Automatic labeling of semantic roles
Computational Linguistics
A model for matching semantic maps between languages (French/English, English/French)
Computational Linguistics
Stochastic inversion transduction grammars and bilingual parsing of parallel corpora
Computational Linguistics
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Bootstrapping a multilingual part-of-speech tagger in one person-day
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Maximum entropy models for FrameNet classification
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Optimal constituent alignment with edge covers for semantic projection
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Cross-linguistic projection of role-semantic information
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Robust word sense translation by EM learning of frame semantics
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
A FrameNet-based semantic role labeler for Swedish
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Semi-supervised semantic role labeling
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Cross-lingual bootstrapping of semantic lexicons: the case of FrameNet
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Cross-lingual annotation projection of semantic roles
Journal of Artificial Intelligence Research
Probabilistic frame-semantic parsing
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Semi-supervised frame-semantic parsing for unknown predicates
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Populating framenet with chinese verbs mapping bilingual ontological wordnet with framenet
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Semi-supervised semantic role labeling via structural alignment
Computational Linguistics
Cross-Lingual alignment of framenet annotations through hidden markov models
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
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We present a novel automatic approach to constructing a bilingual semantic network---the BiFrameNet, to enhance statistical and transfer-based machine translation systems. BiFrameNet is a frame semantic representation, and contains semantic structure transfers between English and Chinese. The English FrameNet and the Chinese HowNet provide us with two different views of the semantic distribution of lexicon by linguists. We propose to induce the mapping between the English lexical entries in FrameNet to Chinese word senses in HowNet, furnishing a bilingual semantic lexicon which simulates the "concept lexicon" supposedly used by human translators, and which can thus be beneficial to machine translation systems. BiFrameNet also contains bilingual example sentences that have the same semantic roles. We automatically induce Chinese example sentences and their semantic roles, based on semantic structure alignment from the first stage of our work, as well as shallow syntactic structure. In addition to its utility for machine-aided and machine translations, our work is also related to the spatial models proposed by cognitive scientists in the framework of artifactual simulations of the translation process.