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|Year=2010
 
|Year=2010
 
|Month=Juli
 
|Month=Juli
|Booktitle=Proceedings of ACL 2010
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|Booktitle=Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
|Publisher=ACL
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|Pages=907-916
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|Publisher=Association for Computational Linguistics
 
|Note=to appear
 
|Note=to appear
 
}}
 
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{{Publikation Details
 
{{Publikation Details
 
|Abstract=We propose CMSMs, a novel type of generic compositional models for syntactic and semantic aspects of natural language, based on matrix multiplication. We argue for the structural and cognitive plausibility of this model and show that it is able to cover and combine various common compositional NLP approaches ranging from statistical word space models to symbolic grammar formalisms.
 
|Abstract=We propose CMSMs, a novel type of generic compositional models for syntactic and semantic aspects of natural language, based on matrix multiplication. We argue for the structural and cognitive plausibility of this model and show that it is able to cover and combine various common compositional NLP approaches ranging from statistical word space models to symbolic grammar formalisms.
 +
|Download=RuGi-ACL2010.pdf,
 
|Projekt=Multipla
 
|Projekt=Multipla
 
|Forschungsgruppe=Wissensmanagement
 
|Forschungsgruppe=Wissensmanagement

Aktuelle Version vom 14. August 2010, 14:08 Uhr


Compositional Matrix-Space Models of Language


Compositional Matrix-Space Models of Language



Published: 2010 Juli

Buchtitel: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Seiten: 907-916
Verlag: Association for Computational Linguistics

Referierte VeröffentlichungNote: to appear

BibTeX

Kurzfassung
We propose CMSMs, a novel type of generic compositional models for syntactic and semantic aspects of natural language, based on matrix multiplication. We argue for the structural and cognitive plausibility of this model and show that it is able to cover and combine various common compositional NLP approaches ranging from statistical word space models to symbolic grammar formalisms.

Download: Media:RuGi-ACL2010.pdf

Projekt

Multipla



Forschungsgruppe

Wissensmanagement


Forschungsgebiet

Information Retrieval, Natürliche Sprachverarbeitung