Báo cáo khoa học: "Contextualizing Semantic Representations Using Syntactically Enriched Vector Models" ppt

Báo cáo khoa học: "Contextualizing Semantic Representations Using Syntactically Enriched Vector Models" ppt

Báo cáo khoa học: "Contextualizing Semantic Representations Using Syntactically Enriched Vector Models" ppt

... 2010. c 2010 Association for Computational Linguistics Contextualizing Semantic Representations Using Syntactically Enriched Vector Models Stefan Thater and Hagen Fürstenau and Manfred Pinkal Department ... We go one step further, however, in that we employ syntactically enriched vector models as the basic meaning representations, as- suming a vector space spanned by com...

Ngày tải lên: 07/03/2014, 22:20

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Báo cáo khoa học: "Fast Semantic Extraction Using a Novel Neural Network Architecture" docx

Báo cáo khoa học: "Fast Semantic Extraction Using a Novel Neural Network Architecture" docx

... method for semantic role labeling classifies each word of a sentence separately. We do not use any semantic constituent information: if the model is powerful enough, words in the same semantic constituent ... such semantic labels, partly because of their use of a syntactic parser (Pradhan et al., 2004; Gildea and Jurafsky, 2002). Our method in- stead learns a direct mapping from source...

Ngày tải lên: 17/03/2014, 04:20

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Báo cáo khoa học: " Translating Named Entities Using Monolingual and Bilingual Resources" ppt

Báo cáo khoa học: " Translating Named Entities Using Monolingual and Bilingual Resources" ppt

... our goal is to tackle the named en- tity translation problem usingthe same approach de- scribed above, but fully automatically and using the least amount of hard-to-obtain bilingual resources. As ... ranked list of transla- tion candidates using bilingual and monolingual re- sources, which we describe in the Section 3. Then, the list of candidates is re-scored using different monolingua...

Ngày tải lên: 08/03/2014, 07:20

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Báo cáo khoa học: "Sub-sentential Alignment Using Substring Co-Occurrence Counts" ppt

Báo cáo khoa học: "Sub-sentential Alignment Using Substring Co-Occurrence Counts" ppt

... “occurrence vector : a mapping between sentence indexes and the num- ber of occurrences of S in those sentences. This operation takes O(pl-pf), that is O(N(S) ). (Figure 1. shows an occurrence vector ... occurrence vectors V 1 and V 2 for S 1 and S 2 in O(N(S 1 )+|S 1 |*log(T 1 )) and O(N(S 2 )+|S 2 |*log(T 2 )) respectively. With a good implementation, we can use these two ve...

Ngày tải lên: 17/03/2014, 04:20

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Báo cáo khoa học: "Multi-Document Summarization using Sentence-based Topic Models" docx

Báo cáo khoa học: "Multi-Document Summarization using Sentence-based Topic Models" docx

... Randomly initialize U and V, and normalize them 2: repeat 3: Update U using Eq. (3); 4: Update V using Eq. (4); 5: Compute  f using Eq. (2); 6: until  f converges. 3.2 Algorithm Procedure The ... Then, we define some notations for the up- date rules. Definition 2 We call vector y of size K is the Dirichlet adjustment of vector x of size K with re- spect to Dirichlet distribution D K...

Ngày tải lên: 23/03/2014, 17:20

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Báo cáo khoa học: " Automatic Verb Classification Using Distributions of Grammatical Features" ppt

Báo cáo khoa học: " Automatic Verb Classification Using Distributions of Grammatical Features" ppt

... yield a vector for each verb that represents the relative frequency values for the verb on each dimension; the set of 59 vectors constitute the data for our machine learning experiments. Vector ... are syntactic cues to semantic classes, ~We are aware that a distributional approach rests on one strong assumption on the nature of the rep- resentations under study: semantic notion...

Ngày tải lên: 31/03/2014, 21:20

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Báo cáo khoa học: "Combining Speech Retrieval Results with Generalized Additive Models" pptx

Báo cáo khoa học: "Combining Speech Retrieval Results with Generalized Additive Models" pptx

... In this study, we partially abstract away from this poten- tial difficulty by using the same retrieval system on both representations of the collection documents (so that we don’t expect score distributions ... systems could be modeled using a Normal distribution for relevant documents and ex- ponential distribution for non-relevant documents. However, in their study, fusion results usi...

Ngày tải lên: 08/03/2014, 01:20

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Tài liệu Báo cáo khoa học: "Extracting Semantic Orientations of Words using Spin Model" pdf

Tài liệu Báo cáo khoa học: "Extracting Semantic Orientations of Words using Spin Model" pdf

... 133–140, Ann Arbor, June 2005. c 2005 Association for Computational Linguistics Extracting Semantic Orientations of Words using Spin Model Hiroya Takamura Takashi Inui Manabu Okumura Precision and Intelligence ... re- garded the difference of two association strengths as a measure of semantic orientation. They also pro- posed to use Latent Semantic Analysis to compute the association...

Ngày tải lên: 20/02/2014, 15:20

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Tài liệu Báo cáo khoa học: "Improving Pronoun Resolution Using Statistics-Based Semantic Compatibility Information" doc

Tài liệu Báo cáo khoa học: "Improving Pronoun Resolution Using Statistics-Based Semantic Compatibility Information" doc

... those under the SC model using either un-normalized semantic fea- tures (1.6% and 3.3%), or normalized semantic fea- tures (2.0% and 4.9%). Although under SC, the nor- malized semantic feature could ... utility of the statistics-based semantic feature is more salient under TC than under SC for N-Pron res- olution: the best gains using the corpus-based and the web-based semantic...

Ngày tải lên: 20/02/2014, 15:20

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Báo cáo khoa học: "Detecting Semantic Relations between Named Entities in Text Using Contextual Features" pdf

Báo cáo khoa học: "Detecting Semantic Relations between Named Entities in Text Using Contextual Features" pdf

... “Ken 11 ” and “Tokyo 12 ” have a semantic relation “umareta 15 (was born)”. Meanwhile, the pair “Ken 11 ” and “New York 14 ” has no semantic relation. Therefore, using whether the antecedent NE ... advanced that named entity (NE) taggers are in practical use. Researchers are now focusing on extracting semantic relations between NEs, such as “George Bush (person)” is “president (relati...

Ngày tải lên: 17/03/2014, 04:20

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