The disambiguation of nominalizations
Computational Linguistics
The semantic interpretation of compound nominals
The semantic interpretation of compound nominals
Corelex: systematic polysemy and underspecification
Corelex: systematic polysemy and underspecification
Semi-automatic recognition of noun modifier relationships
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Algorithm for automatic interpretation of noun sequences
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Base Noun Phrase translation using web data and the EM algorithm
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Models for the semantic classification of noun phrases
CLS '04 Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics
Translation by machine of complex nominals: getting it right
MWE '04 Proceedings of the Workshop on Multiword Expressions: Integrating Processing
Extended gloss overlaps as a measure of semantic relatedness
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
The knowledge required to interpret noun compounds
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Using measures of semantic relatedness for word sense disambiguation
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Automatic interpretation of noun compounds using wordnet similarity
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
A concept-centered approach to noun-compound interpretation
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Semantic labeling of compound nominalization in Chinese
MWE '07 Proceedings of the Workshop on a Broader Perspective on Multiword Expressions
Automatic semantic relation extraction with multiple boundary generation
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
UCB: system description for SemEval task #4
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
UTH: SVM-based semantic relation classification using physical sizes
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
SemEval-2010 task 9: the interpretation of noun compounds using paraphrasing verbs and prepositions
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
Identifying semantic relations in Japanese compound nouns for patent documents analysis
LKR'08 Proceedings of the 3rd international conference on Large-scale knowledge resources: construction and application
A knowledge-rich approach to identifying semantic relations between nominals
Information Processing and Management: an International Journal
SemEval-2010 task 9: The interpretation of noun compounds using paraphrasing verbs and prepositions
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
UCD-Goggle: A hybrid system for noun compound paraphrasing
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Large-scale noun compound interpretation using bootstrapping and the web as a corpus
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Word sense and semantic relations in noun compounds
ACM Transactions on Speech and Language Processing (TSLP) - Special issue on multiword expressions: From theory to practice and use, part 2
Semantic interpretation of noun compounds using verbal and other paraphrases
ACM Transactions on Speech and Language Processing (TSLP) - Special issue on multiword expressions: From theory to practice and use, part 2
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We propose a novel method for automatically interpreting compound nouns based on a predefined set of semantic relations. First we map verb tokens in sentential contexts to a fixed set of seed verbs using WordNet::Similarity and Moby's Thesaurus. We then match the sentences with semantic relations based on the semantics of the seed verbs and grammatical roles of the head noun and modifier. Based on the semantics of the matched sentences, we then build a classifier using TiMBL. The performance of our final system at interpreting NCs is 52.6%.