Тілдер арасындағы сөз мағынасын ажырату

AbstractGiven the recent trend to evaluate the performance of word sense disambiguation systems in a more application-oriented set-up, we report on the construction of a multilingual benchmark data set for …...

We report here our work on English French Cross-lingual Word Sense Disam- biguation where the task is to find the best French translation for a target English word depending on …...

We describe the University of Heidelberg (UHD) system for the Cross-Lingual Word Sense Disambiguation SemEval-2010 task (CL-WSD). The system performs CL- WSD by applying graph algorithms pre- viously developed for …...

AbstractThe automatic development of semantic resources constitutes an important challenge in the NLP community. The methods used generally exploit existing large-scale resources, such as Princeton WordNet, often combined with information …...

AbstractWikipedia pages typically contain inter-language links to the corresponding pages in other languages. These links, however, are often incomplete. This paper describes a set of experiments in which the viability …...

We describe the LIMSI system for the SemEval-2013 Cross-lingual Word Sense Dis- ambiguation (CLWSD) task. Word senses are represented by means of translation clusters in different languages built by a …...

The goal of the Cross-lingual Word Sense Disam- biguation task is to evaluate the viability of multilin- gual WSD on a benchmark lexical sample data set. The traditional WSD task …...

We present our system WSD2 which partic- ipated in the Cross-Lingual Word-Sense Dis- ambiguation task for SemEval 2013 (Lefever and Hoste, 2013). The system closely resem- bles our winning system …...

This paper describes the XLING system partici- pation in SemEval-2013 Crosslingual Word Sense Disambiguation task. The XLING system introduces a novel approach to skip the sense disambiguation step by matching …...

AbstractIn this paper, we address the shortage of evaluation benchmarks on Persian (Farsi) language by creating and making available a new benchmark for English to Persian Cross Lingual Word Sense …...