Keeping pace with other wordnets development, we present the challenges raised by the Romanian derivational system and our methodology for identifying derived words and their stems in the Romanian Wordnet. To attain this aim we rely only on the list of literals in the wordnet and on a list of Romanian affixes; the automatically obtained pairs require automatic and manual validation, based on a ...

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...

We have released plWordNet 3.0, a very large wordnet for Polish. In addition to what is expected in wordnets – richly interrelated synsets – it contains sentiment and emotion annotations, a large set of multi-word expressions, and a mapping onto WordNet 3.1. Part of the release is enWordNet 1.0, a substantially enlarged copy of WordNet 3.1, with material added to allow for a more complete mappi...