Learning dictionaries for information extraction by multi-level bootstrapping
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Induction of semantic classes from natural language text
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Multilingual named entity extraction and translation from text and speech
Multilingual named entity extraction and translation from text and speech
Improving machine translation quality with automatic named entity recognition
EAMT '03 Proceedings of the 7th International EAMT workshop on MT and other Language Technology Tools, Improving MT through other Language Technology Tools: Resources and Tools for Building MT
Unsupervised named-entity extraction from the Web: An experimental study
Artificial Intelligence
HMM-based Korean named entity recognition for information extraction
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Reducing question answering input data using named entity recognition
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
Unsupervised named-entity recognition: generating gazetteers and resolving ambiguity
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
SC spectra: a linear-time soft cardinality approximation for text comparison
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Age-related temporal phrases in spanish and french
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
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A task that has been widely studied in the field of natural language processing is the Named Entity Recognition (NER). A great number of approaches have been developed to deal with the identification and classification of named entity strings in specific- and open-domains. Nevertheless, external modules have to be incorporated into many of the NER systems in order to solve the interpretation problems derived from proper nouns. In this article our focus will be on the study of ambiguity in Hispanic Nominal Sequences which constitution assumes three main problems: (1) the association of given names and/or surnames; (2) the composition of such elements by means of a connector; (3) and the duality of given name/surname. In order to analyze the magnitude of the problem, two gazetteers were made, one with 93998 given names and the other with 13779 surnames. The gazetteers entries were used as terminal symbols of the proposed grammar to determine the valid interpretations in the nominal sequences; this is done by means of an automatic labeling of all the elements the nominal sequences are made of.