2017 WildDevsatSemEval2017Task2Using

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Subject Headings: Wild Devs System; Multilingual And Cross-Lingual Semantic Word Similarity System; SemEval-2017 Task 2.

Notes

Cited By

Quotes

Abstract

This paper presents Wild Devsparticipation in the SemEval-2017 Task 2 "œMulti-lingual and Cross-lingual Semantic Word Similarity", which tries to automatically measure the semantic similarity between two words. The system was build using neural networks, having as input a collection of word pairs, whereas the output consists of a list of scores, from 0 to 4, corresponding to the degree of similarity between the word pairs.

References

BibTeX

@inproceedings{2017_WildDevsatSemEval2017Task2Using,
  author    = {Razvan-Gabriel Rotari and
               Ionut Hulub and
               Stefan Oprea and
               Mihaela Plamada-Onofrei and
               Alina Beatrice Lorent and
               Raluca Preisler and
               Adrian Iftene and
               Diana Trandabat},
  editor    = {Steven Bethard and
               Marine Carpuat and
               Marianna Apidianaki and
               Saif M. Mohammad and
               Daniel M. Cer and
               David Jurgens},
  title     = {Wild Devs' at SemEval-2017 Task 2: Using Neural Networks to Discover
               Word Similarity},
  booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation
               (SemEval@ACL 2017)},
  pages     = {267--270},
  publisher = {Association for Computational Linguistics},
  year      = {2017},
  url       = {https://doi.org/10.18653/v1/S17-2042},
  doi       = {10.18653/v1/S17-2042},
}


 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2017 WildDevsatSemEval2017Task2UsingRazvan-Gabriel Rotari
Ionut Hulub
Stefan Oprea
Mihaela Plamada-Onofrei
Alina Beatrice Lorent
Raluca Preisler
Adrian Iftene
Diana Trandabat
Wild Devs' at SemEval-2017 Task 2: Using Neural Networks to Discover Word Similarity2017