.",

keywords = "Evaluation, Named Entity Recognition, Broadcast News, Italian, Evaluation, Named Entity Recognition, Broadcast News, Italian",

author = "Rachele Sprugnoli",

year = "2013",

doi = "10.1007/978-3-642-35828-9_10",

language = "English",

isbn = "9783642358272",

volume = "7689",

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booktitle = "Evaluation of Natural Language and Speech Tools for Italian. EVALITA 2012.",

note = "EVALITA 2011 ; Conference date: 24-01-2012 Through 25-01-2012",

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AU - Sprugnoli, Rachele

PY - 2013

Y1 - 2013

N2 - This paper describes features and outcomes of the Named Entity Recognition on Transcribed Broadcast News task at EVALITA 2011. This task represented a change with respect to previous editions of the NER task within the EVALITA evaluation campaign because it was based on automatic transcription of spoken broadcast news. In this paper, we present the training and test data used, the evaluation procedure and participants’ results. In particular, three participating systems are described and the results they obtained are discussed; special attention is given to the analysis of the impact of transcription errors on NER performance.

AB - This paper describes features and outcomes of the Named Entity Recognition on Transcribed Broadcast News task at EVALITA 2011. This task represented a change with respect to previous editions of the NER task within the EVALITA evaluation campaign because it was based on automatic transcription of spoken broadcast news. In this paper, we present the training and test data used, the evaluation procedure and participants’ results. In particular, three participating systems are described and the results they obtained are discussed; special attention is given to the analysis of the impact of transcription errors on NER performance.

KW - Evaluation, Named Entity Recognition, Broadcast News, Italian

UR - http://hdl.handle.net/10807/133037

UR - https://link.springer.com/chapter/10.1007/978-3-642-35828-9_10

U2 - 10.1007/978-3-642-35828-9_10

DO - 10.1007/978-3-642-35828-9_10

M3 - Conference contribution

SN - 9783642358272

VL - 7689

SP - 86

EP - 97

BT - Evaluation of Natural Language and Speech Tools for Italian. EVALITA 2012.

T2 - EVALITA 2011

Y2 - 24 January 2012 through 25 January 2012

ER -

Named Entity Recognition on Transcribed Broadcast News at EVALITA 2011Evaluation of Natural Language and Speech Tools for Italian

Abstract

Workshop

Keywords

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