Abney, S. (1991) Parsing by chunks. In: Berwick, R., Abney, S. and Tenny, C. (eds.), Principle-Based Parsing. Kluwer Academic.
Aone, C. and McKee, D. (1996) Acquiring predicate-argument mapping information in multilingual texts. In: Boguraev, B. and Pustejovsky, J. (eds.), Corpus Processing for Lexical Acquisition, pp. 191–202. MIT Press.
Baker, C. F., Fillmore, C. J. and Lowe, J. B. (1998) The Berkeley FrameNet Project. Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics (COLING/ACL-1998), pp. 86–90.
Brent, M. (1993) From grammar to lexicon: Unsupervised learning of lexical syntax. Computational Linguistics, 19 (3): 243–262.
Briscoe, T. and Carroll, J. (1993) Generalised probabilistic LR parsing of natural language (corpora) with unification-based grammars. Computational Linguistics, 19 (1): 25–60.
Briscoe, T. and Carroll, J. (1997) Automatic extraction of subcategorization from corpora. Proceedings of the Fifth ACL Conference on Applied Natural Language Processing (ANLP-97), pp. 356–363, Washington, DC.
Dorr, B. J. and Jones, D. (1996) Role of word sense disambiguation in lexical acquisition: Predicting semantics from syntactic cues. Proceedings of the 16th International Conference on Computational Linguistics (COLING-96), pp. 322–327, Copenhagen, Denmark.
Dowty, D. R. (1991) Thematic proto-roles and argument selection. Language, 67 (3): 547–619.
Erk, K., Melinger, A. and Schulte im Walde, S. (eds.) (2005) Proceedings of the Interdisciplinary Workshop on the Identification and Representation of Verb Features and Verb Classes. Saarbrücken, Germany.
Gildea, D. (2002) Probabilistic models of verb-argument structure. Proceedings of the 19th International Conference on Computational Linguistics (COLING-2002), pp. 308–314, Taipei, Taiwan.
Gildea, D. and Jurafsky, D. (2002) Automatic labeling of semantic roles. Computational Linguistics, 28 (3): 245–288.
Girju, R., Roth, D. and Sammons, M. (2005) Token-level disambiguation of verbnet classes. (Erk et al. 2005), pp. 56–61.
Habash, N., Dorr, B. J. and Traum, D. (2003) Hybrid natural language generation from lexical conceptual structures. Machine Translation, 18 (2): 81–128.
Hsu, C.-W. and Lin, C.-J. (2002) A comparison of methods for multi-class support vector machines. IEEE Transactions on Neural Networks, 13 (2): 415–425.
Iglewicz, B. (1983) Robust scale estimators and confidence intervals for location. In: Hoaglin, D. C., Mosteller, M. and Tukey, J. W. (eds.), Understanding Robust and Exploratory Data Analysis. Wiley.
Joanis, E. (2002) Automatic verb classification using a general feature space. Master's thesis, Department of Computer Science, University of Toronto.
Joanis, E. and Stevenson, S. (2003) A general feature space for automatic verb classification. Proceedings of the Tenth Conference of the European Chapter of the Association for Computational Linguistics (EACL-03), pp. 163–170, Budapest, Hungary.
Kipper, K., Dang, H. T. and Palmer, M. (2000) Class based construction of a verb lexicon. Proceedings of the 17th National Conference on Artificial Intelligence (AAAI-2000), Austin, TX.
Kipper, K., Korhonen, A., Ryant, N. and Palmer, M. (2006) A large-scale extension of VerbNet with novel verb classes. Proceedings of the 12th EURALEX International Congress, Turin, Italy.
Korhonen, A. (2002) Semantically motivated subcategorization acquisition. Proceedings of the ACL Workshop on Unsupervised Lexical Acquisition, pp. 51–58.
Korhonen, A. and Briscoe, T. (2004) Extended lexical-semantic classification of english verbs. Proceedings of the HLT/NAACL Workshop on Computational Lexical Semantics, pp. 38–45.
Lapata, M. and Brew, C. (1999) Using subcategorization to resolve verb class ambiguity. In: Fung, P. and Zhou, J. (eds.), Joint SIGDAT Conference on Empirical Methods in NLP and Very Large Corpora (EMNLP/VLC-99), pp. 266–274.
Lapata, M. and Brew, C. (2004) Verb class disambiguation using informative priors. Computational Linguistics, 30 (1): 45–73.
Levin, B. (1993) English verb classes and alternations: A preliminary investigation. University of Chicago Press.
Mayol, L., Boleda, G. and Badia, T. (2005) Automatic learning of syntactic verb classes. (Erk et al. 2005), pp. 92–97.
McCarthy, D. (2000) Using semantic preferences to identify verbal participation in role switching alternations. Proceedings of the First Conference of the North American Chapter of the ACL (NAACL-2000), pp. 256–263, Seattle, WA.
McCarthy, D., Koeling, R., Weeds, J. and Carroll, J. (2004) Finding predominant senses in untagged text. Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL-2004), pp. 280–287, Barcelona, Spain.
Merlo, P. and Stevenson, S. (2001) Automatic verb classification based on statistical distributions of argument structure. Computational Linguistics, 27 (3): 373–408.
Merlo, P., Stevenson, S., Tsang, V. and Allaria, G. (2002) A multilingual paradigm for automatic verb classification. Proceedings of the 40th Annual Meeting of the ACL, pp. 207–214, Philadelphia, PA.
Oishi, A. and Matsumoto, Y. (1997) Detecting the organization of semantic subclasses of Japanese verbs. Int. J. Corpus Linguistics, 2 (1): 65–89.
Palmer, M., Gildea, D. and Kingsbury, P. (2005) The Proposition Bank: An annotated corpus of semantic roles. Computational Linguistics, 31 (1): 71–106.
Pinker, S. (1989) Learnability and cognition: the acquisition of argument structure. MIT Press.
Resnik, P. (1996) Selectional constraints: an information-theoretic model and its computational realization. Cognition, 61 (1–2): 127–159.
Rifkin, R. and Klautau, A. (2004) In defense of one-vs-all classification. J. Machine Learning Res. 5 (Jan): 101–141.
Riloff, E. and Schmelzenbach, M. (1998) An empirical approach to conceptual case frame acquisition. Proceedings of the Sixth Workshop on Very Large Corpora (WVLC-98), pp. 49–56, Montreal, Canada.
Rooth, M., Riezler, S., Prescher, D., Carroll, G. and Beil, F. (1999) Inducing a semantically annotated lexicon via EM-based clustering. Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics, pp. 104–111, College Park, MD.
Sarkar, A. and Tripasai, W. (2002) Learning verb argument structure from minimally annotated corpora. Proceedings of the 19th International Conference on Computational Linguistics (COLING-2002), pp. 864–869, Taipei, Taiwan.
Sarle, W. S. (2002) Should I nonlinearly transform the data? Neural Network FAQ, part 2 of 7: Learning. Periodic posting to the Usenet newsgroup comp.ai.neural-nets, URL: ftp://ftp.sas.com/pub/neural/FAQ.html.
Schulte im Walde, S. (2000) Clustering verbs semantically according to their alternation behaviour. Proceedings of the 18th International Conference on Computational Linguistics (COLING-2000), pp. 747–753, Saarbrücken, Germany.
Schulte im Walde, S. (2003) Experiments on the choice of features for learning verb classes. Proceedings of the Tenth Conference of the European Chapter of the Association for Computational Linguistics (EACL-2003), pp. 315–322, Budapest, Hungary.
Schulte im Walde, S. and Brew, C. (2002) Inducing German semantic verb classes from purely syntactic subcategorisation information. Proceedings of the 40th Annual Meeting of the ACL, pp. 223–230, Philadelphia, PA.
Shi, L. and Mihalcea, R. (2005) Putting pieces together: Combining FrameNet, VerbNet and WordNet for robust semantic parsing. In: Gelbukh, A. (ed.), Computational Linguistics and Intelligent Text Processing; Sixth International Conference, CICLing 2005, Proceedings, Lecture Notes in Computer Science, vol 3406, pp. 100–111, Mexico City, Mexico.
Stevenson, S. and Joanis, E. (2003) Semi-supervised verb class discovery using noisy features. Proceedings of the Seventh Conference on Natural Language Learning (CoNLL-2003), pp. 71–78, Edmonton, Canada.
Stevenson, S. and Merlo, P. (1999) Automatic verb classification using grammatical features. Proceedings of the Ninth Conference of the European Chapter of the Association for Computational Linguistics (EACL-99), pp. 45–52, Bergen, Norway.
Stevenson, S., Merlo, P., Kariaeva, N. and Whitehouse, K. (1999) Supervised learning of lexical semantic verb classes using frequency distributions. Proceedings of SigLex99: Standardizing Lexical Resources, pp. 15–22, College Park, MD.
Swier, R. and Stevenson, S. (2004) Unsupervised semantic role labelling. Proceedings of the 2004 Conference on Emperical Methods in Natural Language Processing, pp. 95–102, Barcelona, Spain.
Swift, M. (2005) Towards automatic verb acquisition from VerbNet for spoken dialog processing. (Erk et al. 2005), pp. 115–120.
Tsang, V. and Stevenson, S. (2004) Calculating semantic distance between word sense probability distributions. Proceedings of the Eighth Conference on Computational Natural Language Learning (CoNLL-2004), pp. 81–88, Boston, MA.
Villavicencio, A. (2005) The availability of verb-particle constructions in lexical resources: How much is enough? Computer Speech and Language, Special Issue on Multiword Expressions, 19 (4): 415–432.