Robust question answering for speech transcripts using minimal syntactic analysis

Pere R. Comas; Jordi Turmo; Mihai Surdeanu

Robust question answering for speech transcripts using minimal syntactic analysis

Pere R. Comas
, Jordi Turmo
, Mihai Surdeanu

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper describes the participation of the Technical University of Catalonia in the CLEF 2007 Question Answering on Speech Transcripts track. For the processing of manual transcripts we have deployed a robust factual Question Answering that uses minimal syntactic information. For the handling of automatic transcripts we combine the QA system with a novel Passage Retrieval and Answer Extraction engine, which is based on a sequence alignment algorithm that searches for "sounds like" sequences in the document collection. We have also enriched the NERC with phonetic features to facilitate the recognition of named entities even when they are incorrectly transcribed.

Original language	English (US)
Journal	CEUR Workshop Proceedings
Volume	1173
State	Published - 2007
Externally published	Yes
Event	2007 Cross Language Evaluation Forum Workshop, CLEF 2007, co-located with the 11th European Conference on Digital Libraries, ECDL 2007 - Budapest, Hungary Duration: Sep 19 2007 → Sep 21 2007

Keywords

Phonetic distance
Question answering
Spoken document retrieval

ASJC Scopus subject areas

General Computer Science

Cite this

@article{feae794f1e1248b398ee9092154fc8ba,

title = "Robust question answering for speech transcripts using minimal syntactic analysis",

abstract = "This paper describes the participation of the Technical University of Catalonia in the CLEF 2007 Question Answering on Speech Transcripts track. For the processing of manual transcripts we have deployed a robust factual Question Answering that uses minimal syntactic information. For the handling of automatic transcripts we combine the QA system with a novel Passage Retrieval and Answer Extraction engine, which is based on a sequence alignment algorithm that searches for {"}sounds like{"} sequences in the document collection. We have also enriched the NERC with phonetic features to facilitate the recognition of named entities even when they are incorrectly transcribed.",

keywords = "Phonetic distance, Question answering, Spoken document retrieval",

author = "Comas, \{Pere R.\} and Jordi Turmo and Mihai Surdeanu",

year = "2007",

language = "English (US)",

volume = "1173",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

note = "2007 Cross Language Evaluation Forum Workshop, CLEF 2007, co-located with the 11th European Conference on Digital Libraries, ECDL 2007 ; Conference date: 19-09-2007 Through 21-09-2007",

}

TY - JOUR

T1 - Robust question answering for speech transcripts using minimal syntactic analysis

AU - Comas, Pere R.

AU - Turmo, Jordi

AU - Surdeanu, Mihai

PY - 2007

Y1 - 2007

N2 - This paper describes the participation of the Technical University of Catalonia in the CLEF 2007 Question Answering on Speech Transcripts track. For the processing of manual transcripts we have deployed a robust factual Question Answering that uses minimal syntactic information. For the handling of automatic transcripts we combine the QA system with a novel Passage Retrieval and Answer Extraction engine, which is based on a sequence alignment algorithm that searches for "sounds like" sequences in the document collection. We have also enriched the NERC with phonetic features to facilitate the recognition of named entities even when they are incorrectly transcribed.

AB - This paper describes the participation of the Technical University of Catalonia in the CLEF 2007 Question Answering on Speech Transcripts track. For the processing of manual transcripts we have deployed a robust factual Question Answering that uses minimal syntactic information. For the handling of automatic transcripts we combine the QA system with a novel Passage Retrieval and Answer Extraction engine, which is based on a sequence alignment algorithm that searches for "sounds like" sequences in the document collection. We have also enriched the NERC with phonetic features to facilitate the recognition of named entities even when they are incorrectly transcribed.

KW - Phonetic distance

KW - Question answering

KW - Spoken document retrieval

UR - https://www.scopus.com/pages/publications/84921942693

UR - https://www.scopus.com/pages/publications/84921942693#tab=citedBy

M3 - Conference article

AN - SCOPUS:84921942693

SN - 1613-0073

VL - 1173

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2007 Cross Language Evaluation Forum Workshop, CLEF 2007, co-located with the 11th European Conference on Digital Libraries, ECDL 2007

Y2 - 19 September 2007 through 21 September 2007

ER -

Robust question answering for speech transcripts using minimal syntactic analysis

Abstract

Keywords

ASJC Scopus subject areas

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