Search Results for author:
Found 8 papers, 0 papers with code
UAICS at SemEval-2020 Task 4: Using a Bidirectional Transformer for Task a
In order to try and solve this problem the SemEval 2020 Task 4 - {''}Commonsense Validation and Explanation (ComVE){''} aims to evaluate systems capable of multiple stages of ComVE.
When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey
Among the most challenging targets of interest in medicine are cancer diagnosis and therapies but, to start this revolution, software tools need to be adapted to cover the new requirements.
A Real-Time System for Credibility on Twitter
Nowadays, social media credibility is a pressing issue for each of us who are living in an altered online landscape.
UAIC at SemEval-2019 Task 3: Extracting Much from Little
In this paper, we present a system description for implementing a sentiment analysis agent capable of interpreting the state of an interlocutor engaged in short three message conversations.
Wild Devs' at SemEval-2017 Task 2: Using Neural Networks to Discover Word Similarity
This paper presents Wild Devs{'} participation in the SemEval-2017 Task 2 {``}Multi-lingual and Cross-lingual Semantic Word Similarity{''}, which tries to automatically measure the semantic similarity between two words.
\#WarTeam at SemEval-2017 Task 6: Using Neural Networks for Discovering Humorous Tweets
This paper presents the participation of {\#}WarTeam in Task 6 of SemEval2017 with a system classifying humor by comparing and ranking tweets.
