Abstract
Knowledge acquisition in this paper concerns converting raw natural language input into database entries. This is achieved by linking two systems: Treebank Semantics and \(\mathcal{F}\textsc {lora}\)-2. Treebank Semantics (Butler 2021) is an implemented grammar system that converts parsed constituency trees from a treebank parser into logic based representations that capture sentence and discourse dependencies. Further postprocessing produces content for \(\mathcal{F}\textsc {lora}\)-2, “a sophisticated object-based knowledge representation and reasoning system” (Kifer et al. 2020). A running example illustrates capabilities and use of the combined systems.
This paper benefited from the comments of two anonymous reviewers, and from the participants of LENLS17, all of whom are gratefully acknowledged. This research was supported by the NINJAL Parsed Corpus of Modern Japanese (NPCMJ) project funded by the National Institute for Japanese Language and Linguistics (NINJAL), and by the Japan Society for the Promotion of Science (JSPS), Kakenhi Project 19K00541.
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References
Banarescu, L., et al.: Abstract meaning representation for sembanking. In: Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse, pp. 178–186 (2013)
Basile, V., Bos, J., Evang, K., Venhuizen, N.: Developing a large semantically annotated corpus. In: Proceedings of the 8th International Conference on Language Resources and Evaluation, Istanbul, Turkey (2012)
Briscoe, T., Carroll, J.A., Watson, R.: The second release of the RASP system. In: Proceedings of the COLING/ACL 2006 Interactive Presentation Sessions, Sydney, Australia, pp. 77–80 (2006)
Butler, A.: From discourse to logic with stanford CoreNLP and treebank semantics. In: Sakamoto, M., Okazaki, N., Mineshima, K., Satoh, K. (eds.) JSAI-isAI 2019. LNCS (LNAI), vol. 12331, pp. 182–196. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58790-1_12
Butler, A.: Meaning representations from treebanks. The Treebank Semantics Web Site (2021). http://www.compling.jp/ajb129/ts.html
Dekker, P.: Dynamic Semantics. Studies in Linguistics and Philosophy, vol. 91. Springer, Dordrecht (2012). https://doi.org/10.1007/978-94-007-4869-9
Dyvik, H., et al.: NorGramBank: a ‘Deep’ treebank for Norwegian. In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), pp. 3555–3562. European Language Resources Association (ELRA), Paris (2016)
Flickinger, D., Zhang, Y., Kordoni, V.: DeepBank: a dynamically annotated treebank of the wall street journal. In: Proceedings of TLT-11, Lisbon, Portugal (2012)
Hockenmaier, J., Steedman, M.: CCGbank: user’s manual. Technical report MS-CIS-05-09, Department of Computer and Information Science, University of Pennsylvania, Philadelphia (2005)
Kamp, H., Reyle, U.: From Discourse to Logic: Introduction to Model-theoretic Semantics of Natural Language, Formal Logic and Discourse Representation Theory. Kluwer, Dordrecht (1993)
Kifer, M., Lausen, G., James, W.: Logical foundations of object-oriented and frame-based languages. J. ACM (JACM) 42, 741–843 (1995)
Kifer, M., Yang, G., Wan, H., Zhao, C.: ERGO Lite (a.k.a. Flora-2): user’s manual, Version 2.0. Technical report, Department of Computer Science, Stony Brook University, Brook, NY 11794–4400, U.S.A (2020)
Kitaev, N., Cao, S., Klein, D.: Multilingual constituency parsing with self-attention and pre-training. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, pp. 3499–3505 (2019)
Manning, C.D., Surdeanu, M., Bauer, J., Finkel, J.R., Bethard, S., McClosky, D.: The stanford CoreNLP natural language processing toolkit. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 55–60 (2014)
Marcus, M., Santorini, B., Marcinkiewicz, M.A.: Building a large annotated corpus of English: the penn treebank. Comput. Linguist. 19(2), 313–330 (1993)
Moot, R.: A type-logical treebank for French. J. Lang. Modell. 3(1), 229–265 (2015)
Nelson, G., Wallis, S., Aarts, B.: Exploring Natural Language: Working with the British Component of the International Corpus of English. John Benjamins, Amsterdam (2002)
Nonnengart, A., Rock, G., Weidenbach, C.: On generating small clause normal forms. In: Kirchner, C., Kirchner, H. (eds.) CADE 1998. LNCS, vol. 1421, pp. 397–411. Springer, Heidelberg (1998). https://doi.org/10.1007/BFb0054274
Quirk, R., Greenbaum, S., Leech, G., Svartvik, J.: A Grammar of Contemporary English. Longman, London (1972)
Quirk, R., Greenbaum, S., Leech, G., Svartvik, J.: A Comprehensive Grammar of the English Language. Longman, London (1985)
Sampson, G.R.: English for the Computer: The SUSANNE Corpus and Analytic Scheme. Clarendon Press/Oxford University Press, Oxford (1995)
Santorini, B.: Annotation manual for the penn historical corpora and the PCEEC (Release 2). Technical report, Department of Computer and Information Science, University of Pennsylvania, Philadelphia (2010). http://www.ling.upenn.edu/histcorpora/annotation
Schuster, S., Manning, C.D.: Enhanced English universal dependencies: an improved representation for natural language understanding tasks. In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), pp. 2371–2378. European Language Resources Association (2016)
Sutcliffe, G.: The TPTP problem library and associated infrastructure: the FOF and CNF Parts, v3.5.0. J. Autom. Reason. 43(4), 337–362 (2009)
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Butler, A. (2021). Knowledge Acquisition from Natural Language with Treebank Semantics and \(\mathcal{F}\textsc {lora}\)-2. In: Okazaki, N., Yada, K., Satoh, K., Mineshima, K. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2020. Lecture Notes in Computer Science(), vol 12758. Springer, Cham. https://doi.org/10.1007/978-3-030-79942-7_3
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