Abstract
In Generative Lexicon [17], Pustejovsky defined the Qualia Structure which organizes the semantic meaning carried by nouns through four roles: formal, telic, agentive and constitutive. Despite their expressive power, to the best of our knowledge no actual NLP system uses qualia structures possibly due to the large effort needed to construct such knowledge bases. Some researchers have tried to circumvent this obstacle using lexico-syntactic patterns based on Hearst idea [11]. In this paper, we propose an Open Information Extraction method to automatically acquire a set of relational phrases from a large corpus, starting with a small set of nouns and their qualia elements. Our idea is that the relational phrases unveil the relations between the nouns and their qualia elements. We compared our method with Reverb [10], Ollie [18] and ClausIE [9] in terms of patterns quality and the relative qualia elements extraction.
The major part of this work has been carried out by the first two authors, equally. The work has been funded by the project Semantic Burst: Embodying Semantic Resources in Vector Space Models, financed by Compagnia di San Paolo.
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Notes
- 1.
Note that we have two possible cases: (argument1 = noun, argument2 = qualia element) and (argument1 = qualia element, argument2 = noun).
- 2.
An exception is ClausIE [9] which can extract pairs of the form (argument, relational phrase) and N-ary relations composed by a triple and a set of additional information.
- 3.
- 4.
We used Mate-Tools parser (http://code.google.com/p/mate-tools).
- 5.
If the term referring to the argument has an empty babelnetids attribute in the qualia structure, we consider the argument as correct.
- 6.
The resource is available at the following url: http://lcl.uniroma1.it/babelfied-wikipedia/.
- 7.
We could not manage to solve this issue with the help of the available documentation.
- 8.
In case of a missing score, we assumed it as 0.
- 9.
- 10.
In case of a missing evaluation of a qualia element, we assumed that it does not belong to the role.
References
Akbik, A., Löser, A.: Kraken: N-ary facts in open information extraction. In: Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, pp. 52–56. Association for Computational Linguistics (2012)
Baker, C.F., Fillmore, C.J., Lowe, J.B.: The berkeley framenet project. In: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, vol. 1, pp. 86–90. Association for Computational Linguistics (1998)
Banko, M., Cafarella, M.J., Soderland, S., Broadhead, M., Etzioni, O.: Open information extraction from the web. IJCAI 7, 2670–2676 (2007)
Bovi, C.D., Telesca, L., Navigli, R.: Large-scale information extraction from textual definitions through deep syntactic and semantic analysis. Trans. Assoc. Comput. Linguist. 3, 529–543 (2015)
Carlson, A., Betteridge, J., Kisiel, B., Settles, B., Hruschka Jr., E.R., Mitchell, T.M.: Toward an architecture for never-ending language learning. In: AAAI, vol. 5, p. 3 (2010)
Caselli, T., Rise, T., Russo, I.: From glosses to qualia: qualia extraction from senso comune. In: 6th International Conference on Generative Approaches to the Lexicon, p. 37 (2013)
Cimiano, P., Wenderoth, J.: Automatically learning qualia structures from the web. In: Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition, pp. 28–37. Association for Computational Linguistics (2005)
Cimiano, P., Wenderoth, J.: Automatic acquisition of ranked qualia structures from the web. In: ACL 2007, Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (2007)
Del Corro, L., Gemulla, R.: Clausie: clause-based open information extraction. In: Proceedings of the 22nd International Conference on World Wide Web, pp. 355–366. ACM (2013)
Fader, A., Soderland, S., Etzioni, O.: Identifying relations for open information extraction. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 1535–1545. Association for Computational Linguistics (2011)
Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In: Proceedings of the 14th Conference on Computational Linguistics, vol. 2, pp. 539–545. Association for Computational Linguistics (1992)
Miller, G.A.: Wordnet: a lexical database for english. Commun. ACM 38(11), 39–41 (1995)
Moro, A., Navigli, R.: Integrating syntactic and semantic analysis into the open information extraction paradigm. In: IJCAI (2013)
Nakashole, N., Weikum, G., Suchanek, F.: Patty: a taxonomy of relational patterns with semantic types. In: Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp. 1135–1145. Association for Computational Linguistics (2012)
Navigli, R., Ponzetto, S.P.: Babelnet: the automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artif. Intell. 193, 217–250 (2012)
Oltramari, A., Vetere, G., Chiari, I., Jezek, E., Zanzotto, F.M., Nissim, M., Gangemi, A.: Senso comune: a collaborative knowledge resource for italian. In: Gurevych, I., Kim, J. (eds.) The Peoples Web Meets NLP. Theory and Applications of Natural Language Processing, pp. 45–67. Springer, Heidelberg (2013). doi:10.1007/978-3-642-35085-6_2
Pustejovsky, J.: The generative lexicon. Comput. Linguist. 17(4), 409–441 (1991)
Schmitz, M., Bart, R., Soderland, S., Etzioni, O., et al.: Open language learning for information extraction. In: Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp. 523–534. Association for Computational Linguistics (2012)
Scozzafava, F., Raganato, A., Moro, A., Navigli, R.: Automatic identification and disambiguation of concepts and named entities in the multilingual wikipedia. In: Gavanelli, M., Lamma, E., Riguzzi, F. (eds.) AI*IA 2015. LNCS, vol. 9336, pp. 357–366. Springer, Cham (2015). doi:10.1007/978-3-319-24309-2_27
Speer, R., Havasi, C.: Representing general relational knowledge in conceptnet 5. In: LREC, pp. 3679–3686 (2012)
Wu, F., Weld, D.S.: Open information extraction using wikipedia. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 118–127. Association for Computational Linguistics (2010)
Yamada, I., Baldwin, T.: Automatic discovery of telic and agentive roles from corpus data. In: PACLIC (2004)
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Siragusa, G., Leone, V., Di Caro, L., Schifanella, C. (2017). Discovering Relational Phrases for Qualia Roles Through Open Information Extraction. In: Różewski, P., Lange, C. (eds) Knowledge Engineering and Semantic Web. KESW 2017. Communications in Computer and Information Science, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-69548-8_6
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