The method of multi-classifier fusion was applied to essay scoring. In this paper, each essay was represented by Vector Space Model (VSM). After removing the stopwords, we extracted the features of contents and lingui...
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Event anaphora resolution plays a critical role in discourse analysis. This paper proposes a tree kernel- based framework for event pronoun resolution. In particular, a new tree expansion scheme is introduced to autom...
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ISBN:
(纸本)9781577355120
Event anaphora resolution plays a critical role in discourse analysis. This paper proposes a tree kernel- based framework for event pronoun resolution. In particular, a new tree expansion scheme is introduced to automatically determine a proper parse tree structure for event pronoun resolution by considering various kinds of competitive information related with the anaphor and the antecedent candidate. Evaluation on the OntoNotes English corpus shows the appropriateness of the tree kernel-based framework and the effectiveness of competitive information for event pronoun resolution.
Coreference resolution is an important subtask in natural language processing systems. The process of it is to find whether two expressions in natural language refer to the same entity in the world. Machine learning a...
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Event anaphora resolution plays an important role in discourse analysis. In comparison with general noun phrases, pronouns carry little information of themselves, resolving the event pronouns is a more difficult task....
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Inverse distance weighting (IDW) interpolation and viewshed are two popular algorithms for geospatial *** interpolation assigns geographical values to unknown spatial points using values from a usually scattered set o...
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Inverse distance weighting (IDW) interpolation and viewshed are two popular algorithms for geospatial *** interpolation assigns geographical values to unknown spatial points using values from a usually scattered set of known points,and viewshed identifies the cells in a spatial raster that can be seen by *** the implementations of both algorithms are available for different scales of input data,the computation for a large-scale domain requires a mass amount of cycles,which limits their *** to the growing popularity of the graphics processing unit (GPU) for general purpose applications,we aim to accelerate geospatial analysis via a GPU based parallel computing *** this paper,we propose a generic methodological framework for geospatial analysis based on GPU and its programming model Compute Unified Device Architecture (CUDA),and explore how to map the inherent parallelism degrees of IDW interpolation and viewshed to the framework,which gives rise to a high computational *** CUDA-based implementations of IDW interpolation and viewshed indicate that the architecture of GPU is suitable for parallelizing the algorithms of geospatial *** results show that the CUDA-based implementations running on GPU can lead to dataset dependent speedups in the range of 13-33-fold for IDW interpolation and 28-925-fold for viewshed *** computation time can be reduced by an order of magnitude compared to classical sequential versions,without losing the accuracy of interpolation and visibility judgment.
In reality, different persons often have the same person name. The Person Cross Document Co-reference Resolution is a task, which requires that all and only the textual mentions of an entity of type Person be individu...
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This paper proposes a Combination of rules and statistics algorithm. Firstly, this research uses the rule-based approach to identify the abbreviation. Secondly, the full name candidates of the abbreviation are recogni...
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In this paper, we propose a higher order safe ambients calculus. In this setting, we propose an extended labelled transition system and an extended labelled bisimulation for this calculus. We also give the reduction b...
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The method of multi-classifier fusion was applied to essay scoring. In this paper, each essay was represented by Vector Space Model(VSM). After removing the stopwords, we extracted the features of contents and linguis...
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The method of multi-classifier fusion was applied to essay scoring. In this paper, each essay was represented by Vector Space Model(VSM). After removing the stopwords, we extracted the features of contents and linguistics from the essays, and each vector was expressed by corresponding weight. Three classical approaches including Document Frequency(DF), information Gain(IG) and Chi-square Statistic(CHI) were used to select features by some predetermined thresholds. According to the experimental results, we classified the test essay to appropriate category using different classifiers, such as Naive Bayes(NB), K Nearest Neighbors(KNN) and Support Vector Machine(SVM). Finally the ensemble classifier was combined by those component classifiers. After training for multi-classifier fusion technique, the experiments on CET4 essays about same topic in Chinese Learner English Corpus(CLEC) show that precision over 73% was achieved.
Both preference logics and preference representation in logic programming are concerned with reasoning about preferences on combinatorial domains, yet little research has been published using preference axioms in logi...
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