Language Resources and Evaluation

, Volume 50, Issue 2, pp 263–289 | Cite as

Predicate Matrix: automatically extending the semantic interoperability between predicate resources

  • Maddalen Lopez de Lacalle
  • Egoitz LaparraEmail author
  • Itziar Aldabe
  • German Rigau
Original Paper


This paper presents a novel approach to improve the interoperability between four semantic resources that incorporate predicate information. Our proposal defines a set of automatic methods for mapping the semantic knowledge included in WordNet, VerbNet, PropBank and FrameNet. We use advanced graph-based word sense disambiguation algorithms and corpus alignment methods to automatically establish the appropriate mappings among their lexical entries and roles. We study different settings for each method using SemLink as a gold-standard for evaluation. The results show that the new approach provides productive and reliable mappings. In fact, the mappings obtained automatically outnumber the set of original mappings in SemLink. Finally, we also present a new version of the Predicate Matrix, a lexical-semantic resource resulting from the integration of the mappings obtained by our automatic methods and SemLink.


Verbal lexicon WordNet VerbNet FrameNet  PropBank SemLink 



This work has been partially funded by TUNER (TIN2015-65308-C5-1-R), NewsReader (FP7-ICT-2011-8-316404), as well as the READERS project with the financial support of MINECO, ANR (convention ANR-12-CHRI-0004-03) and EPSRC (EP/K017845/1) in the framework of ERA-NET CHIST-ERA (UE FP7/2007-2013).


  1. Agirre, E., & Soroa, A. (2009). Personalizing pagerank for word sense disambiguation. In Proceedings of the 12th conference of the European chapter of the association for computational linguistics (EACL-2009). Athens, Greece: European Association for Computational Linguistics.Google Scholar
  2. Álvez, J., Lucio, P., & Rigau, G. (2012). Adimen-sumo: Reengineering an ontology for first-order reasoning. International Journal on Semantic Web and Information Systems (IJSWIS), 8(4), 80–116.CrossRefGoogle Scholar
  3. Baker, C., Fillmore, C., & Lowe, J. (1997). The berkeley framenet project. In COLING/ACL’98. Canada: Montreal.Google Scholar
  4. Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., et al. (2009). Dbpedia-a crystallization point for the web of data. Web Semantics: Science. Services and Agents on the World Wide Web, 7(3), 154–165.CrossRefGoogle Scholar
  5. Björkelund, A., & Hafdell, L. (2009). High-performance multilingual semantic role labeling. MSc thesis, Lund University.Google Scholar
  6. Bohnet, B. (2010). Very high accuracy and fast dependency parsing is not a contradiction. In The 23rd international conference on computational linguistics (COLING 2010). China: Beijing.Google Scholar
  7. Bollacker, K., Evans, C., Paritosh, P., Sturge, T., & Taylor, J. (2008). Freebase: A collaboratively created graph database for structuring human knowledge. In Proceedings of the 2008 ACM SIGMOD international conference on management of data (pp. 1247–1250). ACM.Google Scholar
  8. Burchardt, A., & Pennacchiotti, M. (2008). Fate: A framenet-annotated corpus for textual entailment. In LREC.Google Scholar
  9. Burchardt, A., Erk, K., & Frank, A. (2005). A WordNet detour to FrameNet. In Proceedings of the GLDV 2005 GermaNet II workshop (pp. 408–421). Germany: Bonn.Google Scholar
  10. Chen, D., Schneider, N., Das, D., & Smith, N. A. (2010). Semafor: Frame argument resolution with log-linear models. In Proceedings of the 5th international workshop on semantic evaluation (pp. 264–267). Uppsala, Sweden: Association for Computational Linguistics.
  11. Cuadros, M., & Rigau, G. (2008). Knownet: Building a large net of knowledge from the web. In 22nd International conference on computational linguistics (COLING’08), Manchester, UK.Google Scholar
  12. Das, D., Schneider, N., Chen, D., & Smith, N. A. (2010). Probabilistic frame-semantic parsing. In Human language technologies: The 2010 annual conference of the North American chapter of the association for computational linguistics (pp. 948–956). Association for Computational Linguistics.Google Scholar
  13. Erk, K., & Pado, S. (2004). A powerful and versatile xml format for representing role-semantic annotation. In Proceedings of LREC-2004. Lisbon,
  14. Fellbaum, C. (Ed.). (1998). WordNet. An electronic lexical database. Cambridge: The MIT Press.Google Scholar
  15. Fellbaum, C., & Baker, C. F. (2013). Comparing and harmonizing different verb classifications in light of a semantic annotation task. Linguistics, 51(4), 707–728. doi: 10.1515/ling-2013-0025.CrossRefGoogle Scholar
  16. Fillmore, C. J. (1976). Frame semantics and the nature of language. In Annals of the New York Academy of Sciences: Conference on the origin and development of language and speech (vol. 280, pp. 20–32). New York.Google Scholar
  17. Giuglea, A. M., & Moschitti, A. (2006). Semantic role labeling via framenet, verbnet and propbank. In Proceedings of COLING-ACL 2006 (pp. 929–936). Morristown, NJ, USA: ACL. doi: 10.3115/1220175.1220292.
  18. Gonzalez-Agirre, A., Laparra, E., & Rigau, G. (2012). Multilingual central repository version 3.0. In LREC (pp. 2525–2529).Google Scholar
  19. González-Agirre, A., Rigau, G., & Castillo, M. (2012). A graph-based method to improve wordnet domains. In CICLING (pp. 17–28). Springer.Google Scholar
  20. Gurevych, I., Eckle-Kohler, J., Hartmann, S., Matuschek, M., Meyer, & C. M., Wirth, C. (2012). Uby: A large-scale unified lexical-semantic resource based on lmf. In Proceedings of EACL (pp. 580–590).Google Scholar
  21. Izquierdo, R., Suárez, A., & Rigau, G. (2007). Exploring the automatic selection of basic level concepts. In Proceedings of RANLP (Vol. 7). Citeseer.Google Scholar
  22. Kipper, K. (2005). Verbnet: A broad-coverage, comprehensive verb lexicon. PhD thesis, University of Pennsylvania,
  23. Laparra, E., & Rigau, G. (2009). Integrating wordnet and framenet using a knowledge-based word sense disambiguation algorithm. In Proceedings of RANLP. Bulgaria: Borovets.Google Scholar
  24. Laparra, E., & Rigau, G. (2013). Impar: A deterministic algorithm for implicit semantic role labelling. In Proceedings of the 51st annual meeting of the association for computational linguistics (ACL 2013) (pp. 33–41).Google Scholar
  25. Laparra, E., Rigau, G., & Cuadros, M. (2010). Exploring the integration of wordnet and framenet. In Proceedings of the 5th Global WordNet Conference (GWC 2010). Mumbai, India.Google Scholar
  26. Levin, B. (1993). English verb classes and alternations: A preliminary investigation. Chicago: Chicago University Press.Google Scholar
  27. López de Lacalle et al., M., Laparra, E., & Rigau, G. (2014a) Extending semlink through wordnet mappings. In Proceedings of the 9th language resources and evaluation conference (LREC2014). Iceland: Reykjavik.Google Scholar
  28. López de Lacalle et al., M., Laparra, E., & Rigau, G. (2014b) First steps towards a predicate matrix. In Proceedings of the 7th global WordNet conference (GWC2014). Estonia: Tartu.Google Scholar
  29. McDonald, R., Crammer, K., & Pereira, F. (2005). Online large-margin training of dependency parsers. In Proceedings of the 43rd annual meeting on association for computational linguistics (pp. 91–98). Stroudsburg, PA: Association for Computational Linguistics, ACL ’05. doi: 10.3115/1219840.1219852.
  30. Navigli, R., & Ponzetto, S. P. (2010). Babelnet: Building a very large multilingual semantic network. In Proceedings of the 48th annual meeting of ACL (pp. 216–225).Google Scholar
  31. Navigli, R., & Velardi, P. (2005). Structural semantic interconnections: A knowledge-based approach to word sense disambiguation. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 27(7), 1063–1074.CrossRefGoogle Scholar
  32. Palmer, M. (2009). Semlink: Linking propbank, verbnet and framenet. In Proceedings of the generative lexicon conference (pp. 9–15).Google Scholar
  33. Palmer, M., Gildea, D., & Kingsbury, P. (2005). The proposition bank: An annotated corpus of semantic roles. Computational Linguistics, 31(1), 71–106. doi: 10.1162/0891201053630264.CrossRefGoogle Scholar
  34. Pavlick, E., Wolfe, T., Rastogi, P., Callison-Burch, C., Drezde, M., & Van Durme, B. (2015). Framenet+: Fast paraphrastic tripling of framenet. In Proc of ACL-IJCNLP. Beijing, China.Google Scholar
  35. Presutti, V., Draicchio, F., & Gangemi, A. (2012). Knowledge extraction based on discourse representation theory and linguistic frames. In Proceedings of the 18th international conference on knowledge engineering and knowledge management (pp. 114–129,). Berlin: Springer, EKAW’12. doi: 10.1007/978-3-642-33876-2_12.
  36. Segers, R., Vossen, P., Rospocher, M., Serafini, L., Laparra, E., & Rigau, G. (2015). Eso: A frame based ontology for events and implied situations. In Proceedings of MAPLEX 2015. Japan: Yamagata.
  37. Shen, D., & Lapata, M. (2007). Using semantic roles to improve question answering. In EMNLP-CoNLL (pp. 12–21).Google Scholar
  38. Shi, L., & Mihalcea, R. (2005). Putting pieces together: Combining framenet, verbnet and wordnet for robust semantic parsing. In Proceedings of CICLing. Mexico.Google Scholar
  39. Subirats, C., & Petruck, M. R. (2003). Surprise: Spanish framenet. In Proceedings of the international congress of linguists. Praga.Google Scholar
  40. Suchanek, F. M., Kasneci, G., & Weikum, G. (2007) Yago: A core of semantic knowledge. In WWW conference. New York, NY: ACM Press.Google Scholar
  41. Taulé, M., Martí, M. A., & Recasens, M. (2008). Ancora: Multilevel annotated corpora for catalan and spanish. In LREC.Google Scholar
  42. Vossen, P., Rigau, G., Serafini, L., Stouten, P., Irving, F., & Hage, W. R. V. (2014). Newsreader: Recording history from daily news streams. In Proceedings of the 9th language resources and evaluation conference (LREC2014). Iceland: Reykjavik.

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  • Maddalen Lopez de Lacalle
    • 1
  • Egoitz Laparra
    • 1
    Email author
  • Itziar Aldabe
    • 1
  • German Rigau
    • 1
  1. 1.University of the Basque Country UPV/EHUDonostiaSpain

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