Báo cáo khoa học: "Predicting Part-of-Speech Information about Unknown Words using Statistical Methods" pptx

Báo cáo khoa học: "Predicting Part-of-Speech Information about Unknown Words using Statistical Methods" pptx

Báo cáo khoa học: "Predicting Part-of-Speech Information about Unknown Words using Statistical Methods" pptx

... Predicting Part-of-Speech Information about Unknown Words using Statistical Methods Scott M. Thede Purdue University West Lafayette, IN 47907 Abstract This paper examines the feasibility of using ... sta- tistical methods to train a part-of-speech pre- dictor for unknown words. By using statistical methods, without incorporating hand-crafted linguistic info...

Ngày tải lên: 31/03/2014, 04:20

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Báo cáo khoa học: "Semantic Role Labeling Systems for Arabic using Kernel Methods" pptx

Báo cáo khoa học: "Semantic Role Labeling Systems for Arabic using Kernel Methods" pptx

... a semitic language. It is known for its templatic mor- phology where words are made up of roots and af- fixes. Clitics agglutinate to words. Clitics include prepositions, conjunctions, and pronouns. In ... Syntactic Case is marked using short vowels u, and i at the end of the word. Hence, rjlu and AlTwylu agree in their Case ending 5 With- out the explicit marking of the Case information...

Ngày tải lên: 31/03/2014, 00:20

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Báo cáo khoa học: "Predicting Barge-in Utterance Errors by using Implicitly Supervised ASR Accuracy and Barge-in Rate per User" pot

Báo cáo khoa học: "Predicting Barge-in Utterance Errors by using Implicitly Supervised ASR Accuracy and Barge-in Rate per User" pot

... tackled this problem by developing ASR confidence mea- sures based on utterance-level information and dialogue-level information (Litman et al., 1999; Walker et al., 2000). Especially in systems de- ployed ... estimated ASR accuracy by using the user’s utterance history, as follows: (Estimated ASR accuracy) = 2 × (#affirmatives)+(#negatives) (#all utterances) (1) 2.3 Predicting Errors by...

Ngày tải lên: 23/03/2014, 17:20

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Báo cáo khoa học: "A Re-examination of Query Expansion Using Lexical Resources" pptx

Báo cáo khoa học: "A Re-examination of Query Expansion Using Lexical Resources" pptx

... remains unclear whether using only information from hand-crafted thesauri would help to improve the retrieval performance. Another way to improve retrieval performance using WordNet is to disambiguate ... discuss six possible term similarity functions based on the information provided by WordNet. Since the definition provides valuable information about the semantic meaning of a ter...

Ngày tải lên: 17/03/2014, 02:20

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Báo cáo khoa học: "Semantic classification of Chinese unknown words" pdf

Báo cáo khoa học: "Semantic classification of Chinese unknown words" pdf

... with the probabil- ity (partial) 3 Corpus analysis of Chinese unknown words 3.1 Definition of unknown words Unknown words are the Sinica Corpus lexicons that are not listed in the Chinese ... valuable information in a sentence, the majority of unknown words in Chinese are lexical words, and consequently, it is also important to classify lexical words. If not, th...

Ngày tải lên: 31/03/2014, 03:20

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Tài liệu Báo cáo khoa học: It is all about resolution Meeting report based upon presentations at the 10th International Global BioMillennium 2006 symposium on molecular cell biology (Tbilisi, Georgia) docx

Tài liệu Báo cáo khoa học: It is all about resolution Meeting report based upon presentations at the 10th International Global BioMillennium 2006 symposium on molecular cell biology (Tbilisi, Georgia) docx

... import complexes using gold-labeled substrates. Nuclear export emerges as the major regulatory mechanism of the nuclear accumulation of STAT2, as H. Soreq and A. Honigman It is all about resolution FEBS ... recognize the methylated epitope and propagate the silent state. Together, these observations Keywords alternative splicing; cellular imaging; chromatin; ribosomes; siRNA; ubiquitin Co...

Ngày tải lên: 19/02/2014, 02:20

4 515 1
Tài liệu Báo cáo khoa học: Exploiting Social Information in Grounded Language Learning via Grammatical Reductions"" docx

Tài liệu Báo cáo khoa học: Exploiting Social Information in Grounded Language Learning via Grammatical Reductions"" docx

... T  Collocs t → Colloc None (Collocs t ) ∀t ∈ T Colloc t → Words t ∀t ∈ T  Words t → Word t (Words t ) ∀t ∈ T  Words t → Word None (Words t ) ∀t ∈ T Word t → Word ∀t ∈ T  Word → w ∀w ∈ W Figure ... (c i ) NotTopical c i+1 i = 1, . . . ,  − 1 NotTopical c  → (c  ) # Words t → Word None (Words t ) ∀t ∈ T  Words t → Word t (Words t ) ∀t ∈ T Word t → w ∀t ∈ T  , w ∈ W Fi...

Ngày tải lên: 19/02/2014, 19:20

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Tài liệu Báo cáo khoa học: "Predicting Relative Prominence in Noun-Noun Compounds" pptx

Tài liệu Báo cáo khoa học: "Predicting Relative Prominence in Noun-Noun Compounds" pptx

... Pointwise Mutual Information (PMI): Defined as a measure of how collocated two words are, it is measured as the log of the ratio of probabil- ity of the joint event of the two words occurring and ... prominence in NN compounds via statistical corpus-driven methods. We constructed automatic prediction models using feature sets based on two different theories about relative prominenc...

Ngày tải lên: 20/02/2014, 05:20

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Tài liệu Báo cáo khoa học: "Predicting Unknown Time Arguments based on Cross-Event Propagation" ppt

Tài liệu Báo cáo khoa học: "Predicting Unknown Time Arguments based on Cross-Event Propagation" ppt

... (Edmundson, 1969). 4.2 Statistical Learning based Prediction In addition, we take a more general statistical approach to capture the cross-event relations and predict unknown time arguments. ... locative dimension, typical about an unfolding situation. Various situations are evolv- ing, updated, repeated and corrected in different event mentions. Here later information may o...

Ngày tải lên: 20/02/2014, 09:20

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Tài liệu Báo cáo khoa học: "Predicting Success in Dialogue" doc

Tài liệu Báo cáo khoa học: "Predicting Success in Dialogue" doc

... features to predict task success in an environment where we assume no speaker model, no semantic information and no information typical for a human-computer dialogue system, e.g., ASR confidence. The fea- tures ... se- lected words w, the model estimates P (+adapt) = P (w ∈ target|w ∈ prime) P (+adapt) is higher than P prior = P (w ∈ target), which is not surprising, since texts are usu-...

Ngày tải lên: 20/02/2014, 12:20

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