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[PDF] Top 20 Towards a Vector Space Model for FrameNet-like Resources

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Towards a Vector Space Model for FrameNet-like Resources

Towards a Vector Space Model for FrameNet-like Resources

... word-based space are demonstrated to be highly correlated with a thesaurus con- taining both syntagmatic and paradigmatic ...to model topic similarity, in the sense that words similar in the space ... See full document

7

Map Reduce Text Clustering Using Vector Space Model

Map Reduce Text Clustering Using Vector Space Model

... is Vector space model , in which tf-idf is used for k-means algorithm with supportive similarity ...elastic resources are required to store and ...using vector space ... See full document

6

A Vector Space Model for Subjectivity Classification in Urdu aided by Co Training

A Vector Space Model for Subjectivity Classification in Urdu aided by Co Training

... When model vectors were constructed using the entire training set (highly unbalanced), the performance was at 62% F-Measure with the subjectivity detection rate of ...ified model vectors obtained from the ... See full document

9

Unsupervised Metaphor Paraphrasing using a Vector Space Model

Unsupervised Metaphor Paraphrasing using a Vector Space Model

... a vector space model Paraphrase candidates are generated by first computing the specific meaning of the metaphorical term in its ...meaning vector according to the dependency relations in ... See full document

10

A System for Building FrameNet like Corpus for the Biomedical Domain

A System for Building FrameNet like Corpus for the Biomedical Domain

... building resources for training SRL sys- tems in the biomedical ...a model for a hypothetical signal transduction pathway of an idealized cell, to motivate verb ...a FrameNet-like corpus ... See full document

8

Study On Vector Element Evaluation Method For Urban Underground Space Resources Based On GIS

Study On Vector Element Evaluation Method For Urban Underground Space Resources Based On GIS

... behaves like the same deciles space unit model, to simulate the property of actual space boundary ...when vector data are transformed to raster ...original space would be ... See full document

7

Information Retrieval System By Using Vector Space Model

Information Retrieval System By Using Vector Space Model

... The corpus size is 100 text documents written in Afaan Oromo language and with Latin alphabets which is called ‚Qubee‘. The corpus is built from the official website of Oromiya National Regional State , Voice of America ... See full document

7

Exploring the Vector Space Model for Finding Verb Synonyms in Portuguese

Exploring the Vector Space Model for Finding Verb Synonyms in Portuguese

... linguistic resources are crucial for the majority of the applications in nat- ural language processing, but they are still scarce and, in most cases, they do not satisfy every particular information ...language ... See full document

6

Improving Web Page Classification by Vector Space Model

Improving Web Page Classification by Vector Space Model

... Unstructured data exists in two main categories: bitmap objects and textual objects. Bitmap objects are non-language based (e.g. image, audio, or video files) whereas textual objects are ―based on written or printed ... See full document

6

A Structured Vector Space Model for Word Meaning in Context

A Structured Vector Space Model for Word Meaning in Context

... current vector composition methods, which result in a single vector c, are not informative enough for this ...the vector c can only encode a fixed amount of structural information if its dimen- ... See full document

10

A Generative Model of Vector Space Semantics

A Generative Model of Vector Space Semantics

... similar model is given by Grefenstette et ...matrix- like operator semantics include that of Socher et ...the model in Ba- roni and Zamparelli’s paper as corresponding to a training procedure for a ... See full document

9

Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models

Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models

... The function application rule states that a cate- gory of the form X/Y behaves like a function that accepts an input category Y and returns category X. The rule also derives a logical form for the re- sult by ... See full document

10

Using language technology resources and tools to construct Swedish FrameNet

Using language technology resources and tools to construct Swedish FrameNet

... other resources, Karp is an important tool for accessing ...SweFN++ resources, except instances in the ...which resources they have been entered and ... See full document

10

The Rocky Road towards a Swedish FrameNet - Creating SweFN

The Rocky Road towards a Swedish FrameNet - Creating SweFN

... It is also known that good examples have to be tuned to the type of the lexical resource under construction as well as the needs and expectations of its users. Thus, the two resources we have been working with, ... See full document

6

Performance Analysis of Layered Vector Space Model in Web Information Retrieval

Performance Analysis of Layered Vector Space Model in Web Information Retrieval

... The vector space model is one of the extensively used for web information ...this model ignores the importance of terms with respect to their position while calculating the weight to the ... See full document

9

Unsupervised Aspect Based Multi Document Abstractive Summarization

Unsupervised Aspect Based Multi Document Abstractive Summarization

... For the language model, we use a 2-layer monodirectional LSTM with state size 1000 and randomly initialized word embeddings of size 200. Minibatches have size 10 for the language mod- elling objective and size 8 ... See full document

6

A Multi classifier Approach to support Coreference Resolution in a Vector Space Model

A Multi classifier Approach to support Coreference Resolution in a Vector Space Model

... In this paper a different machine learning ap- proach is presented to deal with the coref- erence resolution task. This approach con- sists of a multi-classifier system that classifies mention-pairs in a reduced ... See full document

8

A Proposal for combining “general” and specialized frames

A Proposal for combining “general” and specialized frames

... B.3. Cases in which frames appear in relations that would not necessarily be valid from the point of view of the general lexicon are much more difficult to handle since many appear to be domain- specific. For the time ... See full document

10

On Multi Class Vector Space Model based Information Retrieval

On Multi Class Vector Space Model based Information Retrieval

... As the earliest and also the most famous mathematics model in information search, its basic thought mean the text to adding authority characteristic vector: D=D T ,W ;T ,W ; ;T ,W Then i[r] ... See full document

5

Chinese Personal Name Disambiguation Based on Vector Space Model

Chinese Personal Name Disambiguation Based on Vector Space Model

... But owing to the fact that each character in- formation text is short, the above three kinds of feature weight calculation methods cannot effec- tively reflect importance of different characters. According to the section ... See full document

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