XRCE at SemEval-2016 Task 5: Feedbacked Ensemble Modeling on Syntactico-Semantic Knowledge for Aspect Based Sentiment Analysis

ReCAM@IITK at SemEval-2021 Task 4: BERT and ALBERT based Ensemble for Abstract Word Prediction

This paper describes our system for Task 4 of SemEval-2021: Reading Comprehension of Abstract Meaning (ReCAM). We participated in all subtasks where the main goal was to predict an abstract word missing from a statement.…

XRCE: Hybrid Classification for Aspect-based Sentiment Analysis

SLPL SHROOM at SemEval2024 Task 06: A comprehensive study on models ability to detect hallucination

Language models, particularly generative models, are susceptible to hallucinations, generating outputs that contradict factual knowledge or the source text. This study explores methods for detecting hallucinations in thr…

Noobs at Semeval-2021 Task 4: Masked Language Modeling for abstract answer prediction

This paper presents the system developed by our team for Semeval 2021 Task 4: Reading Comprehension of Abstract Meaning. The aim of the task was to benchmark the NLP techniques in understanding the abstract concepts pres…

LIA at SemEval-2017 Task 4: An Ensemble of Neural Networks for Sentiment Classification

This paper describes the system developed at LIA for the SemEval-2017 evaluation campaign. The goal of Task 4.A was to identify sentiment polarity in tweets. The system is an ensemble of Deep Neural Network (DNN) models:…