Báo cáo khoa học: "A Joint Model for Discovery of Aspects in Utterances" potx

... version injects an informa-tive prior for domain, dialog act and slot topic dis-tributions using information extracted from only la-beled training utterances and inject as prior con-straints ... informa-tion from web queries as informative prior to designa novel utterance understanding model in §3 & §4,(iii) comparison of our results to supervised sequen-tial and joint learning ... well as seed labeledtraining utterances as prior information. We con-strain the generation of the semantic components of our model by encoding prior knowledge in terms of 333asymmetric Dirichlet...

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

... mod-ifying an accusative noun. For participles modify-ing a noun, the wrong noun was often chosen basedon inaccurate morphological information. In thesecases, the joint model, entertaining all ... 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 is a “pipeline” parser ... 2011.c2011 Association for Computational LinguisticsA Discriminative Model for Joint Morphological Disambiguation andDependency ParsingJohn LeeDepartment of Chinese,Translation and LinguisticsCity...

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

... models can use the same amount of training data, without giving unfair advantageto the joint model. Such set-up is also used for other re-ranking models (Collins, 2000). For training the joint ... English indicating presenttense third person singular verb and A–FS-N for Bulgarian indicating a feminine singular adjective in indeﬁnite form. In this work we predict onlymain POS tags for the ... by sharing infor-mation between them. We present a joint model for these two subtasks: it is joint not only in thatit performs both tasks simultaneously, sharing in- formation, but also in that...

Báo cáo khoa học: "A Structured Model for Joint Learning of Argument Roles and Predicate Senses" pot

... graphical model representa-tion of the structured model linear models. In this paper we propose a structured model that overcomes limitations of the previous ap-proaches. For the model, we introduce ... argumentrole labeling. We use Semantic Labeled F1 for evaluation. For generating N-bests, we used the beam-search algorithm, and the number of N-bests wasset to N = 64. For learning of the joint model, ... candidates.2.3 Learning the Model For learning of the model, we borrow a funda-mental idea of Kazama and Torisawa’s perceptronlearning algorithm. However, we use a more so-phisticated online-learning algorithm...

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

... labelled information for training. Our sys-tem extracts transliteration pairs in an unsupervisedfashion. It is also able to utilize 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 model. The transliteration model is a joint source channel model (Li et ... results.1 IntroductionTransliteration mining is the extraction of translit-eration pairs from unlabelled data. Most transliter-ation mining systems are built using labelled train-ing data or using...

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

... exception of the induction step, which here was performed at late expo-nential phase at an D600 of 2.4 to increase the efﬁciency of selenocysteine incorporation [38]. In the case of 75Se-labelling, ... mouse model for Der p 2-sensitization, we could track the fate of an inhaled aller-gen in vivo. Based upon our ﬁndings, we conclude that the in ammatorystate of the lung in uences the rate of ... aiming at an understanding of how airborneallergens interact with the airway mucosa and theimmune system after inhalation are of crucial import-ance.Mice are used widely for in vivo models of...

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

... before. In contrast, our study focuses on proposing a model for conducting expert search in a fine-grain scope of evidence (local context). 3 Fine-grained Expert Search Our research is to investigate ... and thus different impacts for expert locating. In contrast, this paper is concerned with propos-ing a probabilistic model for fine-grained expert search. In fine-grained expert search, we are ... a direct use of the local contexts for expert search. We call each local context of such kind as fine-grained evidence. In this work, a fine-grained evidence is formally defined as a quadruple,...

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

... true in the FLAT model mayonly be true for, say, Indo-European, and the remain-ing languages are considered noise. While this maybe interesting in its own right, we are more interested in discovering ... complicated. Instead of perform-ing a simple Gibbs sample for m in Step (4), wefirst sample the m values for the internal nodes us-ing simple Gibbs updates. For the leaf nodes, weuse rejection sampling. ... nor sufficient for the model to be good. For instance, finding 1000 implications of the form A1⊃ X, A2⊃ X, . . . , A1000⊃ X iscompletely uninteresting if X is true in 99% of thecases. Similarly,...

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

... with a lookback of two. A number of things are suggested by these ﬁgures. First, the la-beling model (lookback of zero), beats the baselineeven when training on out -of- domain texts (43.1%vs. ... unsurprisingly far belowtraining on in- domain texts (43.1% vs. 50.6%).Second, while sequence prediction helps with in- domain training (53.1% vs 50.6%), it makes nodifference with out -of- domain ... Cross-domain SE classiﬁcationing out -of- domain training material with in- domainmaterial does not hurt labelling accuracy (50.4% vs50.6%), but it does take away the gains from se-quencing (49.5%...

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

... [Difficulties in auto- matic spell checking of Arabic]. In Proceedings of the Second Cambridge Conference: Bilingual Computing in Arabic and English. In Arabic. Damerau, F. (1964). A technique for ... CV model to describe pattern mor- phemes instead of prosodic terms because of its familiar- ity in the computational linguistics literature. For the use of moraic sad affLxational models in ... entering diacritics. This results in the vowels being shifted one position, e.g. *(wkatubi) instead of (wakutib). • Vocalisms The quality of the perfect and im- perfect vowels of the basic forms...

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