Báo cáo khoa học: " A predictive model for the level of sIgA based on IgG levels following the oral administration of antigens expressed in Sacchromyces cerevisiae" pdf

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Tài liệu Báo cáo khoa học: "A Statistical Model for Unsupervised and Semi-supervised Transliteration Mining" pptx

... (the “non-transliteration model ). Interpolation with the non-transliteration model allows the transliteration model to concentrate on modelling transliterationsduring EM training. After EM training, ... un-labelled data using a combination of a transliterationand a non-transliteration sub -model. The translit-eration model jointly generates source and targetstrings, whereas the non-transliteration system ... labelled informationif available, obtaining improved performance.We present a novel model of transliteration min-ing deﬁned as a mixture of a transliteration model and a non-transliteration...

Báo cáo khoa học: A mouse model for in vivo tracking of the major dust mite allergen Der p 2 after inhalation docx

... (the 16 kDa band) that the clearance and further metabo-lism of the allergen was altered as a result of the in ammation in the lungs of sensitized animals.Up to now there are few data available ... protein concentrations in the supern-atants were thereafter determined by the Bradford proteinassay (Bio-Rad, Hercules, CA, USA) using BSA as stand-ard. The distribution of radioactivity in the ... tracking after intratracheal(i.t.) administration of an airborne allergen relevant for human allergic disease. The fate of Der p 2 wasfollowed both at the whole-body level by autoradio-graphy...

Báo cáo khoa học: "A Probabilistic Model for Fine-Grained Expert Search" pptx

... reference information like a list of <book, author> can serve as a reliable source connecting a topic and an expert candidate. We call the relation appearing in a special type of <Section> ... matching methods of full name matching and email matching, and the relation of section relation. To show the contribu-tion of each individual method for evidence extrac-tion, we incrementally ... importance in facilitating the needs of both information access and knowledge discovery. Many approaches have been pro-posed, including metadata extraction, expert profile building, and formal...

Báo cáo khoa học: "A Bayesian Model for Discovering Typological Implications" ppt

... but instead of having a single m variable, we have three: one for IE, one for Austronesian and one for “all languages.” For a general tree, we assign one implication vari-able for each node (including ... suppose that our“hierarchy” of languages is nearly ﬂat. Of the Nlanguages, half of them are Indo-European and the other half are Austronesian. We will use a nearlyidentical model to the FLAT model, ... hierarchical Bayesian model. In essence, we take the FLAT model andbuild a notion of language relatedness into it. In particular, we enforce a hierarchy on the m impli-cation variables. For...

Báo cáo khoa học: "A Sequencing Model for Situation Entity Classiﬁcation" pdf

... are non-absolute, makingthem inappropriate for a rule -based model. Ourmodels handle the defeasibility of these correlationsprobabilistically, as is standard for machine learning for natural ... such, they can be seenas a way of encoding the verbal constellation and itseffect on aspectual classification.5 ModelsWe consider two types of models for the automaticclassification of situation ... contains finite verbHASMODAL T if clause contains modal verbFREQADV T if clause contains frequency adverbMODALADV T if clause contains modal adverbVOLADV T if clause contains volitional adverbFIRSTVB...

Báo cáo khoa học: "A Morphographemic Model for Error Correction Nonconcatenative Strings" pot

... European Chapter o`f the Association for Computational Linguistics, pages 2-10. Kiraz, G. Computational analyses of Arabic mor- phology. Forthcoming in Narayanan, A. and Ditters, E., editors, The ... {iyy}, as in Arabic /samaaP+iyy/-+/samaawiyy/'heavenly', but /hawaaP+iyy/-~/hawaa~iyy/&apos ;of air'. * Morphosyntactic Issues In broken plurals, diminutives and deverbal nouns, the ... Notice the use of ellipsis to indicate that there can be tuples separating LEX and LLC, as far as the tuples in LLC are the nearest ones to LEX. R5 sanctions the spreading (and gem- ination) of...

Báo cáo khoa học: "A Statistical Model for Lost Language Decipherment" pptx

... identifying cognates,and (iv) morphological segmentation.As a baseline for the ﬁrst three of these tasks(learning alphabetic mappings and translating andidentifying cognates), we adapt the HMM -based method ... in a lost language and a non-parallel corpus in a related language from the samelanguage family. Our primary goal is to translatewords in the unknown language by mapping themto cognates in ... addition, manual morphologicalsegmentation was carried out with the guidance of a standard Ugaritic grammar (Schniedewind andHunt, 2007). Although Ugaritic is an in ectionalrather than agglutinative...

Báo cáo khoa học: "A Discriminative Model for Joint Morphological Disambiguation and Dependency Parsing" ppt

... is a typical sce-nario, where an accusative adjective was tagged asnominative, and was then misanalyzed by the parseras modifying a verb (as a subject) rather than mod-ifying an accusative ... (Smith and Eisner, 2008). The variance of the Gaussian prior is set to 1. The other two parameters in the training process, the number of belief propa-gation iterations and the number of training ... up the variables and factors of the joint model and train them separately. For mor-phological disambiguation, we use the baseline tag-ger described in §4.1. For dependency parsing, ourbaseline...

Báo cáo khoa học: "A global model for joint lemmatization and part-of-speech prediction" doc

... factthat there are many more forms of a single lemmaand joint reasoning allows us to pool informationacross the forms.7 Conclusion In this paper we concentrated on the task of mor-phological analysis, ... set, the component mod-els are ﬁrst retrained on the union of LTrain andLDev so that all models can use the same amount of training data, without giving unfair advantageto the joint model. ... training,and can additionally make use of un-annotated text in the language. We present a new machine learn-ing model for this task setting. In addition to the morphological analysis taskwe are interested...

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