Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: In Vitro Structural and Functional Evaluation of Gold Nanoparticles Conjugated Antibiotics
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài:Phenotype and functional evaluation of ex vivo generated antigen-specific immune effector cells with potential for therapeutic applications
Functional Magnetic Resonance Imaging of brain is typically called fMRI. It has
become a fundamental modality of imaging at any MRI suite of service center or
hospital. Our book has been compiled with the aim of incorporating a wide range of
applied neuropsychological evaluation methods. It is aimed at those who are
embarking on neuropsychological research projects, as well as relatively experienced
psychologists and neuroscientists who might wish to further develop their
Excel is a powerful program with more than 300 built-in functions that can be used to perform an almost infinite number of calculations. This friendly book shows you how to use the 150 most valuable ones in real-world situations: to compare the cost of buying vs. leasing a car, calculate classroom grades, or evaluate investment performance, for example. Another 85 specialized functions are also described. Detailed, step-by-step instructions help you understand how functions work within formulas and how you can use them to solve everyday problems....
The ability to walk safely, easily, and in an aesthetically pleasing manner is
a skill learned early and highly prized. Although it is typically taken for
granted, gait is key to mobility and functional independence and at the
core of our ability to carry out many activities of daily living. In older adults
and patients with neurological deficits, ease and safety in walking may
become compromised, and gait is often viewed as abnormal, i.e., as a disorder.
While not an inevitable part of aging, gait disorders are common
among older adults and in patients with neurological disease.
This paper presents DEPEVAL(summ), a dependency-based metric for automatic evaluation of summaries. Using a reranking parser and a Lexical-Functional Grammar (LFG) annotation, we produce a set of dependency triples for each summary. The dependency set for each candidate summary is then automatically compared against dependencies generated from model summaries. We examine a number of variations of the method, including the addition of WordNet, partial matching, or removing relation labels from the dependencies. ...
This paper describes our system for generating Chinese aspect expressions. In the system, the semantics of different aspects is characterized by specific temporal and conceptual features. The semantic applicability conditions of each individual aspect are theoretically represented by an aspect selection function (ASF). The generation is realized by evaluating implemented inquiries which formally define the ASFs, traversing the grammatical network, and making aspect selections.
We present an LFG-DOP parser which uses fragments from LFG-annotated sentences to parse new sentences. Experiments with the Verbmobil and Homecentre corpora show that (1) Viterbi n best search performs about 100 times faster than Monte Carlo search while both achieve the same accuracy; (2) the DOP hypothesis which states that parse accuracy increases with increasing fragment size is confirmed for LFG-DOP; (3) LFGDOP's relative frequency estimator performs worse than a discounted frequency estimator; and (4) LFG-DOP significantly outperforms TreeDOP if evaluated on tree structures only.
We present a stochastic parsing system consisting of a Lexical-Functional Grammar (LFG), a constraint-based parser and a stochastic disambiguation model. We report on the results of applying this system to parsing the UPenn Wall Street Journal (WSJ) treebank. The model combines full and partial parsing techniques to reach full grammar coverage on unseen data. The treebank annotations are used to provide partially labeled data for discriminative statistical estimation using exponential models.
A serious bottleneck of comparative parser evaluation is the fact that different parsers subscribe to different formal frameworks and theoretical assumptions. Converting outputs from one framework to another is less than optimal as it easily introduces noise into the process. Here we present a principled protocol for evaluating parsing results across frameworks based on function trees, tree generalization and edit distance metrics. This extends a previously proposed framework for cross-theory evaluation and allows us to compare a wider class of parsers. ...
In this paper, we extend current state-of-theart research on unsupervised acquisition of scripts, that is, stereotypical and frequently observed sequences of events. We design, evaluate and compare different methods for constructing models for script event prediction: given a partial chain of events in a script, predict other events that are likely to belong to the script.
This paper proposes a framework for training Conditional Random Fields (CRFs) to optimize multivariate evaluation measures, including non-linear measures such as F-score. Our proposed framework is derived from an error minimization approach that provides a simple solution for directly optimizing any evaluation measure. Speciﬁcally focusing on sequential segmentation tasks, i.e. text chunking and named entity recognition, we introduce a loss function that closely reﬂects the target evaluation measure for these tasks, namely, segmentation F-score. ...
Data-driven grammatical function tag assignment has been studied for English using the Penn-II Treebank data. In this paper we address the question of whether such methods can be applied successfully to other languages and treebank resources. In addition to tag assignment accuracy and f-scores we also present results of a task-based evaluation. We use three machine-learning methods to assign Cast3LB function tags to sentences parsed with Bikel’s parser trained on the Cast3LB treebank.
In this paper we present a methodology for extracting subcategorisation frames based on an automatic LFG f-structure annotation algorithm for the Penn-II Treebank. We extract abstract syntactic function-based subcategorisation frames (LFG semantic forms), traditional CFG categorybased subcategorisation frames as well as mixed function/category-based frames, with or without preposition information for obliques and particle information for particle verbs.
In previous papers we presented methods for retrieving collocations from large samples of texts. We described a tool, X t r a c t , that implements these methods and able to retrieve a wide range of collocations in a two stage process. These methods a.s well as other related methods however have some limitations. Mainly, the produced collocations do not include any kind of functional information and many of them are invalid. In this paper we introduce methods that address these issues. These methods are implemented in an added third stage to X t r a c t...
This paper presents PEAS, the first comparative evaluation framework for parsers of French whose annotation formalism allows the annotation of both constituents and functional relations. A test corpus containing an assortment of different text types has been built and part of it has been manually annotated. Precision/Recall and crossing brackets metrics will be adapted to our formalism and applied to the parses produced by one parser from academia and another one from industry in order to validate the framework. ...
We consider the evaluation problem in Natural Language Generation (NLG) and present results for evaluating several NLG systems with similar functionality, including a knowledge-based generator and several statistical systems. We compare evaluation results for these systems by human domain experts, human non-experts, and several automatic evaluation metrics, including NIST, BLEU, and ROUGE. We ﬁnd that NIST scores correlate best ( 0.8) with human judgments, but that all automatic metrics we examined are biased in favour of generators that select on the basis of frequency alone. ...