most citedEiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets

2 citations · 3 across the 3 of their papers we have counts for

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cs.CL2025

Efficient Intent-Based Filtering for Multi-Party Conversations Using Knowledge Distillation from LLMs

Reem Gody, Mohamed Abdelghaffar, Mohammed Jabreel +1

Large language models (LLMs) have showcased remarkable capabilities in conversational AI, enabling open-domain responses in chat-bots, as well as advanced processing of conversatio…

cs.CL2018★ 2 cited

EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets

Mohammed Jabreel, Antonio Moreno

This paper describes our system that has been used in Task1 Affect in Tweets. We combine two different approaches. The first one called N-Stream ConvNets, which is a deep learning…