Contextual Features
Cluster Analysis Based on Contextual Features Extraction for Conversational Corpus
... specific contextual features on Pragmatics ...extract features like back- grounds ...of features related to habits through the dictio- ...these features as integrity rather than ...
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First Steps in Using Word Senses as Contextual Features in Maxent Models for Machine Translation
... as contextual features, in much the same way as graph-based WSD algorithms such as UKB rely on the open class words surrounding a given target word as ...
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Word Sense Disambiguation Using Multiple Contextual Features
... various features and machine learning algorithms to address specific ...multiple contextual features, including the predicate-argument structure and named entities, to train two commonly used ...
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Towards an understanding of contextual features that influence the linguistic formality of British Sign Language users
... 3.59 and 1.78 respectively, ranging from the minimum mean value to one of the highest mean values. A less marked but similar effect is found in scenarios A, I and L, each of which concern the topic of ‘politics, ’ yet ...
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Word similarity using constructions as contextual features
... Lin’s version requires a parsed corpus in order to extract the grammatical relations as contextual features. For this we use Link parser (Sleator and Temperley 1993) to parse BNC and extract all ...
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Organizational contextual features that influence the implementation of evidence-based practices across healthcare settings: a systematic integrative review
... organizational contextual features (organizational culture; leadership; networks and communication; resources; evaluation, monitoring and feedback; and champions) were most commonly reported to influence ...
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Image Matching Using Contextual Features
... This project is based on the technique of Image Matching which matches images which have some visual discrepancies between them. Image Matching, or comparing images in order to obtain a measure of their similarity, is an ...
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Investigating how well contextual features are captured by bi directional recurrent neural network models
... learn features automatically and avoid explicit feature ...capturing contextual fea- ...important contextual words as features, which can easily be extended to analyze various other feature ...
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Predicting Pronoun Translation Using Syntactic, Morphological and Contextual Features from Parallel Data
... ensures coherent syntactic analysis by the parser, since projections are based on the lexical proper- ties of the heads. The placeholder was inserted in the lexicon as a token with all possible morpholog- ical ...
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Semi supervised Dependency Parsing using Bilexical Contextual Features from Auto Parsed Data
... derive features from auto-parsed data include (Sagae and Gordon, 2009; Bansal et ...learned features are designed to cap- ture interactions between ...
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Learning Categories and their Instances by Contextual Features
... We present a 3-step framework that learns categories and their instances from natural language text based on given training examples. Step 1 extracts contexts of training examples as rules describing this category from ...
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Do Supervised Distributional Methods Really Learn Lexical Inference Relations?
... of contextual features: other words that tend to appear in its ...Such features are typically used in word similarity tasks, where cosine similarity is a standard similarity measure between two word ...
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Identifying the domains of context important to implementation science: a study protocol
... their features) of context that fa- cilitate and hinder (1) healthcare professionals’ use of evidence in clinical practice and (2) the effectiveness of im- plementation ...identifying contextual ...
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Learning English Light Verb Constructions: Contextual or Statistical
... statistical features and show that the system trained by these two types of cosmet- ically different features reaches similar per- formance ...with contextual features which contain ...
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A Metric based Framework for Automatic Taxonomy Induction
... Besides contextual features, the vec- tors can also be represented by verb-noun rela- tions (Pereira et ...appositive features (Caraballo, ...
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Exploring the effects of position-related information on the perception of scenario-based passing opportunities: An information integration theoretical approach
... the contextual features and the total sample of the analyzed passes, there were a considerable number of passing decisions that did not seem to follow this correlational ...of contextual information ...
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PROTECTING OSN USER WALLS FROM MALICIOUS MESSAGES AND VULGAR IMAGES BY USING FILTERING RULES
... recognize features of short ...many features for text representation but we consider only three types of ...(DP), contextual features (CF) and ...DP features are considered known words ...
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An Unsupervised Method for Discovering Lexical Variations in Roman Urdu Informal Text
... We compared Lex-C with k-means and EM clus- tering algorithms. With both of these algorithms we used the same feature set (i.e., word features, phonetic features, and contextual features), ...
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Self Organizing Markov Models and Their Application to Part of Speech Tagging
... Another way of context extension is the selective extension of context. In the case of context exten- sion from lower context to higher like the examples in figure 1, the extension involves taking more infor- mation ...
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Discourse Chunking and its Application to Sentence Compression
... nine features above, which encode information about the token itself, we also implemented 16 contextual features to encode information about its neighbouring ...capture contextual information ...
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