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Báo cáo khoa học: "Combining Deep and Shallow Approaches in Parsing German" pptx

Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Exploiting Syntactic and Shallow Semantic Kernels for Question/Answer Classification" docx

... Role Labeling (SRL)systems (Carreras and M`arquez, 2005). Attemptingan application of SRL to QA hence seems natural,as pinpointing the answer to a question relies on a deep understanding of the ... 5DDUnited Kingdomsuresh@cs.york.ac.ukAbstractWe study the impact of syntactic and shallow semantic information in automatic classifi-cation of questions and answers and answerre-ranking. We ... for which benchmarks and baseline resultsare available (Zhang and Lee, 2003; Li and Roth,2005). We design a question multi-classifier bycombining n binary SVMs3according to the ONE-vs-ALL...
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Tài liệu Báo cáo khoa học: "Combining Functionality and Object Orientedness for Natural Language Processing" ppt

... for manipulating data. Objects can be classified into classes and instances. A class defines a procedure [called a method) for handling incoming messages of its instances. A class inherits methods ... flexible means of abstracting modules and sharing common knowledge. 1. Introduction The goal of this paper is to elaborate a domain-independent way of organizing linguistic knowledge, as a ... more principled and constrained way modules of the linguistic component interact, the less complicated will be the system and therefore the better perspective we can obtain for writing a large...
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Báo cáo khoa học: "Combining Statistical and Knowledge-based Spoken Language Understanding in Conditional Models" pptx

... joint expertise in natural language processing and speech recognition, and best practices in language engineering for every new domain. On the other hand, a statistical learning approach needs ... natural language processing and speech recognition, and best practices in language engineering for every new domain. In the past decade many statistical learning approaches have been proposed, ... directly porting the model to HCRFs, and finally introduce the CRFs and 882the features that obtain the best SLU result on ATIS test data. We compare the CRF and perceptron training performances...
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Báo cáo khoa học: "Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken Dialogue Systems" pdf

... Randomly split the remaining data into an80% training and 20% test set.3. Run TiMBL with all possible parameter set-tings on the generated training and test sets and store the best performing ... – an interactive (i.e. mouse click-able) map – and specifies mission goals using nat-ural language commands spoken into a headset, orby using combinations of GUI actions and spokencommands. ... (IS) and the update procedures for pro-cessing user input and generating system responses.Here, we briefly introduce parts of the IS which areneeded to understand the system’s basic workings,and...
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Tài liệu Báo cáo khoa học: "Balancing Clarity and Efficiency in Typed Feature Logic through Delaying" docx

... degrees of instantiation in LTFS,however, corresponding to long subtyping chainsthat terminate in ⊥. A more general and usefulprimitive in a typed language with such chains issuspending until ... suspending until a variable is instantiated, and (2) suspending until two variables are equatedor inequated. The latter corresponds exactly tostructure-sharing in TFSs, and to shared variables in ... the inten-tion of minimizing this extra cost (indeed, the ERGbaseline had not yet been devised).2 Modularity: the cost in claritySemantic types and inheritance serve to organizethe constraints...
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Tài liệu Báo cáo khoa học: "Object clitics and clitic climbing in Italian HPS Ggrammar" docx

... clitic and such combination should be accounted for in the morphological mod- ule. An account in terms of template morphology as in [Simpson and Withgott, 1986] could handle the rigid ordering ... complement and triggering the cliticized verb form. If clitic climbing occurs as in (4a), there is ar- gument raising and the right hand side (output) of the lexical rule will account for it; in this ... clities and the restrictions in combination. As discussed above, clitics and full complements are in complementary distribution in Italian: the clitic should fill the relevant slot in the...
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Báo cáo khoa học: Metabolomics, modelling and machine learning in systems biology – towards an understanding of the languages of cells potx

Báo cáo khoa học: Metabolomics, modelling and machine learning in systems biology – towards an understanding of the languages of cells potx

... high-throughput screening for ligandbinding [316,317] and nucleic acid sequences [318–320]are now being performed using assays based onminiaturization and single-molecule measurements,bringing the $1000 ... and is crucial in scientificdiscovery’, the pioneering work by Swanson on hypo-thesis generation [299] is mainly credited with sparkinginterest in text mining techniques in biology. Textmining ... onEngineering and Physical Sciences, including mathematics and computing (%60%), with those from biology and medicine (40%).D. B. Kell Metabolomics, modelling and machine learning systemsFEBS...
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Báo cáo khoa học: Calcium, mitochondria and oxidative stress in neuronal pathology Novel aspects of an enduring theme pdf

Báo cáo khoa học: Calcium, mitochondria and oxidative stress in neuronal pathology Novel aspects of an enduring theme pdf

... calciumtransients during reversible brain ischemia. Exp BrainRes 104, 462–466.188 Silver IA & Erecinska M (1992) Ion homeostasis in ratbrain in vivo: intra- and extracellular [Ca2+] and [H+ ]in the ... element binding protein, iso-citrate dehydrogenase is an RNA-binding protein, whilekgd2p is a mitochondrial DNA binding protein [81–84].Mitochondria from different brain regions containdifferent ... neuron. The turning point upon whichthe cell looses the ability to buffer the incoming calciumresulting in an abrupt, sustained and irreversibleincrease in [Ca2+]c, probably coincides with...
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Báo cáo khoa học: "Combining Speech Retrieval Results with Generalized Additive Models" pptx

... comparison, and following Lil-lis et al. (2006) and Lee (1997), compute it in thefollowing way. First, we normalize each score sias norm(si) =si−min(s)max(s)−min(s), where max(s) and min(s) ... there are almost certainly othercombination approaches worth investigating. Somepossible approaches include simple linear combi-nations of the putative term frequencies, combina-tions of one ... Here again, a linear combinationof scores will fail, as will rank-based interleaving. In the latter case, we will alternate between taking aplausible document from system A and an inevitablyworse...
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