Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
A maximum entropy approach to natural language processing
Computational Linguistics
The Automatic Interpretation of Nominalizations
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
The semantic interpretation of compound nominals
The semantic interpretation of compound nominals
Understanding noun compounds
The analysis of noun sequences using semantic information extracted from on-line dictionaries
The analysis of noun sequences using semantic information extracted from on-line dictionaries
IEEE Transactions on Knowledge and Data Engineering
Using the web to obtain frequencies for unseen bigrams
Computational Linguistics - Special issue on web as corpus
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Web-scale information extraction in knowitall: (preliminary results)
Proceedings of the 13th international conference on World Wide Web
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
A comparison of parsing technologies for the biomedical domain
Natural Language Engineering
Semantic role labeling of nominalized predicates in Chinese
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Interpreting semantic relations in noun compounds via verb semantics
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Models for the semantic classification of noun phrases
CLS '04 Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics
Parsing arguments of nominalizations in English and Chinese
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Measuring semantic similarity by latent relational analysis
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Semantic interpretation of nominalizations
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Automatic interpretation of noun compounds using wordnet similarity
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
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This paper discusses the semantic interpretation of compound nominalizations in Chinese. We propose four coarse-grained semantic roles of the noun modifier and use a Maximum Entropy Model to label such relations in a compound nominalization. The feature functions used for the model are web-based statistics acquired via role related paraphrase patterns, which are formed by a set of word instances of prepositions, support verbs, feature nouns and aspect markers. By applying a sub-linear transformation and discretization of the raw statistics, a rate of approximately 77% is obtained for classification of the four semantic relations.