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[PDF] Top 20 Towards an optimal weighting of context words based on distance

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Towards an optimal weighting of context words based on distance

Towards an optimal weighting of context words based on distance

... the proportion of correctly disambiguated words among all the word samples. The cross-validation is performed on the training data with leave-one- out and is shown as a hint of the capacity of the models. A ... See full document

9

Reference-free time-based localization for an asynchronous target

Reference-free time-based localization for an asynchronous target

... shortest distance to the target ...the optimal weighting matrix can compensate the impact of the refer- ence selection, the curves of all the WLS estimators with optimal weights will ... See full document

21

Feature Weighting for Co occurrence based Classification of Words

Feature Weighting for Co occurrence based Classification of Words

... of words into flatly organized classes is a very challenging task with quite low upper and lower bounds, which suggests that a considerable improvement on the baseline is hard to ...the weighting functions, ... See full document

7

Latent Vector Weighting for Word Meaning in Context

Latent Vector Weighting for Word Meaning in Context

... window-based context words and dependency-based features), and thus our methods requires a significant amount of ...NMF context as the best scoring ... See full document

11

Neural context embeddings for automatic discovery of word senses

Neural context embeddings for automatic discovery of word senses

... representing context words using a novel weighting schema consisting of a semantic component, and a temporal component, see Section ...chosen, based on ...of words (Neelakantan et ... See full document

8

A context aware approach for handling concept drift in classification

A context aware approach for handling concept drift in classification

... two weighting strategies are ...Euclidean distance) between the new example and the examples in the current window with respect to contextual ...current context (attribute weighting). In the ... See full document

214

Context Score based Term Weighting Model for Text Summarization

Context Score based Term Weighting Model for Text Summarization

... When we consider the summary against the document, the length of the summary is far less than the length of the document. And for that the summary to be effective, it should convey proper information, without any loss of ... See full document

6

A Framework for Collaborative Document Classification with GA-SVM S. Chakraverty, U. Pandey, P. Dutt

A Framework for Collaborative Document Classification with GA-SVM S. Chakraverty, U. Pandey, P. Dutt

... directed towards mixed statistical and contextual DC ...parametric context functions with the TF-IDF score and prove the efficacy of this approach in solving crossword ...and context based ... See full document

11

Words are not Equal: Graded Weighting Model for Building Composite Document Vectors

Words are not Equal: Graded Weighting Model for Building Composite Document Vectors

... vidual words, vectors are obtained via distribu- tional learning, the mechanisms for which varies from document-term matrix factorization (Lan- dauer and Dumais, 1997), various forms of deep learning (Collobert et ... See full document

10

Evaluation Dataset (DT Grade) and Word Weighting Approach towards Constructed Short Answers Assessment in Tutorial Dialogue Context

Evaluation Dataset (DT Grade) and Word Weighting Approach towards Constructed Short Answers Assessment in Tutorial Dialogue Context

... our context to the immedi- ately preceding tutor question and problem descrip- ...was based on previous work by Niraula and colleagues (2014) that showed that most of the referring expressions can be ... See full document

6

GIS Based Inverse Distance Weighting Spatial Interpolation Technique for Fluoride Occurrence in Ground Water

GIS Based Inverse Distance Weighting Spatial Interpolation Technique for Fluoride Occurrence in Ground Water

... This study was conducted to evaluate fluoride contamination in ground water of the central part of Nagaur district where ground water is the main source of drinking as well as irrigation. Samples from hand pumps and tube ... See full document

6

Learning Styles in the Context of Reasoning and Problem Solving Ability: An Approach based on Multivariate Analysis of Variance

Learning Styles in the Context of Reasoning and Problem Solving Ability: An Approach based on Multivariate Analysis of Variance

... In order to know the significance of difference between the mean scores of learning styles on students reasoning and problem solving ability, multivariate analysis of variance (MANOVA) was used to describe the directed  ... See full document

11

Towards Context Based Subjectivity Analysis

Towards Context Based Subjectivity Analysis

... Segments (1.a), (2.a), (3.a), (3.b) and (4.b) are explicit opinions. (1.b), (2.b) and (3.c) convey implicit opinions and (4.a) is subjective, but non- evaluative. (Wiebe et al., 2005) have already pro- posed an ... See full document

9

Influence of functional words, term weighting measures and classifiers on Text classification

Influence of functional words, term weighting measures and classifiers on Text classification

... The text classification can be performed in three steps:1) Preprocessing and then the features are weighted with various features to build the feature vectors space. 2) The classifier to generate model for test set ... See full document

12

Weighting Finite State Transductions With Neural Context

Weighting Finite State Transductions With Neural Context

... Some recent papers have used LSTMs or BiL- STMs, as we do, to define probability distributions over action sequences that operate directly on an in- put sequence. Such actions are aligned to the in- put. For example, ... See full document

11

Relationship between types of distractor and difficulty of multiple-choice vocabulary tests in sentential context

Relationship between types of distractor and difficulty of multiple-choice vocabulary tests in sentential context

... the words strongly collocated with sleep, the log-log score within five words of sleep was calculated, and lose, need, and want were ...w) words”; hence, five words were considered enough to ... See full document

14

Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non Political Authors

Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non Political Authors

... trasting positions correspond to topics given by join, religious, stand, support, conservative and prolife, killed, born, unborn, aborted. It can be seen that the first position gives a religious view whereas the second ... See full document

9

LAYOUT AN INEXPENSIVE ELLIPTICAL POLARIZED PRODUCTIVE INTEGRATED TRANSCEIVER

LAYOUT AN INEXPENSIVE ELLIPTICAL POLARIZED PRODUCTIVE INTEGRATED TRANSCEIVER

... the context of LMS use takes into account factors including the following: the content prevalence and extensiveness, ease of access and navigation, and course staff approachability ...frustration towards ... See full document

11

Churn Prediction in Telecom using Classification Algorithms

Churn Prediction in Telecom using Classification Algorithms

... [73]. Aminudin, N., Huda, M., Hehsan, A., Ripin, M.N., Haron, Z., Junaidi, J., Irviani, R., Muslihudin, M., Hidaya, S., Maseleno, A., Gumanti, M., Fauzi, A.N., Application program learning based on Android for ... See full document

16

Alternative GMM Estimators for First order Autoregressive Panel Model: An Improving Efficiency Approach

Alternative GMM Estimators for First order Autoregressive Panel Model: An Improving Efficiency Approach

... semidefinite weighting matrix is used to obtain consistent estimates of the ...a weighting matrix can be constructed and used for asymptotically efficient two-step ...suggested weighting matrix to ... See full document

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