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

... present a global joint model for lemmatization and part-of-speech predic-tion. Using only morphological lexicons and unlabeled data, we learn a partially-supervised part-of-speech tagger and alemmatizer ... Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, pages 486–494,Suntec, Singapore, 2-7 August 2009.c2009 ACL and AFNLPA global model for joint lemmatization and part-of-speech predictionKristina ... tag-setmodels and pipelined prediction.6.2 Evaluation of direct and pipelined models for lemmatization As a ﬁrst experiment which motivates our joint modeling approach, we present a comparison onlemmatization...

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

... ResultsWe compare the performance of the pipeline model (§4) and the joint model (§3) on morphological dis-ambiguation and unlabeled dependency parsing. Model Tagger Joint Tagger Joint Attr. ↓ all ... disambiguate.3 Joint Model This section describes a model that jointly infersmorphological and syntactic properties of a sen-tence. It will be presented as a graphical model, 2Except for enclitics ... Goldberg and Tsarfaty (2008) pro-pose a generative joint model. This paper is the ﬁrstto use a fully discriminative model for joint morpho-logical and syntactic inference on dependency trees.2.2...

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

... sense and its argument roles simultaneously.We present an exact inference algorithm for the model, and a large-margin learning algorithm thatcan handle both local and global features.2 Model Figure ... 2010.c2010 Association for Computational LinguisticsA Structured Model for Joint Learning ofArgument Roles and Predicate SensesYotaro WatanabeGraduate School of Information SciencesTohoku ... factorsmisses some core arguments, the global featuredemands the model to ﬁll the missing arguments.The numbers of factors for each factor type are:FP and FGare 1, FA and FP Aare |A|. By inte-grating...

Tài liệu Báo cáo khoa học: "A Syntactic Framework for Speech Repairs and Other Disruptions" doc

... ing language model to handle speech repairs, editing terms, and two speakers. Section 2 details the allowable forms of collaboration, interruption, and speech repair in our model. Section ... start and end of a reparandum (say from a language model such as (Heeman and Allen, 1997)), extends copies of phrase hy- potheses over the reparandum allowing the corrected utterance to be formed. ... grammatical and pro- cessing framework for handling the repairs, hesitations, and other interruptions in nat- ural human dialog. The proposed framework has proved adequate for a collection...

Báo cáo khoa học: "A Graphical Interface for MT Evaluation and Error Analysis" doc

... of score values for all the possible combination of metrics, systems,documents and segments. This kind of results isvaluable for rapid evaluation and ranking of trans-lations and systems. However, ... corpus), document and sentence (or segment). The online application ob-tains the measures for all the metrics and levels and generates an interactive table of scores displayingthe values for all ... the candi-date and the reference translations. However, thecurrent command-line interface returns the resultsonly in text mode and does not allow for fully ex-ploiting this linguistic information....

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

... 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 ... distribu-tion and require supervised/semi-supervised infor-mation for learning. We propose a ﬂexible genera-tive model for transliteration mining usable for bothunsupervised and semi-supervised ... charactersof the source and target words are unrelated. We model them as randomly seeing a source word and atarget word together. The non-transliteration model uses random generation of characters...

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

... separated liver and thoracic lymph node pro-teins revealed a radioactive band of  25 kDa in liver and bands of  30 and 56 kDa in thoracic lymphnodes (Fig. 5C). No radioactive protein bands couldbe ... mm.Fig. 1. The mouse model. (A) Immunization and challenge protocol for the mouse model. C57BL ⁄ 6 J mice were given 1 lgofDerp2adsorbed to aluminium hydroxide i.p. at day 0 and 14. The micewere ... betweensensitized and nonsensitized miceIsolated mouse tissues (lungs, kidneys, liver, spleen and thoracic lymph nodes) were homogenized and ana-lyzed for total protein content and radioactivity....

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

... in the documents. An evidence-oriented probabilistic model for ex-pert search and a method for the implementa-tion are proposed. Experimental results show that the proposed model and the ... two sub-models: the expert matching model P(c|e) and the evidence matching model P(e|q). 3.2 Expert Matching Model We expand the evidence e as quadruple <topic, people, relation, document> ... electronic documents usually present different functions and qualities and thus different impacts for expert locating. In contrast, this paper is concerned with propos-ing a probabilistic model for...

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

... log-scale for the x-axis).The two best-performing models are the two hier-archical models. The flat model does significantlyworse and the random model does terribly. The ver-tical lines are a standard ... use a nearlyidentical model to the FLAT model, but instead ofhaving a single m variable, we have three: one for IE, one for Austronesian and one for “all languages.” For a general tree, we ... feature-specific noise rate.We opt for a blend between the first and second op-Figure 2: Graphical model for the FLAT model. tion. We assume an underlying noise rate for the en-tire data set, but...

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

... discussesfeature sets, and sections 5 and 6 present models,experiments, and results.8962 Discourse modes and situation entitiesIn this section, we discuss some of the linguistic mo-tivation for SE classiﬁcation ... categorial, and structural tests. In order to access categorial and structural information, we used the C&C2toolkit(Clark and Curran, 2004). It provides part-of-speech tags and Combinatory ... incorporates part-of-speech (POS) tags for each word, number, and punctuationmark in the clause and the word/tag pairs for eachelement of the clause. POS tags provide valuable in-formation about...

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