Many textbooks include semantically related words and sometimes teachers add synonyms, antonyms, etc. to the words in order to present new vocabulary items without questioning the possible effects. This study sought to investigate the effect of teaching vocabulary through synonym, semantically unrelated, and hyponym sets based on Higa’s (1963) proposed continuum. A total of 120 Iranian intermed...

The task of binary relation extraction in IE [3] is based mainly on high-frequent verbs and patterns. During the extraction of a specific relation from MEDLINE English abstracts, it is noticed that besides the high-frequent verb itself which represents the specific relation, some other word forms, such as the nominal and adjective forms of this verb, as well as its synonyms, also play a very im...

This paper describes the participation of ELiRF-UPV team at task 7 (subtask 2: homographic pun detection and subtask 3: homographic pun interpretation) of SemEval2017. Our approach is based on the use of word embeddings to find related words in a sentence and a version of the Lesk algorithm to establish relationships between synsets. The results obtained are in line with those obtained by the o...

We report on an ongoing project aimed at providing an exemplary architecture for an electronic dissemination environment for scientific handbooks. We focus on our way of facilitating navigation through and access to electronic handbooks by using a WordNet-like concept hierarchy consisting of synsets that are connected to each other and to external sources by semantic relations for navigational ...

In this paper, we present a novel approach using LDA (Latent Dirichlet Analysis, Blei, David, Andrew, Michael, and Jordan, 2003) to analyze synonym groups appearing in fixed frames containing Chinese locative phrases, such as [zái noun phrase (yǐ/zhī) shàng/xià/etc. biān/miàn/etc.], and to understand noun meanings related to the syntactic forms of locative phrases. We mapped the different noun ...

Biomedical synonyms are important resources for Natural Language Processing in Biomedical domain. Existing synonym resources (e.g., the UMLS) are not complete. Manual efforts for expanding and enriching these resources are prohibitively expensive. We therefore develop and evaluate approaches for automated synonym extraction from Wikipedia. Using the inter-wiki links, we extracted the candidate ...

In this paper, we present a lexical resource where WordNet synsets are annotated with Subject Field Codes. We discuss both the methodological issues we dealt with and the annotation techniques used. A quantitative analysis of the resource coverage, as well as a qualitative evaluation of the proposed annotations, are reported.

Lexical knowledge bases (LKBs), such as WordNet, have been shown to be useful for a range of language processing tasks. Extending these resources is an expensive and time-consuming process. This paper describes an approach to address this problem by automatically generating a mapping from WordNet synsets to Wikipedia articles. A sample of synsets has been manually annotated with article matches...

This paper reports on the development of the prototype African Wordnet (AWN) which currently includes four languages. The resource has been developed by translating Common Base Concepts from English, and currently holds roughly 42 000 synsets. We describe here how some language specific and technical challenges have been overcome and discuss efforts to localise the content of the wordnet and qu...