a machine learning approach for identifying disease treatment relations in short texts pdf
Báo cáo khoa học: "A Machine Learning Approach to German Pronoun Resolution" docx
... pronominal andotherwise, has been a popular research area in Natural Language Processing for more than twodecades, with extensive documentation of boththe rule-based and the machine learning approach. For ... system are summarised in Table 4.3. The individual features for anaphor A Machine Learning Approach to German Pronoun ResolutionBeata KouchnirDepartment of Computational LinguisticsTăubingen ... the an-tecedentdist distance in markablesbetween anaphor and an-tecedent (1 20)same agr same agreement of anaphorand antecedent?same gramrole same grammatical role ofanaphor and antecedent?same...
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Báo cáo khoa học: "A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue" docx
... embedding in a sentence6. anagram func grammatical function of anaphor7. ananpform form of anaphor8. anaagree person, gender, number9. anacase grammatical case of anaphor10. anas depth ... contained an NP-markable at the current posi-tion and if this markable was not an indefinite nounphrase, it was considered a potential anaphor. In that case, pairs of potentially coreferring ... grammatical case and thedepth of embedding in the syntactical structure. For these features, each instance contains onevalue for the antecedent and one for the anaphor.Coreference-level features,...
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Báo cáo khoa học: "A machine-learning approach to the identification of WH gaps" doc
... A machine- learning approach to the identification of WH gapsDerrick HigginsEducational Testing Servicedchiggin@alumni.uchicago.eduAbstract In this paper, we pursue a multi-modular, statistical ... identifying gaps could also aid in automatic lexical acquisition techniques. Manyother applications are imaginable as well, usingthe gap location to inform intonation, semantics,collocation ... this paper consists in the de-velopment of a machine- learning approach to theidentification of WH gaps. This approach reducesthe lexical prerequisites for this task, while main-taining a high...
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Báo cáo khoa học: "A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation" ppt
... Brockett.2001. A machine learning approach to the automatic eval-uation of machine translation. In Proceedings of the 39thAnnual Meeting of the Association for Computational Lin-guistics, July.Thorsten ... Gildea. 2005. Syntactic features for evaluation of machine translation. In ACL 2005 Workshopon Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization, June.Ding ... Evaluation with Machine Learning A good automatic evaluation metric can be seen as a computational model that captures a human’s de-cision process in making judgments about the ade-quacy and...
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Báo cáo khoa học: "A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity" pdf
... prize award domain. One of the target relations in the domain is about a person who obtains a special prize in a cer-tain area in a certain year, namely, a quaternary tuple, see (3). (4) is a ... (6) in a straightforward way. 4.2 Rule Validation: Ranking and Filtering Our ranking strategy has incorporated the ideas proposed by Riloff (1996), Agichtein and Gravano (2000), Yangarber ... Abstract A minimally supervised machine learning framework is described for extracting rela-tions of various complexity. Bootstrapping starts from a small set of n-ary relation in- stances...
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Tài liệu Báo cáo khoa học: A systems biology approach for the analysis of carbohydrate dynamics during acclimation to low temperature in Arabidopsis thaliana doc
... Lundmark M, Cavaco AM, Trevanion S & Hurry V(2006) Carbon partitioning and export in transgenicArabidopsis thaliana with altered capacity for sucrosesynthesis grown at low temperature: a ... gasanalysis system (Uras 3 G; Hartmann & Braun AG, Frank-furt am Main, Germany). A whole-rosette cuvette designwas used as described in [31]. Gas exchange was measured in the growth chamber ... simulation A mathematical model was developed, representing centralcarbohydrate metabolism in leaves of A. thaliana. Themodel was based on the following system of ordinary dif-ferential equations...
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Báo cáo " An integrated approach for an academic advising system in adaptive credit-based learning environment " ppt
... framework, the learning data warehouse plays a key part with information about learners’ behavior and navigation so that intelligent algorithms can be applied and patterns can be obtained as ... also aimed to provide abilities for interoperability searching and metadata integration among learning information resources, provides rich information about learners and can be used to automatically ... of high quality learning history-related information, is a very challenging task because it can often involve many educational organizations with various platforms and databases. In this context,...
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Báo cáo khoa học: "A Bio-inspired Approach for Multi-Word Expression Extraction" doc
... in Computer Science 3230: Ad-vances in Natural Language Processing.Suleiman H. Mustafa, 2004. Character contiguity in N-gram-based word matching: the case for Arabictext searching. Information ... Comparisons withvariant n-gram approaches, which are the leadingapproaches, are performed for verifying the effec-tiveness of our approach. Although LCS approach results in better extraction ... MWE repeats itself constantly in corpus(Taneli,2003).The extraction of MWE plays an important role in several areas, such as machine translation (Pas-cale,1997), information extraction (Kalliopi,2000)etc....
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Báo cáo khoa học: "A multi-staged approach to identifying complex events in textual data" ppt
... the area of cross-documentcoreference, and is also leading us to investigatevisual ways to define queries that go beyond theparagraph and span many texts over many years.Finally, we are hoping ... exist in an interac-tive environment. Specifically, we classify eachparagraph in our document collection into one ofseveral interested financial areas. Examples in- clude: Accounting Rule Change, ... IJCAI ’99 Workshop on Information Filtering.Lodhi, H., Saunders, C., Shawe-Taylor, J., Cristianini,and N., Watkins, C. 2002. Text classification usingstring kernels. Journal of Machine Learning...
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Báo cáo khoa học: "Using Emoticons to reduce Dependency in Machine Learning Techniques for Sentiment Classification" pot
... sets) asoptimising training data. For each set of trainingdata we extracted a context of an increasing num-ber of tokens (from 10 to 1,000 in increments of 10)both before and in a window4around ... that performance in a given topic is best if the training data is from thesame topic. For example, the Finance-trained SVMclassifier achieved an accuracy of 78.8% against ar-ticles from Finance, ... experi-ments in total.cons dataset was exhausted.It appears possible that more training data will im-prove the performance of the Emoticon-trained clas-sifiers by increasing the coverage. Potential...
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