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Erschienen in:
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2016 | OriginalPaper | Buchkapitel

Discovering Semantic Relations Within Nominals

verfasst von : Mihaela Colhon, Dan Cristea, Daniela Gîfu

Erschienen in: Linguistic Linked Open Data

Verlag: Springer International Publishing

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Abstract

We are interested to develop a technology able to discover entities and relations connecting them, as expressed in fiction texts. Deciphering these links is a major step in understanding the content of books. In this study we consider the case of imbricated entities, therefore entities realized at the surface text level by imbricated spans. For this research we use the QuoVadis corpus, whose conventions of annotations we describe briefly, same as some statistics on the types of relations, features regarding the relations’ arguments and words or expressions functioning as triggers. The approach to recognize the semantic relations is based on patterns extracted from the corpus. The evaluation shows very promising results.

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Fußnoten
1
Version translated by Remus Luca and Elena Linţă and published at Tenzi Publishing House in 1991. The aligned passages are searched in the English translation made by Jeremiah Curtin and published by Little Brown and Company in 1897.
 
2
The term “realize” is the one used in Centering [9].
 
3
Care should be taken when using the term ‘head’: in the context of the surface text, we say that a group (for instance, an NP) has a head; in the context of a dependency tree, we say that each word of a sentence (excepting the main verb), has a head. When confusion could occur, we will use the expressions ‘NP head’ for the first case, and ‘dependency head’ – for the second. As such, an NP head is a word belonging to an NP and, seen as participant in a dependency tree, itself has a dependency head, which is external to the NP.
 
Literatur
1.
Abiteboul, S., Scholl, M.: From simple to sophisticated languages for complex objects. IEEE Data Eng. 11(3), 15–22 (1988). Special Issue on Nested Relations
2.
Bibiri, A.D.: An Annotated Corpus of Entities and Semantic Relations. Dissertation thesis presented at The Faculty of Computer Science, “Alexandru Ioan Cuza” University of Iaşi (2014)
3.
Buckles, B.P., Petry, F.: A fuzzy representation of data for relational databases. Fuzzy Sets Syst. 7, 213–226 (1982)CrossRefMATH
4.
Collier, N., Kim, J., Tateisi, Y., Ohta, T., Tsuruoka, Y. (eds.): Proceedings of the International Joint Workshop on NLP in Biomedicine and its Applications (2004)
5.
Cristea, D., Gîfu, D., Colhon, M., Diac, P., Bibiri, A.-D., Mărănduc, C., Scutelnicu, L.-A.: Quo vadis: a corpus of entities and relations. In: Gala, N., Rapp, R., Bel-Enguix, G. (eds.) Language Production, Cognition, and the Lexicon. Springer, Heidelberg (2015)
6.
Ding, L., Finin, T., Joshi, A., Peng, Y., Cost, R.S., Sachs, J., Pang, R., Reddivari, P., Doshi, V.: Swoogle: a semantic web search and metadata engine. In: Proceedings of the 13th ACM Conference on Information and Knowledge Management (2004)
7.
8.
Finkel, J.R., Manning, C.D.: Nested named entity recognition. In: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP 2009), pp. 141–150 (2009)
9.
Grosz, B., Joshi, A., Weinstein, S.: Centering: a framework for modelling the local coherence of discourse. Comput. Linguist. 2(21), 203–225 (1995)
10.
Hongbo, H.E: Implementation of Nested Relations in a Database Programming Language, Master Thesis, School of Computer Science McGill University, Montreal (1997)
11.
Jaeschke, G., Schek, H.J.: Remarks on the algebra of non first normal form relations. In: ACM Symposium on Principles of Database Systems, Los Angeles (1982)
12.
Kamfonas, M.: Recursive hierarchies: the relational taboo! The Relational J., October/November 1992
13.
Keller, F., Lapata, M.: Using the web to obtain frequencies for unseen bigrams. Comput. Linguist. 29(3), 459–484 (2003)CrossRef
14.
15.
Ling, T. W.: A normal form for entity-relationship diagrams. In: Proceedings of 4th International Conference on Entity-Relationship Approach (1985)
16.
Ling, T.W., Yan, L.L.: NF-NR: a practical normal form for nested relations. J. Syst. Integr. 4, 309–340 (1994)CrossRef
17.
Makinouchi, A.: A consideration on normal form of not-necessarily normalized relation in the relational data model. In: Proceedings of 3rd International Conference on VLDB, Japan (1977)
18.
Márquez, L., Villarejo, L., Marti, M.A., Taulè, M.: Semeval-2007 task 09: multilevel semantic annotation of Catalan and Spanish. In: Proceedings of the 4th International Workshop on Semantic Evaluations (SemEval-2007) (2007)
19.
Mel’čuk, I.: Dependency Theory: Syntax and Practice. SUNY Press, Albany (1987)
20.
Năstase, V., Nakov, P., Séaghdha, D.Ó., Szpakowicz, S.: Semantic Relations Between Nominals. Morgan & Claypool Publishers, San Rafael (2013)
21.
Özsoyoglu, Z.M., Yaun, L.-Y.: A new normal form for nested relations. ACM Trans. Database Syst. J. 21(1), 111–136 (1987)MathSciNetCrossRef
22.
Reimer, U.: A frame-based knowledge representation model and its mapping to nested relations. Data Knowl. Eng. J. 12(4), 321–352 (1989)MathSciNetCrossRef
23.
Roth, M.A., Korth, H.F.: The design of ¬1NF relational databases into nested normal form. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 143–159 (1987)
24.
Roth, M.A., Korth, H.F., Siberschatz, A.: Extended algebra and calculus for nested relational databases. ACM Trans. Database Syst. J. 13(4), 389–417 (1988)MathSciNetCrossRefMATH
25.
Simionescu, R.: Graphical grammar studio as a constraint grammar solution for part of speech tagging. In: Moruz, M.A., Cristea, D., Tufiş, D., Iftene, A., Teodorescu, H.N. (eds.) Proceedings of the 8th International Conference Linguistic Resources and Tools for Processing of the Romanian Language, pp. 109–118 (2012)
26.
Sheth, A.P., Ramakrishnan, C.: Relationship web: blazing semantic trails between web resources. IEEE Internet Comput. 11(4), 77–81 (2007)CrossRef
Metadaten
Titel
Discovering Semantic Relations Within Nominals
verfasst von
Mihaela Colhon
Dan Cristea
Daniela Gîfu
Copyright-Jahr
2016
Buch
Linguistic Linked Open Data

Print ISBN: 978-3-319-32941-3

Electronic ISBN: 978-3-319-32942-0

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-32942-0_6

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