Konferenzpaper | 2015 | Peer reviewed

Applying Semantic Parsing to Question Answering Over Linked Data: Addressing the Lexical Gap

Autor(en)

Hakimov, Sherzod ; Unger, Christina ; Walter, Sebastian ; Cimiano, Philipp

Titel des Konferenzbandes

Natural Language Processing and Information Systems: 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, Passau, Germany, June 17-19, 2015, Proceedings

Name der Konferenz

Natural Language Processing and Information Systems

DOI

10.1007/978-3-319-19581-0_8

ISBN-13

9783319195803

URN

urn:nbn:de:0070-pub-27606420

URL

https://pub.uni-bielefeld.de/record/2760642

Weitere Details

Sprache

englisch

Darstellungsform

Text

Seitenbereich

103 - 109

Schlagwörter

CCG , QALD , question answering , semantic parsing

Link zum Volltext (intern)

https://pub.uni-bielefeld.de/record/2760642

DDC

006

Question answering over linked data has emerged in the past years as an important topic of research in order to provide natural language access to a growing body of linked open data on the Web. In this paper we focus on analyzing the lexical gap that arises as a challenge for any such question answering system. The lexical gap refers to the mismatch between the vocabulary used in a user question and the vocabulary used in the relevant dataset. We implement a semantic parsing approach and evaluate it on the QALD-4 benchmark, showing that the performance of such an approach suffers from training data sparseness. Its performance can, however, be substantially improved if the right lexical knowledge is available. To show this, we model a set of lexical entries by hand to quantify the number of entries that would be needed. Further, we analyze if a state-of-the-art tool for inducing ontology lexica from corpora can derive these lexical entries automatically. We conclude that further research and investments are needed to derive such lexical knowledge automatically or semi-automatically.

Zitierstile

Hakimov S, Unger C, Walter S, Cimiano P. Applying Semantic Parsing to Question Answering Over Linked Data: Addressing the Lexical Gap. In: Biemann C, Handschuh S, Freitas A, Meziane F, Metais E, eds. Natural Language Processing and Information Systems: 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, Passau, Germany, June 17-19, 2015, Proceedings. LNCS. Vol 9103. Springer International Publishing; 2015: 103-109.

In die Zwischenablage einfügen

Hakimov, S., Unger, C., Walter, S., & Cimiano, P. (2015). Applying Semantic Parsing to Question Answering Over Linked Data: Addressing the Lexical Gap. In C. Biemann, S. Handschuh, A. Freitas, F. Meziane, & E. Metais (Eds.), LNCS: Vol. 9103. Natural Language Processing and Information Systems: 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, Passau, Germany, June 17-19, 2015, Proceedings (pp. 103-109). Springer International Publishing. doi:10.1007/978-3-319-19581-0_8

In die Zwischenablage einfügen

Hakimov, Sherzod, Unger, Christina, Walter, Sebastian, and Cimiano, Philipp. 2015. “Applying Semantic Parsing to Question Answering Over Linked Data: Addressing the Lexical Gap”. In Natural Language Processing and Information Systems: 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, Passau, Germany, June 17-19, 2015, Proceedings, ed. Chris Biemann, Siegfried Handschuh, Andre Freitas, Farid Meziane, and Elsiabeth Metais, 9103:103-109. LNCS. Springer International Publishing.

In die Zwischenablage einfügen

Hakimov, S., Unger, C., Walter, S., and Cimiano, P. (2015). “Applying Semantic Parsing to Question Answering Over Linked Data: Addressing the Lexical Gap” in Natural Language Processing and Information Systems: 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, Passau, Germany, June 17-19, 2015, Proceedings, Biemann, C., Handschuh, S., Freitas, A., Meziane, F., and Metais, E. eds. LNCS, vol. 9103, (Springer International Publishing), 103-109.

In die Zwischenablage einfügen

Hakimov, S., et al., 2015. Applying Semantic Parsing to Question Answering Over Linked Data: Addressing the Lexical Gap. In C. Biemann, et al., eds. Natural Language Processing and Information Systems: 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, Passau, Germany, June 17-19, 2015, Proceedings. LNCS. no.9103 Springer International Publishing, pp. 103-109.

In die Zwischenablage einfügen

S. Hakimov, et al., “Applying Semantic Parsing to Question Answering Over Linked Data: Addressing the Lexical Gap”, Natural Language Processing and Information Systems: 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, Passau, Germany, June 17-19, 2015, Proceedings, C. Biemann, et al., eds., LNCS, vol. 9103, Springer International Publishing, 2015, pp.103-109.

In die Zwischenablage einfügen

Hakimov, S., Unger, C., Walter, S., Cimiano, P.: Applying Semantic Parsing to Question Answering Over Linked Data: Addressing the Lexical Gap. In: Biemann, C., Handschuh, S., Freitas, A., Meziane, F., and Metais, E. (eds.) Natural Language Processing and Information Systems: 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, Passau, Germany, June 17-19, 2015, Proceedings. LNCS. 9103, p. 103-109. Springer International Publishing (2015).

In die Zwischenablage einfügen

Hakimov, Sherzod, Unger, Christina, Walter, Sebastian, and Cimiano, Philipp. “Applying Semantic Parsing to Question Answering Over Linked Data: Addressing the Lexical Gap”. Natural Language Processing and Information Systems: 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, Passau, Germany, June 17-19, 2015, Proceedings. Ed. Chris Biemann, Siegfried Handschuh, Andre Freitas, Farid Meziane, and Elsiabeth Metais. Springer International Publishing, 2015.Vol. 9103. LNCS. 103-109.

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