- Natural Language Processing
- Machine Translation
- Word Sense
- Word Sense Disambiguation
- Lexical Information
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In Proceedings of A CL Conference on Very Large Corpora, 92–97.
In Proceedings of Conference on Emprical Natural language Processing, 96–97.
In Proceedings of Conference on New Methodologies for Language Processing, 94–96.
Computational Linguistics, Special Issue on Very Large Corpora, 1993.
Ecran: Extraction of content: Research at near-market. Technical report, EC ES-PRIT-LE n. 2110, 1995.
Facile: Fast and accurate categorisation of information by language engineering. Technical report, EC ESPRIT-LE, 1995.
Proceedings of the sixth message understanding conference (muc-6). In Columbia, MD,. Morgan Kaufmann, 1995.
S. Abney. Parsing by chuncks. In Principle-Based Parsing. Kluwer Academic Press, 1991.
H. Alshawi. Qualitative and quantitative models of speech translation. In Proc. of the A CL Workshop, The Balancing Act, Las Cruces, New Mexico, USA, 1994.
D. Appelt, J. Hobbs, J. Bear, D. Israel, and T. Mabry. Fastus: a finite-state pro-cessor for information extraction from real-world text. In Proc. of the International Joint Conference on Artificial Intelligence, 1993.
R. Basili, G. De Rossi, and M.T. Pazienza. Inducing terminology for lexical acqui-sition. In Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, Providence, USA, 1997.
R. Basili, M. Della Rocca, and M.T. Pazienza. Contextual word sense tuning and disambiguation. Journal of Applied Artificial Intelligence, 1996.
R. Basili, M. Della Rocca, M.T. Pazienza, and P. Velardi. Contexts and categories: tuning a general purpose verbclassification to sublanguages. In Proc. of Inter-national Conference on Recent Advances in Natural Language Processing, Tzigov Chark, Bulgaria, 1995.
R. Basili, F. Grisoli, and M.T. Pazienza. Might a semantic lexicon support hyper-textul authoring? In Proc of the 4th A CL Applied Natural Language Processing, Stuttgart (Germany, 1994.
R. Basili, A. Marziali, and M.T. Pazienza. Modelling syntactic uncertainty in lex-ical acquisition from texts. Journal of Quantitative Linguistics, 1, 1994.
R. Basili, A. Marziali, M.T. Pazienza, and P. Velardi. Unsupervised learning of syntactic knowledge: Methods and measures. In Proceedings of the International Conference on Empirical Methods in Natural Language Processing, Philadelfia, Pennsylvania, 1996.
R. Basili, M.T. Pazienza, and P. Velardi. Computational lexicons: the neat ex-amples and the odd exemplars. In Proc. of Third Int. Conf. on Applied Natural Language Processing, Povo, Trento, Italy, 1992.
R. Basili, M.T. Pazienza, and P. Velardi. A shallow syntactic analyzer to extract word associations from corpora. Literary and Linguistic Computing, 7(2), 1992.
R. Basili, M.T. Pazienza, and P. Velardi. Acquisition of selectional patterns. Jour-nal of Machine Translation, 8, 1993.
R. Basili, M.T. Pazienza, and P. Velardi. Semi-automatic extraction of linguistic information for syntactic disambiguation. Applied Artificial Intelligence, 4, 1993.
R. Basili, M.T. Pazienza, and P. Velardi. What can be learned from raw texts? Journal of Machine Translation, 8, 1993.
R. Basili, M.T. Pazienza, and P. Velardi. A context driven conceptual clustering method for verb classification. MIT Press, 1996.
R. Basili, M.T. Pazienza, and P. Velardi. An empirical symbolic approach to nat-ural language processing. Artificial Intelligence, 85, 1996.
R. Basili, M.T. Pazienza, and P. Velardi. Integrating general purpose and corpus-based verb classifications. Computational Linguistics, 1996.
R. Basili, M. Vindigni, and M.T. Pazienza. Corpus-driven unsupervised learning of verb subcategorization frames. In Proc. Of Conference of the Italian Association for Artificial Intelligence, AI*IA 97, Rome, 1997.
R. Bod. Using an annotated corpus as a stochastic grammar. In Proceedings of the European Chapter of A CL (EACL-93), 1993.
B. K. Boguraev and T. Briscoe. Computational Lexicography for Natural Language Processing. Longman Group, 1989.
A. Bolioli, L. Dini, V. Di Tomaso, A. Goy, and D. Sestero. From it to ie through gl. In Proc. of International Workshop on Lexically-Driven Information Extraction, 1997.
E. Brill. A simple rule-based part of speech tagger. In Proc. of the Third Applied Natural Language Processing, Povo, Trento, Italy, 1992.
E. Brill and P. Resnik. A rule based approach to prepositional phrase attachment disambiguation. In Proc. of COLING-94, Kyoto, Japan, 1994.
L. Brown. Class-based language models. Computational Lingustics, 1994.
P. Brown, J. Cocke, S. Della Pietra, V. Della Pietra, F. Jelinek, R. Lafferty J.and Mercer, and P. Rossin. A statistical approach to machine translation. Com-putational Linguistics, 16(2), 1990.
P. Brown, S. Della Pietra, V. Della Pietra, J. Lai, and R. Mercer. An estimate of an upper bound for the entropy of english. Computational Linguistics, 18(1), 1992.
P. Buitelar. A lexicon for underspecified semantic tagging. In Proc. of the Applied Natural Language Processing 97 Workshop on “Tagging text with lexical seman-tics”, 1997.
C. Cardie. Embedded Machine Learning Systems for Natural Language Processing: A General Framework. Lecture Notes in Artificial Intelligence, Springer, 1996. Originally presented at the Workshop on New Approaches to Learning for Natural Language Processing, 14th International Joint Conference on Artificial Intelligence (IJCAI-95), 119–126, 1995. AAAI Press.
J.P. Chanod and P. Tapanainen. A robust finite-state parser for french. In J. Carrol, editor, Proceedings of the ESSLI-96 Workshop on Robust Parsing, Prague, 1996.
K. A. Church. A stochastic parts program and noun phrase parser for unrestricted text. In Proc. of Second Conference on Applied Natural Language Processing, 1988.
M. Collins and J. Brooks. Prepositional phrase attachment trough a backed-off model. In 3rd. A CL Workshop on Very Large Corpora, 1995.
J. Cowie, L. Guthrie, and J. Guthrie. Lexical disambiguation using simulated an-nealing. In Proc. of COLING-92, Nantes, France, 1992.
J. Cowie and W. Lehnert. Information extraction. Special NLP Issue of the Com-munications of the ACM, 1996.
A. Cucchiarelli and P. Velardi. Automatic selection of class labels from a thesaurus for an effective semantic tagging of corpora. In Proc. of Fifth Applied Natural Language Processing, Washington DC, 1997.
H. Cunningham, K. Humphreys, R. Gaizauskas, and J. Wilks. Software infrastruc-ture for natural language processing. In Proc. of Fifth Applied Natural Language Processing, Washington DC, 1997.
I. Dagan, M. Marcus, and S. Markovitch. Contextual word similarity and estima-tion from sparse data. In Proc. of A CL-93, Ohio, USA, 1993.
R. Del Monte. Linguistic and Inferential Processes in text analysis by computer. UniPress, 1992.
M. Even. The relational models of the lexicon. Cambridge University Press, 1989.
A. Franz. A statistical approach to learning prepositional phrase attachment dis-ambiguation. In Proc. of IJCAI-95 WorkShop on “New Approaches to Learning for NLP”, 1995.
R. Gaizauskas, T. Wakao, K. Humphreys, H. Cunningham, and Y. Wilks. Univer-sity of sheffield: Description of the LaSIE System as used for MUC-6. In Proceed-ings of the Sixth Message Understanding Conference (MUC-6), Columbia, Mary-land, USA, November 1995.
R. Grishman. Where is the syntax? In MUC-6, 1996.
R. Grishman and J. Sterling. Generalizing automatically generated selectional pat-terns. In Proc. of COLING-94, Kyoto, Japan, 1994.
L. Guthrie, J. Pustejovsky, Y. Wilks, and B Slator. The role of lexicons in natural language processing. Communications of ACM, 39(1), 1996.
D. Hindle. Acquiring disambiguation rules from text. In Proc. of ACL-89, 1989.
D. Hindle and M. Rooths. Structural ambiguity and lexical relation. Computa-tional Linguistics, 19(1), 1993.
J. Hobbs. The generic information extraction system. In Fourth Message Under-standing Conference, McLean, Virginia, 1992.
P. Jacobs. Text-based intelligent systems. In Working Notes of the AAAI Sympo-sium, Stanford University, 1990.
K. Jensen, G.H. Heidorn, and S.D. Richardson, editors. Natural Language processing: the PLNLP approach. Kluwer Academic, Boston/Dordrecht/London, 1993.
M. Johnston, B.K. Boguraev, and J. Pustejovsky. The acquisition and interpreta-tion iof complex nominals. In Working Notes of AAAI Workshop on “Representa-tion and Acquisition of Lexical Knowledge: Polysemy, Ambiguity and Generativity, Stanford University, CA, 1995.
A. Kilgariff. Foreground and background lexicons and word sense disambiguation for information extraction. In Proc. of International Workshop on Lexically-Driven Information Extraction, 1997.
A. Luk, B. Vauthey, and O. Ansaldi. Acquisition of domain specific salient se-mantic features for information extraction. In Proc. of International Workshop on Lexically-Driven Information Extraction, 1997.
M. Marcus, B. Santorini, and M. A. Marcinkiewicz. Building a large annotated corpus of english: the perm treebank. Computational Linguistics, 19(2), 1993.
S. McRoy. Using multiple knowledge sources for word sense disambiguation. Com-putational Linguistics, 18(1, 1992.
S. Montemagni and L. Vanderwelde. Structural patterns vs. string patterns for ex-tracting semantic information from dictionaries. In Proc. of COLING-92, Nantes, France, 1992.
J. Neumann, J. Backofen, R.and Baur, M. Becker, and C. Braun. An information extraction core system for real-world german text processing. In Proc. of Fifth Conference on Applied Natural Language Processing, Washington DC, USA, 1997.
H.T. Ng and H.B. Lee. Integrating multiple knowledge sources to disambiguate word senses: an exemplar-based approach. In Proc. of ACL-96, 1996.
F. Pereira, N. Tishby, and L. Lee. Distributional clustering of english words. In Proc. of ACL-93, 1993.
C. Pollard and I. Sag. Information Based Syntax and Semantics, Vol 1: Funda-mentals. CSLI n. 13, distributed by Chicago University Press, 1987.
J. Pustejovsky. The generative lexicon. Computational Linguistics, 17, 1991.
J. Pustejovsky. Type Cohercion and Lexical Selection. 1993.
J. Pustejovsky. The Generative Lexicon. MIT Press, 1995.
J. Pustejovsky, S. Bergler, and P. Anick. Lexical semantic techniques for corpus analysis. Computational Linguistics, 19(2), 1993.
P. S. Resnik. Selection and Information: A Class-Based Approach to Lexical Re-lationships. PhD thesis, Pennsylvania University, 1994.
E. Riloff and J. Shepherd. A corpus-based approach for building semantic lexicons. In Proc. of EMNLP-97, Rodhe Island, USA, 1997.
G. Ritchie. The Lexicon. 1987.
G. Salton, A. Wong, and C.S. Yang. A vector space model for automatic indexing. Communications of the ACM, 18(11), 1975.
F. Smadja. Macrocoding the Lexicon with co-occurrence knowledge. Zernik, U.,ed. “Lexical Acquisition” Lawrence Erlbaum, 1991.
J. Sowa. Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, 1984.
J. Sowa. Lexical Structures and Conceptual Structures, chapter 12. J. Pustejovsky Ed., “The Semantics and the Lexicon”, Kluwer, 1993.
Y. Wilks, D. Fass, C.M. Guo, J. McDonald, T. Blate, and B. Slator. Providing Machine Tractable Dictionary Tools, chapter 16. in Pustejovsky ed., “The Seman-tics and the Lexicon”, Kluwer, 1993.
Y. A. Wilks and M. Stevenson. The grammar of sense: Is word-sense tagging much more than part-of-speech tagging ? In Technical Report CS-96-05, University of Sheffield, 1996.
D. Yarowsky. Word sense disambiguation using statistical models of roget's cate-gories trained on large corpora. In Proc. of COLING-92, Nantes, France, 1992.
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Basili, R., Pazienza, M.T. (1997). Lexical acquisition and information extraction. In: Pazienza, M.T. (eds) Information Extraction A Multidisciplinary Approach to an Emerging Information Technology. SCIE 1997. Lecture Notes in Computer Science, vol 1299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63438-X_4
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