Article published In:
Frames, constructions, and computation
Edited by Lars Borin, Gerard de Melo, Karin Friberg Heppin and Tiago Timponi Torrent
[Constructions and Frames 6:1] 2014
► pp. 92113
References
Blanchard, E., Harzallah, M., Briand, H., & Kuntz, P. (
2005) A typology of ontology-based semantic measures. In M. Missikoff & A. De Nicola. (Eds.), Proceedings of the open Interop workshop on enterprise modelling and ontologies for interoperability, CEUR Workshop Proceedings, vol. 1601. Aachen: CEUR-WS.org.Google Scholar
Boas, H. (
Ed.) (2009) Multilingual FrameNets in computational lexicography: Methods and applications. Berlin, Boston: Mouton De Gruyter. DOI logoGoogle Scholar
Borin, L., Dannélls, D., Forsberg, M., Toporowska Gronostaj, M., & Kokkinakis, D. (
2010) The past meets the present in Swedish FrameNet++. In A. Dykstra & T. Schoonheim (Eds.), Proceedings of the 14th EURALEX international congress (pp. 269–281). Leeuwarden/Ljouwert: Fryske Akademy.Google Scholar
Borin, L., Forsberg, M., & Lönngren, L. (
2013) SALDO: A touch of yin to WordNet’s yang. Language Resources and Evaluation, 471, 1191–1211. DOI logoGoogle Scholar
Brown, P., deSouza, P., Mercer, R., Della Pietra, V., & Jenifer C. Lai (
1992) Class-based n -gram models of natural language. Computational Linguistics, 18(4), 467–479.Google Scholar
Burchardt, A., Pennacchiotti, M., Thater, S., & Pinkal, M. (
2009) Assessing the impact of frame semantics on textual entailment. Natural Language Engineering, 151, 527–550. DOI logoGoogle Scholar
Das, D., & Smith, N. A. (
2011) Semi-supervised frame-semantic parsing for unknown predicates. In Y. Matsumoto & R. Mihalcea (Eds.), Proceedings of the 49th annual meeting of the Association for Computational Linguistics: human language technologies – Volume 1 (pp. 1435–1444). Stroudsburg, PA: Association for Computational Linguistics.Google Scholar
2012) Graph-based lexicon expansion with sparsity-inducing penalties. In E. Fosler-Lussier, E. Riloff & S. Bangalore (Eds.), Proceedings of the 2012 conference of the North American chapter of the Association for Computational Linguistics: human language technologies (pp. 677–687). Stroudsburg, PA: Association for Computational Linguistics.Google Scholar
Fan, R.-E., Chang, K.-W., Hsieh, C.-J., Wang, X.-R., & Lin, C.-J. (
2008) LIBLINEAR: A library for large linear classification. Journal of Machine Learning Research, 91, 1871–1874.Google Scholar
Fellbaum, C. (
Ed) (1998) WordNet: An electronic lexical database. Cambridge, MA: MIT Press. DOI logoGoogle Scholar
Fillmore, C. J., & Baker, C. (
2009) A frames approach to semantic analysis. In B. Heine, & H. Narrog (Eds.), The Oxford handbook of linguistic analysis (pp. 313–340). Oxford: OUP.Google Scholar
Friberg Heppin, K., & Toporowska Gronostaj, M. (
2012) The rocky road towards a Swedish FrameNet – creating SweFN. In N. Calzolari, K. Choukri, T. Declerck, M. U. Doğan, B. Maegaard, J. Mariani, J Odijk & S. Piperidis (Eds.), Proceedings of the eighth conference on international language resources and evaluation  (pp. 256–261). European Language Resources Association.Google Scholar
Gärdenfors, P. (
2000) Conceptual spaces: The geometry of thoughts. Cambridge, MA: Bradford Books, MIT Press. DOI logoGoogle Scholar
Harris, Z. (
1954) Distributional structure. Word, 10(23), 146–162. DOI logoGoogle Scholar
Johansson, R., & Nugues, P. (
2006) A FrameNet-based semantic role labeler for Swedish. In N. Calzolari, C. Cardie & P. Isabelle (Eds.), Proceedings of the COLING/ACL 2006 main conference poster sessions (pp. 436–443).Stroudsburg, PA: Association for Computational Linguistics. DOI logoGoogle Scholar
2007a) LTH: Semantic structure extraction using nonprojective dependency trees. In E. Agirre, L. Màrquez & R. Wicentowski (Eds.), Proceedings of the fourth international workshop on semantic evaluations (pp. 227–230). Stroudsburg, PA: Association for Computational Linguistics. DOI logoGoogle Scholar
2007b) Using WordNet to extend FrameNet coverage. In P. Nugues & R. Johansson (Eds.) Proceedings of the workshop on building frame-semantic resources for Scandinavian and Baltic languages (pp. 27–30).Lund: LU-CS-TR 2007-240.Google Scholar
Johansson, R. (
2012) Non-atomic classification to improve a semantic role labeler for a low-resource language. In E. Agirre, J. Bos, M. Diab, S. Manandhar, Y. Marton & D. Yuret (Eds.), Proceedings of the first joint conference on lexical and computational semantics (pp. 95–99). Stroudsburg, PA: Association for Computational Linguistics.Google Scholar
Johansson, R., Friberg Heppin, K., & Kokkinakis, D. (
2012) Semantic role labeling with the Swedish FrameNet. In N. Calzolari, K. Choukri, T. Declerck, M. U. Doğan, B. Maegaard, J. Mariani, J Odijk & S. Piperidis (Eds.), Proceedings of the eighth conference on international language resources and evaluation (pp. 3697–3700). European Language Resources Association.Google Scholar
Kanerva, P., Kristoffersson, J., & Holst, A. (
2000) Random indexing of text samples for latent semantic analysis. In L. R. Gleitman & A. Joshi (Eds.), Proceedings of the 22nd annual conference of the Cognitive Science Society (p. 1036). Mahwah, NJ: Erlbaum.Google Scholar
Koo, T., Carreras, X., & Collins, M. (
2008) Simple semi-supervised dependency parsing. In J. D. Moore, S. Teufel, J. Allan & S. Furui (Eds.), Proceedings of ACL-08: HLT (pp. 595–603).Stroudsburg, PA: Association for Computational Linguistics.Google Scholar
Manning, C. D., Raghavan, P., & Schütze, H. (
2008) Introduction to information retrieval. Cambridge: Cambridge University Press. DOI logoGoogle Scholar
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (
2013a) Efficient estimation of word representations in vector space. In A. Courville, R. Fergus & C. Manning (Eds.), International conference on learning representations, workshop track. CoRR abs/1301.3781.Google Scholar
Mikolov, T., Yih, W.-t., & Zweig, G. (
2013b) Linguistic regularities in continuous space word representations. In L. Vanderwende, H. Daumé III & K. Kirchhoff (Eds.) Proceedings of the 2013 conference of the North American chapter of the Association for Computational Linguistics: human language technologies (pp. 746–751). Stroudsburg, PA: Association for Computational Linguistics.Google Scholar
Mohammad, S. & Hirst, G. (
2012) Distributional measures of semantic distance: A survey. CoRR abs/1203.1858.Google Scholar
Padó, S. (
2007) Cross-lingual annotation projection models for role-semantic information. Doctoral dissertation. Saarbrücken: Saarland University.Google Scholar
Palmer, A., & Sporleder, C. (
2010) Evaluating FrameNet-style semantic parsing: the role of coverage gaps in FrameNet. In C.-R. Huang & D. Jurafsky (Eds.), Proceedings of the 23rd international conference on computational linguistics: posters (pp. 928–936). Stroudsburg, PA: Association for Computational Linguistics.Google Scholar
Pennacchiotti, M., De Cao, D., Basili, R., Croce, D., & Roth, M. (
2008) Automatic induction of FrameNet lexical units. In M. Lapata & H. T. Ng (Eds.) Proceedings of the 2008 conference on empirical methods in natural language processing (pp. 457–465). Stroudsburg, PA: Association for Computational Linguistics.Google Scholar
Rada, R., Mili, H., Bicknell, E., & Blettner, M. (
1989) Development and application of a metric on semantic nets. IEEE Transactions on Systems, Man, and Cybernetics, 19(1), 17–30. DOI logoGoogle Scholar
Tonelli, S., Giuliano, C., & Tymoshenko, K. (
2013) Wikipedia-based WSD for multilingual frame annotation. Artificial Intelligence, 1941, 203–221. DOI logoGoogle Scholar
Turian, J., Ratinov, L.-A., & Bengio, Y. (
2010) Word representations: A simple and general method for semi-supervised learning. In J. Hajič, S. Carberry, S. Clark & J. Nivre (Eds.) Proceedings of the 48th annual meeting of the Association for Computational Linguistics (pp. 384–394). Stroudsburg, PA: Association for Computational Linguistics.Google Scholar
Velldal, E. (
2011) Random indexing re-hashed. In B. Sandford Pedersen, G. Nešpore & I. Skadiņa (Eds.) Proceedings of the 18th Nordic conference of computational linguistics (pp. 224–229).Tartu: Northern European Association for Language Technology.Google Scholar
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2021. Chapter 2. Swedish FrameNet. In The Swedish FrameNet++ [Natural Language Processing, 14],  pp. 37 ff. DOI logo
Johansson, Richard
2021. Chapter 7. NLP for resource building. In The Swedish FrameNet++ [Natural Language Processing, 14],  pp. 169 ff. DOI logo

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