SemEval 2024 Task 1 : Textual Semantic Relatedness
The supplementary sevice over THoR Chain-of-Thought framework as part of SemEval-2024 Task 3 paper
The official fork of THoR Chain-of-Thought framework, enhanced and adapted for Emotion Cause Analysis (ECAC-2024)
Submission for SemEval 2024 - Task 8 (Subtask A)
Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).
📄 SemEval 2024 Task 8: Artificial Intelligence Text Detection System using Natural Language Processing and Neural Network techniques.
An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity
GNNs Solution of SemEval-2017 Task 7
Our submission to the SemEval2019 shared task on Hyperpartisan News Detection.
TAXI: a Taxonomy Induction Method based on Lexico-Syntactic Patterns, Substrings and Focused Crawling
[WWW 2022] KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 …
The repository contains the implementation of four baseline models for Word Sense Disambiguation, including Lesk, Naive Bayes, K-Nearest Neighbors, and BiLSTM. Additionally, a BERT-based model has been included for comparison. The models have been trained on the SemCor dataset and evaluated on the Senseval and SemEval datasets
Code for 3 papers: 1) "Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets"; 2) "LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest neighbor Classification for Sarcasm Detection"; 3) "Fuzzy Rough Nearest Neighbour Methods for Detecting Emotions, Hate Speech and Irony" by O. Kaminska, Ch. Cornelis and V. Hoste.
TüReuth Legal Code for SemEval 2023 Task 6: LegalAI.
Winner system (DAMO-NLP) of SemEval 2022 MultiCoNER shared task over 10 out of 13 tracks.
Participation to SemEval-2022 Task4 - Patronizing and Condescending Language Detection
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