Tài liệu Báo cáo khoa học: "Fast Online Lexicon Learning for Grounded Language Acquisition" pdf

Tài liệu Báo cáo khoa học: "Fast Online Lexicon Learning for Grounded Language Acquisition" pdf

Tài liệu Báo cáo khoa học: "Fast Online Lexicon Learning for Grounded Language Acquisition" pdf

... Association for Computational Linguistics, pages 430–439, Jeju, Republic of Korea, 8-14 July 2012. c 2012 Association for Computational Linguistics Fast Online Lexicon Learning for Grounded Language ... of the Association for Computational Linguistics (ACL-10). Luke S. Zettlemoyer and Michael Collins. 2007. Online learning of relaxed CCG grammars for parsing to logi-...

Ngày tải lên: 19/02/2014, 19:20

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Tài liệu Báo cáo khoa học: "Multi-Task Active Learning for Linguistic Annotations" pdf

Tài liệu Báo cáo khoa học: "Multi-Task Active Learning for Linguistic Annotations" pdf

... performed about the same as random selection for the NE task, while for the parsing task extrinsic selection per- formed markedly worse. This shows that examples that were very informative for ... were not that informative for the parse learner. 2.3 Protocols for Multi-Task AL Obviously, we can expect one-sided selection to per- form better for the reference learner (the one for...

Ngày tải lên: 20/02/2014, 09:20

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Tài liệu Báo cáo khoa học: "Exploiting Non-local Features for Spoken Language Understanding" pptx

Tài liệu Báo cáo khoa học: "Exploiting Non-local Features for Spoken Language Understanding" pptx

... improve performance on the statistical spoken language understanding (SLU) problem. The statistical natural language parsers trained on text perform unreliably to encode non-local informa- tion ... in vari- ous natural language tasks. Thus, we need new methods to import non-local information into se- quential models. There are two types of method for using non- local information. One...

Ngày tải lên: 20/02/2014, 12:20

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Tài liệu Báo cáo khoa học: "Refined Lexicon Models for Statistical Machine Translation using a Maximum Entropy Approach" pptx

Tài liệu Báo cáo khoa học: "Refined Lexicon Models for Statistical Machine Translation using a Maximum Entropy Approach" pptx

... language. Those lexicon models lack from context infor- mation that can be extracted from the same paral- lel corpus. This additional information could be: Simple context information: information of the ... formulated as fol- lows: A source language string is to be translated into a target language string . In the experiments reported in this paper, the source language is German and...

Ngày tải lên: 20/02/2014, 18:20

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Tài liệu Báo cáo khoa học: "A Terminological Simplification Transformation for Natural Language Question-Answering Systems" doc

Tài liệu Báo cáo khoa học: "A Terminological Simplification Transformation for Natural Language Question-Answering Systems" doc

... exists for physician SPECIALTIES, we can nonetheless give a rule for this predicate in way that is uniform with the rule given for the predicate PATIENTS. 2This term, while a standard one in formal ... issues for natural -language systems which serve as interfaces to a database: the problems that arise in a module which maps the meaning representation to a second logical lang...

Ngày tải lên: 21/02/2014, 20:20

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Tài liệu Báo cáo khoa học: "Collaborative Machine Translation Service for Scientific texts" pdf

Tài liệu Báo cáo khoa học: "Collaborative Machine Translation Service for Scientific texts" pdf

... article in PDF format 3 on the system. • The document is processed by the open- source Grobid tool (see section 3) to extract 3 The commonly used publishing format is PDF files while authoring format ... approach is to work on the PDF file and not on these source formats. The rationale being that 1/ the source format is almost never available, 2/ even if we had access to the source format...

Ngày tải lên: 22/02/2014, 03:20

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Tài liệu Báo cáo khoa học: "Fast and Robust Part-of-Speech Tagging Using Dynamic Model Selection" pptx

Tài liệu Báo cáo khoa học: "Fast and Robust Part-of-Speech Tagging Using Dynamic Model Selection" pptx

... performance. The premise of this dynamic model selection is that the domain-specific model performs better for input sentences similar to its training space, whereas the generalized model performs ... classes are derived selectively for our case. Given a word-form, we count how often each POS tag is used with the form and keep only ones above a certain threshold. For both generalized and...

Ngày tải lên: 19/02/2014, 19:20

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Tài liệu Báo cáo khoa học: "A Mobile Touchable Application for Online Topic Graph Extraction and Exploration of Web Content" ppt

Tài liệu Báo cáo khoa học: "A Mobile Touchable Application for Online Topic Graph Extraction and Exploration of Web Content" ppt

... 2011. c 2011 Association for Computational Linguistics A Mobile Touchable Application for Online Topic Graph Extraction and Exploration of Web Content G ¨ unter Neumann and Sven Schmeier Language Technology ... can explore in an uniform way both new information nuggets and validated back- ground information nuggets interactively. Fig. 1 summarizes the main components and the informa-...

Ngày tải lên: 20/02/2014, 05:20

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Tài liệu Báo cáo khoa học: "Fast Unsupervised Incremental Parsing" pdf

Tài liệu Báo cáo khoa học: "Fast Unsupervised Incremental Parsing" pdf

... unsupervised learning algorithm for inducing this parser from plain text. The parser uses a representation for syntactic structure similar to dependency links which is well-suited for incremental ... restricts the search space for both learning and parsing. The represen- tation the parser uses is designed for incremental parsing and allows a prefix of an utterance to be parsed be...

Ngày tải lên: 20/02/2014, 12:20

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Tài liệu Báo cáo khoa học: "Logistic Online Learning Methods and Their Application to Incremental Dependency Parsing" doc

Tài liệu Báo cáo khoa học: "Logistic Online Learning Methods and Their Application to Incremental Dependency Parsing" doc

... methods for online machine learning algorithms. The update methods are based on a multinomial logistic model. Their performance is on par with other state-of-the-art on- line learning algorithms for ... 1999). Algorithm 1 General form of online algorithms input Training set T = {(x t , y t )} T t=1 Number of iterations N for n in 1 N for (x t , y t ) in T Compute update vector...

Ngày tải lên: 20/02/2014, 12:20

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