The problem of detection and interpretation of English puns falls under the area of word sense disambiguation in natural language processing, which deals with the sense of a word used in a sentence from the readers’ perspective. We have tried to design a system to identify puns from a sentence by developing a cyclic dependency– based system which is implemented based on some rules which are act...

Is it possible to use sense inventories to improve Web search results diversity for one word queries? To answer this question, we focus on two broad-coverage lexical resources of a different nature: WordNet, as a de-facto standard used in Word Sense Disambiguation experiments; and Wikipedia, as a large coverage, updated encyclopaedic resource which may have a better coverage of relevant senses ...

the form and morphology criteria are among  effective components in enhancement and improvement of urban environments and one of the features of successful urban spaces, is the way these criteria are arranged alongside each other especially at the visual landscape of an entrance space, because entrance of every place is the first and most important communication ring between the person and the ...

This paper studies the application of the Web Selectors word sense disambiguation system on a specific domain. The system was primarily applied without any domain tuning, but the incorporation of domain predominant sense information was explored. Results indicated that the system performs relatively the same with domain predominant sense information as without, scoring well above a random basel...

This paper investigates the effectiveness of using the redundancy of the web for solving the Word Sense Disambiguation task. The web-based algorithm looks for the adjective-noun pairs in the web to disambiguate an english noun. Preliminary results show that a better precision than the baseline is obtained but with a low recall. Moreover, the web seems to be more effective than the WordNet Doama...

As the volume of documents on the Web increases, technologies to extract useful information from them become increasingly essential. For instance, information extracted from social network services such as Twitter and Facebook is useful because it contains a lot of location-specific information. To extract such information, it is necessary to identify the location of each location-relevant expr...

This research examines a word sense disambiguation method using selectors acquired from the Web. Selectors describe words which may take the place of another given word within its local context. Work in using Web selectors for noun sense disambiguation is generalized into the disambiguation of verbs, adverbs, and adjectives as well. Additionally, this work incorporates previously ignored adverb...