"Who was Pietro Badoglio?" Towards a QA system for Italian History

Stefano Menini; Rachele Sprugnoli; Antonio Uva

"Who was Pietro Badoglio?" Towards a QA system for Italian History

Stefano Menini^*, Rachele Sprugnoli, Antonio Uva

^*Autore corrispondente per questo lavoro

Università Cattolica del Sacro Cuore

Risultato della ricerca: Contributo in libro › Contributo a convegno

2 Citazioni (Scopus)

Abstract

This paper presents QUANDHO (QUestion ANswering Data for italian HistOry), an Italian question answering dataset created to cover a specific domain, i.e. the history of Italy in the first half of the XX century. The dataset includes questions manually classified and annotated with Lexical Answer Types, and a set of question-answer pairs. This resource, freely available for research purposes, has been used to retrain a domain independent question answering system so to improve its performances in the domain of interest. Ongoing experiments on the development of a question classifier and an automatic tagger of Lexical Answer Types are also presented.

Lingua originale	English
Titolo della pubblicazione ospite	Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)
Pagine	3502-3509
Numero di pagine	8
Stato di pubblicazione	Pubblicato - 2016
Evento	Tenth International Conference on Language Resources and Evaluation (LREC 2016) - Portorož, Slovenia Durata: 23 mag 2016 → 28 mag 2016

Convegno

Convegno	Tenth International Conference on Language Resources and Evaluation (LREC 2016)
Città	Portorož, Slovenia
Periodo	23/5/16 → 28/5/16

Keywords

Corpus
Digital History
Question Answering

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title = "{"}Who was Pietro Badoglio?{"} Towards a QA system for Italian History",

abstract = "This paper presents QUANDHO (QUestion ANswering Data for italian HistOry), an Italian question answering dataset created to cover a specific domain, i.e. the history of Italy in the first half of the XX century. The dataset includes questions manually classified and annotated with Lexical Answer Types, and a set of question-answer pairs. This resource, freely available for research purposes, has been used to retrain a domain independent question answering system so to improve its performances in the domain of interest. Ongoing experiments on the development of a question classifier and an automatic tagger of Lexical Answer Types are also presented.",

keywords = "Corpus, Digital History, Question Answering, Corpus, Digital History, Question Answering",

author = "Stefano Menini and Rachele Sprugnoli and Antonio Uva",

year = "2016",

language = "English",

isbn = "978-2-9517408-9-1",

pages = "3502--3509",

booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)",

note = "Tenth International Conference on Language Resources and Evaluation (LREC 2016) ; Conference date: 23-05-2016 Through 28-05-2016",

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TY - GEN

T1 - "Who was Pietro Badoglio?" Towards a QA system for Italian History

AU - Menini, Stefano

AU - Sprugnoli, Rachele

AU - Uva, Antonio

PY - 2016

Y1 - 2016

N2 - This paper presents QUANDHO (QUestion ANswering Data for italian HistOry), an Italian question answering dataset created to cover a specific domain, i.e. the history of Italy in the first half of the XX century. The dataset includes questions manually classified and annotated with Lexical Answer Types, and a set of question-answer pairs. This resource, freely available for research purposes, has been used to retrain a domain independent question answering system so to improve its performances in the domain of interest. Ongoing experiments on the development of a question classifier and an automatic tagger of Lexical Answer Types are also presented.

AB - This paper presents QUANDHO (QUestion ANswering Data for italian HistOry), an Italian question answering dataset created to cover a specific domain, i.e. the history of Italy in the first half of the XX century. The dataset includes questions manually classified and annotated with Lexical Answer Types, and a set of question-answer pairs. This resource, freely available for research purposes, has been used to retrain a domain independent question answering system so to improve its performances in the domain of interest. Ongoing experiments on the development of a question classifier and an automatic tagger of Lexical Answer Types are also presented.

KW - Corpus

KW - Digital History

KW - Question Answering

KW - Corpus

KW - Digital History

KW - Question Answering

UR - http://hdl.handle.net/10807/132947

UR - http://www.lrec-conf.org/proceedings/lrec2016/pdf/1050_paper.pdf

M3 - Conference contribution

SN - 978-2-9517408-9-1

SP - 3502

EP - 3509

BT - Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)

T2 - Tenth International Conference on Language Resources and Evaluation (LREC 2016)

Y2 - 23 May 2016 through 28 May 2016

ER -

"Who was Pietro Badoglio?" Towards a QA system for Italian History

Abstract

Convegno

Keywords

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