Báo cáo khoa học: "Arabic Named Entity Recognition: Using Features Extracted from Noisy Data" doc

Báo cáo khoa học: "Arabic Named Entity Recognition: Using Features Extracted from Noisy Data" doc

Báo cáo khoa học: "Arabic Named Entity Recognition: Using Features Extracted from Noisy Data" doc

... July 2010. c 2010 Association for Computational Linguistics Arabic Named Entity Recognition: Using Features Extracted from Noisy Data Yassine Benajiba 1 Imed Zitouni 2 Mona Diab 1 Paolo Rosso 3 1 Center ... system by using lexical, syntactic and morphological fea- tures and augmenting the model with deeper lexi- cal features and more syntagmatic features. These extra fe...

Ngày tải lên: 23/03/2014, 16:20

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Báo cáo khoa học: "Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia" potx

Báo cáo khoa học: "Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia" potx

... that the same information might be ex- pressed using a named entity in one language, and using a non -entity phrase in the other language (e.g. “He is from Bulgaria” versus “He is Bulgarian”). Both ... the projection model using all features. The line above, PM-WF represents the projection model without the Wiki-tagger derived features, and is included to show that the gain fr...

Ngày tải lên: 23/03/2014, 14:20

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Báo cáo khoa học: "Japanese Named Entity Recognition based on a Simple Rule Generator and Decision Tree Learning" pdf

Báo cáo khoa học: "Japanese Named Entity Recognition based on a Simple Rule Generator and Decision Tree Learning" pdf

... Kyoto 619-0237, Japan isozaki@cslab.kecl.ntt.co.jp Abstract Named entity (NE) recognition is a task in which proper nouns and nu- merical information in a document are detected and classified into categories such ... and that it improves readability. 1 Introduction Named entity (NE) recognition is a task in which proper nouns and numerical informa- tion in a document are detected and c...

Ngày tải lên: 08/03/2014, 05:20

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Báo cáo khoa học: "Bootstrapping Named Entity Recognition with Automatically Generated Gazetteer Lists" doc

Báo cáo khoa học: "Bootstrapping Named Entity Recognition with Automatically Generated Gazetteer Lists" doc

... evaluation for the Named Entity detection and classification tasks with and without labeled data are in Sections 4 and 5. We conclude in Section 6. 2 The NER how to A Named Entity Recognition ... classifier performance. This section describes the features used for our Named Entity Recognition task. Feature vectors φ i ={f 1 , ,f n } are constructed. The total number of features...

Ngày tải lên: 24/03/2014, 03:20

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Báo cáo khoa học: "Exploiting Named Entity Taggers in a Second Language" ppt

Báo cáo khoa học: "Exploiting Named Entity Taggers in a Second Language" ppt

... determining boundaries of named entities, we called this process Named Entity Delimitation (NED). Once we have determined which words belong to named entities, we then get to the task of classifying the named en- tities ... what we called Named Entity Classification (NEC). We explain the two procedures in the following subsections. 4.1 Named Entity Delimitation We used the BI...

Ngày tải lên: 17/03/2014, 06:20

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Tài liệu Báo cáo khoa học: A FYVE-containing unusual cyclic nucleotide phosphodiesterase from Trypanosoma cruzi docx

Tài liệu Báo cáo khoa học: A FYVE-containing unusual cyclic nucleotide phosphodiesterase from Trypanosoma cruzi docx

... an unusual PDE from this protozoal organism. This enzyme, TcrPDEC, is a member of the class I PDEs, as determined from the presence of a characteristic signature sequence and from the conservation ... LmPDEC, phosphodiesterase from Leishmania major; PtdIns(3)P, phosphatidyl inositol-3-phosphate; TbPDEC, phosphodiesterase from Trypanosoma brucei; TcrPDEC, phosphodiesterase from Try...

Ngày tải lên: 19/02/2014, 07:20

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Tài liệu Báo cáo khoa học: "Modeling Wisdom of Crowds Using Latent Mixture of Discriminative Experts" docx

Tài liệu Báo cáo khoa học: "Modeling Wisdom of Crowds Using Latent Mixture of Discriminative Experts" docx

... wisdom data to see the most rel- evant speaker features when predicting responses from each individual listener. (The complete list of speaker features are described in Section 4.1.) We used ... Multimodal Speaker Features The speaker videos were transcribed and annotated to extract the following features: Lexical: Some studies have suggested an asso- ciation between lexical featur...

Ngày tải lên: 20/02/2014, 05:20

6 346 0
Tài liệu Báo cáo khoa học: "Modeling Morphologically Rich Languages Using Split Words and Unstructured Dependencies" docx

Tài liệu Báo cáo khoa học: "Modeling Morphologically Rich Languages Using Split Words and Unstructured Dependencies" docx

... 2 gives the total log-probability (using log 2 ) for the split and unsplit datasets using n-gram models of different order. We compute the perplexity of the two datasets using a common denomina- tor: ... suffix forms by using a highly accurate supervised morphological an- alyzer (Yuret and T ¨ ure, 2006): Kasparov b ¨ uk +yAmA+dHk+sH el +sH ¨ op +yAcAk 5. The split+0 version is derived...

Ngày tải lên: 20/02/2014, 09:20

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Tài liệu Báo cáo khoa học: "Towards History-based Grammars: Using Richer Models for Probabilistic Parsing*" docx

Tài liệu Báo cáo khoa học: "Towards History-based Grammars: Using Richer Models for Probabilistic Parsing*" docx

... this model using decision trees. The history-based grammar model provides a mechanism for taking advantage of contextual information from anywhere in the discourse his- tory. Using decision ... vocabulary. We then extracted a few mil- lion words of sentences that are completely cov- ered by this vocabulary from 40,000,000 words of computer manuals. A randomly chosen sentence...

Ngày tải lên: 20/02/2014, 21:20

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Báo cáo khoa học: "The utility of parse-derived features for automatic discourse segmentation" doc

Báo cáo khoa học: "The utility of parse-derived features for automatic discourse segmentation" doc

... approxima- tion features from Section 2.5.3. The “Context-free” system uses the SPADE-inspired features detailed in Section 2.5.2, but none of the features from Sections 2.5.1 or 2.5.3. Finally, the “All features ... and 0 for the other posi- tion features. 2.5.1 Basic finite-state features Our baseline finite-state feature set includes simple tagger derived features, as well as...

Ngày tải lên: 08/03/2014, 02:21

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