• No results found

semantic context

The influence of semantic context on initial eye landing sites in words

The influence of semantic context on initial eye landing sites in words

... that context e€ects intervene very early in the time course of word processing and before the word is lexically identi®ed, within the 250 ms of parafoveal processing, and not only within the 500 ms of reaction ...

24

Query expansion research based on semantic context

Query expansion research based on semantic context

... a semantic context-based query expansion ...the semantic dictionary WordNet to confirm the meaning of search terms, avoiding the query topic ...the semantic correlation of single original ...

8

Semantic Context Detection Using Audio Event Fusion

Semantic Context Detection Using Audio Event Fusion

... In semantic context detection, the models based on HMM and SVM are evaluated, respectively. As the basic analysis unit is one texture window, the metrics of recall and precision are calculated to show the ...

12

Studying the Semantic Context of two Dutch Causal Connectives

Studying the Semantic Context of two Dutch Causal Connectives

... right context surrounding the connectives are more se- mantically similar in sentences with om- dat than sentences with ...tent Semantic Analysis and n-gram over- ...

5

A distributional model of semantic context effects in lexical processinga

A distributional model of semantic context effects in lexical processinga

... paradigm; semantic relatedness between prime and target was also ...including semantic similarity and normative association strength, making it difficult to attribute priming effects to a single ...

56

Ambient-aware continuous care through semantic context dissemination

Ambient-aware continuous care through semantic context dissemination

... of context-aware services is lagging behind what could be ...mobile, context-aware systems is that users had to sig- nificantly alter workflow patterns to accommodate the system ...any context-aware ...

27

Shared neural processes support semantic control and action understanding

Shared neural processes support semantic control and action understanding

... executively-demanding semantic tasks may share some cognitive processes that are supported by the network revealed ...the context or task – for example, we can retrieve very different actions for the object ...

13

THE ANALYSIS OF SEMANTIC AND PRAGMATIC CONTEXT IN TOEFL TEST SIMULATION ON LISTENING SECTION

THE ANALYSIS OF SEMANTIC AND PRAGMATIC CONTEXT IN TOEFL TEST SIMULATION ON LISTENING SECTION

... as Semantic and Pragmatic affect language user in every ...the semantic and pragmatic contexts in TOEFL test simulation on the Listening ...of semantic and pragmatic context found in the test ...

13

A Framework for Enterprise Context Analysis Based on Semantic Principles

A Framework for Enterprise Context Analysis Based on Semantic Principles

... Carlos Agostinho, PhD, senior Researcher at UNINOVA Center of Technology and Systems (CTS), he holds a PhD in the area of industrial information systems by the Faculty of Science and Technology of the NOVA University of ...

30

Latent Semantic Word Sense Induction and Disambiguation

Latent Semantic Word Sense Induction and Disambiguation

... NMF over the better known singular value decompo- sition used in LSA . First of all, NMF allows us to min- imize the Kullback-Leibler divergence as an objec- tive function, whereas SVD minimizes the Euclidean distance. ...

10

A Split and Recombine Approach for Follow up Query Analysis

A Split and Recombine Approach for Follow up Query Analysis

... on context-independent seman- tic parsing, which translates a single natural lan- guage sentence into its corresponding executable form ...its context. However, context does matter in real world ...

11

Learning Text Pair Similarity with Context sensitive Autoencoders

Learning Text Pair Similarity with Context sensitive Autoencoders

... pairwise context-sensitive Autoencoder for computing text pair sim- ...into context-sensitive representations and uses them to compute similarity between text ...two semantic re- trieval tasks and a ...

11

Online Entropy Based Model of Lexical Category Acquisition

Online Entropy Based Model of Lexical Category Acquisition

... We used the categories induced by our model in word prediction, inferring the semantic prop- erties of novel words, and grammaticality judg- ment. Our experimental results show that the per- formance in these ...

10

Role of semantic web in the changing context of digital environment

Role of semantic web in the changing context of digital environment

... A URI is simply a Web identifier, like the strings starting with http or ftp that you often see on the World Wide Web. Anyone can create a URI, and the ownership of URIs is clearly delegated, so they form an ideal base ...

14

Context informed semantic interoperation

Context informed semantic interoperation

... title property represents the title of both M onograph and M anual class instances. The mapping to the benchmark test ontology described in the RDF maps title to title, M onograph to Book, and M anual to P ublication. In ...

255

Improving Semantic Parsing with Enriched Synchronous Context Free Grammar

Improving Semantic Parsing with Enriched Synchronous Context Free Grammar

... for Semantic Parsing Word alignment is an essential step for rule ex- traction in SMT, where recognizing that wo shi in Chinese is a good translation for I am in English requires establishing a correspondence ...

11

Improving Distributional Semantic Vectors through Context Selection and Normalisation

Improving Distributional Semantic Vectors through Context Selection and Normalisation

... is context selection (CS), in which the top N highest weighted context words per vector are selected, and the rest of the values are discarded (by setting to ...Explicit Semantic Analy- sis (ESA) ...

9

Latent semantic network induction in the context of linked example senses

Latent semantic network induction in the context of linked example senses

... The Princeton WordNet is a powerful tool for studying language and developing nat- ural language processing algorithms. With significant work developing it further, one line considers its extension through aligning its ...

11

Context Dependent Semantic Parsing over Temporally Structured Data

Context Dependent Semantic Parsing over Temporally Structured Data

... The number of annotated real interactions is too small for training an effective semantic parsing model. To increase the number of training exam- ples, we designed and implemented an artificial data generator that ...

10

Automatic Generation and Semantic Grading of Esperanto Sentences in a Teaching Context

Automatic Generation and Semantic Grading of Esperanto Sentences in a Teaching Context

... Though it can be used for different purposes, the sentence generator/evaluator was developed primarily with a pedagogical framework in mind. Specifically, the idea was to allow the creation of CALL exercises, where a ...

10

Show all 10000 documents...

Related subjects