Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Text Mining at Detail Level Using Conceptual Graphs
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
A Very Large Database of Collocations and Semantic Links
NLDB '00 Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Information Retrieval with Conceptual Graph Matching
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
Discovery of linguistic relations using lexical attraction
Discovery of linguistic relations using lexical attraction
TnT: a statistical part-of-speech tagger
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
A method of linguistic steganography based on collocationally-verified synonymy
IH'04 Proceedings of the 6th international conference on Information Hiding
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Integrating natural language techniques in OO-Method
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Augmenting Word Space Models for Word Sense Discrimination Using an Automatic Thesaurus
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
Dependency syntax analysis using grammar induction and a lexical categories precedence system
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Exploiting web-derived selectional preference to improve statistical dependency parsing
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Matxin, an open-source rule-based machine translation system for Basque
Machine Translation
Heuristic algorithm for extraction of facts using relational model and syntactic data
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
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A method for recognizing syntactic patterns for Spanish is presented. This method is based on dependency parsing using heuristic rules to infer dependency relationships between words, and word co-occurrence statistics (learnt in an unsupervised manner) to resolve ambiguities such as prepositional phrase attachment. If a complete parse cannot be produced, a partial structure is built with some (if not all) dependency relations identified. Evaluation shows that in spite of its simplicity, the parser's accuracy is superior to the available existing parsers for Spanish. Though certain grammar rules, as well as the lexical resources used, are specific for Spanish, the suggested approach is language-independent.