@inproceedings{patil-etal-2023-rahul,
title = "Rahul Patil at {S}em{E}val-2023 Task 1: {V}-{WSD}: Visual Word Sense Disambiguation",
author = "Patil, Rahul and
Patel, Pinal and
Patel, Charin and
Verma, Mangal",
editor = {Ojha, Atul Kr. and
Do{\u{g}}ru{\"o}z, A. Seza and
Da San Martino, Giovanni and
Tayyar Madabushi, Harish and
Kumar, Ritesh and
Sartori, Elisa},
booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.semeval-1.176",
doi = "10.18653/v1/2023.semeval-1.176",
pages = "1271--1275",
abstract = "Semeval 2023 task 1: VWSD, In this paper, we propose an ensemble of two Neural network systems that ranks 10 images given a word and limited textual context. We have used openAI Clip based models for the English language and multilingual text-to-text translation models for Farsi-to-English and Italian-to-English. Additionally, we propose a system that learns from multilingual bert-base embeddings for text and resnet101 embeddings for the image. Considering all the three languages into account this system has achieved the fourth rank.",
}
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<abstract>Semeval 2023 task 1: VWSD, In this paper, we propose an ensemble of two Neural network systems that ranks 10 images given a word and limited textual context. We have used openAI Clip based models for the English language and multilingual text-to-text translation models for Farsi-to-English and Italian-to-English. Additionally, we propose a system that learns from multilingual bert-base embeddings for text and resnet101 embeddings for the image. Considering all the three languages into account this system has achieved the fourth rank.</abstract>
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%0 Conference Proceedings
%T Rahul Patil at SemEval-2023 Task 1: V-WSD: Visual Word Sense Disambiguation
%A Patil, Rahul
%A Patel, Pinal
%A Patel, Charin
%A Verma, Mangal
%Y Ojha, Atul Kr.
%Y Doğruöz, A. Seza
%Y Da San Martino, Giovanni
%Y Tayyar Madabushi, Harish
%Y Kumar, Ritesh
%Y Sartori, Elisa
%S Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F patil-etal-2023-rahul
%X Semeval 2023 task 1: VWSD, In this paper, we propose an ensemble of two Neural network systems that ranks 10 images given a word and limited textual context. We have used openAI Clip based models for the English language and multilingual text-to-text translation models for Farsi-to-English and Italian-to-English. Additionally, we propose a system that learns from multilingual bert-base embeddings for text and resnet101 embeddings for the image. Considering all the three languages into account this system has achieved the fourth rank.
%R 10.18653/v1/2023.semeval-1.176
%U https://aclanthology.org/2023.semeval-1.176
%U https://doi.org/10.18653/v1/2023.semeval-1.176
%P 1271-1275
Markdown (Informal)
[Rahul Patil at SemEval-2023 Task 1: V-WSD: Visual Word Sense Disambiguation](https://aclanthology.org/2023.semeval-1.176) (Patil et al., SemEval 2023)
ACL