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

Hakimov S, Unger C, Walter S, Cimiano P (2015)
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, Metais E (Eds); LNCS, 9103. Springer International Publishing: 103-109.

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Konferenzbeitrag | Veröffentlicht | Englisch
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Abstract / Bemerkung
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.
Erscheinungsjahr
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
Band
9103
Seite
103-109
Konferenz
Natural Language Processing and Information Systems
Konferenzort
Passau, Germany
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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.
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
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.
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.
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.
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).
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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