A Linguistic Investigation into Unsupervised DOP ACL
- Classification:Chemical Auxiliary Agent
- CAS No.:117-84-0
- Other Names:DOP/Dioctyl Phthalate
- MF:C24H38O4, C24H38O4
- EINECS No.:201-557-4
- Purity:99.5% Min
- Type:Adsorbent, Carbon Black
- Usage:PVC Products, Coating Auxiliary Agents, Leather Auxiliary Agents,
- MOQ::10 Tons
- Package:25kg/drum
- Payment:T/T
- Certificate::COA
%0 Conference Proceedings %T A Linguistic Investigation into Unsupervised DOP %A Bod, Rens %Y Buttery, Paula %Y Villavicencio, Aline %Y Korhonen, Anna %S Proceedings of the
Jun 29, 2007Unsupervised Data-Oriented Parsing models (U-DOP) represent a class of structure bootstrapping models that have achieved some of the best unsupervised parsing
A Linguistic Investigation into Unsupervised D OP ACM
- Classification:Chemical Auxiliary Agent
- CAS No.:117-84-0
- Other Names:Liquid DOP, DOP oil
- MF:C24H38O4, C24H38O4
- EINECS No.:201-557-4
- Purity:99.5%min, 99.5%min
- Type:Oil drilling
- Usage:Coating Auxiliary Agents, Leather Auxiliary Agents, Paper Chemicals, Plastic Auxiliary Agents, Rubber Auxiliary Agents
- MOQ::10 Tons
- Package:25kg/drum
- Shape:Powder
- Payment:T/T
- Application:PVC Plasticizer
c 2007 Association for Computational Linguistics A Linguistic Investigation into Unsupervised D OP Rens Bod School of Computer Science University of St Andrews ILLC, University of
Unsupervised Data-Oriented Parsing models (U-DOP) represent a class of structure bootstrapping models that have achieved some of the best unsupervised parsing results in the
A Linguistic Investigation into Unsupervised DOP
- Classification:Chemical Auxiliary Agent
- CAS No.:117-84-0
- Other Names:DOP, Dioctyl phthalate
- MF:C24H38O4
- EINECS No.:201-557-4
- Purity:99.5%, 99% min
- Type:Adsorbent
- Usage:Chemical Auxiliary Agent, Leather Auxiliary Agents
- MOQ::10 Tons
- Package:25kg/drum
- Place of Origin::China
- Advantage:Stable
This U-DOP model can learn both rule-based and exemplar-based aspects of language, ranging from agreement and movement phenomena to discontiguous contructions, provided that
Jun 29, 2007While U-DOP was originally proposed as an engineering approach to language learning (Bod 2005, 2006a), it turns out that the model has a number of properties that may
A Linguistic Investigation into Unsupervised DOP Semantic
- Classification:Chemical Auxiliary Agent, Chemical Auxiliary Agent
- cas no 117-84-0
- Other Names:Liquid DOP, DOP oil
- MF:C24H38O4
- EINECS No.:201-557-4
- Purity:99.9%
- Type:Plastic Auxiliary Agents
- Usage:Plasticizer
- MOQ::10 Tons
- Package:25kg/drum
- Shape:Powder
- Place of Origin::China
- Advantage:Stable
Unsupervised Data-Oriented Parsing models (U-DOP) represent a class of structure bootstrapping models that have achieved some of the best unsupervised parsing results in the
A Linguistic Investigation into Unsupervised DOP Rens Bod. pdf bib Using Classifier Features for Studying the Effect of Native Language on the Choice of Written Second Language Words
Workshop on Cognitive Aspects of Computational
- Classification:Chemical Auxiliary Agent
- CAS No.:117-84-0
- Other Names:DOP
- MF:C24H38O4, C24H38O4
- EINECS No.:201-557-4
- Purity:99%
- Type:Adsorbent, Carbon Black
- Usage:Leather Auxiliary Agents, Plastic Auxiliary Agents, Plasticizer
- MOQ:200kgs
- Package:200kgs/battle
- Model:Dop Oil For Pvc
A Linguistic Investigation into Unsupervised DOP Rens Bod.....1 Using Classifier Features for Studying the Effect of Native Language on the Choice of Written Second Language Words
Download scientific diagram Overall scheme of the model. from publication: A linguistic investigation into unsupervised DOP Unsupervised Data-Oriented Parsing models (U-DOP)
