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Found 13 papers, 2 papers with code
MasonTigers at SemEval-2024 Task 1: An Ensemble Approach for Semantic Textual Relatedness
This paper presents the MasonTigers entry to the SemEval-2024 Task 1 - Semantic Textual Relatedness.
MasonTigers at SemEval-2024 Task 8: Performance Analysis of Transformer-based Models on Machine-Generated Text Detection
This paper presents the MasonTigers entry to the SemEval-2024 Task 8 - Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detection.
MasonTigers at SemEval-2024 Task 9: Solving Puzzles with an Ensemble of Chain-of-Thoughts
Our paper presents team MasonTigers submission to the SemEval-2024 Task 9 - which provides a dataset of puzzles for testing natural language understanding.
MasonPerplexity at ClimateActivism 2024: Integrating Advanced Ensemble Techniques and Data Augmentation for Climate Activism Stance and Hate Event Identification
In the specific components of this research task, our team achieved notable positions, ranking 5th, 1st, and 6th in the respective sub-tasks, thereby illustrating the effectiveness of our approach in this important field of study.
MasonPerplexity at Multimodal Hate Speech Event Detection 2024: Hate Speech and Target Detection Using Transformer Ensembles
The automatic identification of offensive language such as hate speech is important to keep discussions civil in online communities.
MasonTigers@LT-EDI-2024: An Ensemble Approach Towards Detecting Homophobia and Transphobia in Social Media Comments
Our methodologies include monolingual transformers and ensemble methods, capitalizing on the strengths of each to enhance the performance of the models.
nlpBDpatriots at BLP-2023 Task 2: A Transfer Learning Approach to Bangla Sentiment Analysis
In this paper, we discuss the nlpBDpatriots entry to the shared task on Sentiment Analysis of Bangla Social Media Posts organized at the first workshop on Bangla Language Processing (BLP) co-located with EMNLP.
nlpBDpatriots at BLP-2023 Task 1: A Two-Step Classification for Violence Inciting Text Detection in Bangla
In this paper, we discuss the nlpBDpatriots entry to the shared task on Violence Inciting Text Detection (VITD) organized as part of the first workshop on Bangla Language Processing (BLP) co-located with EMNLP.
Offensive Language Identification in Transliterated and Code-Mixed Bangla
Identifying offensive content in social media is vital for creating safe online communities.
OffMix-3L: A Novel Code-Mixed Dataset in Bangla-English-Hindi for Offensive Language Identification
Code-mixing is a well-studied linguistic phenomenon when two or more languages are mixed in text or speech.
SentMix-3L: A Bangla-English-Hindi Code-Mixed Dataset for Sentiment Analysis
Code-mixing is a well-studied linguistic phenomenon when two or more languages are mixed in text or speech.
Determining the Optimal Number of Clusters for Time Series Datasets with Symbolic Pattern Forest
The most widely used clustering algorithms like k-means and k-shape in time series data mining also need the ground truth for the number of clusters that need to be generated.
Mixed-Distil-BERT: Code-mixed Language Modeling for Bangla, English, and Hindi
In this paper, we introduce Tri-Distil-BERT, a multilingual model pre-trained on Bangla, English, and Hindi, and Mixed-Distil-BERT, a model fine-tuned on code-mixed data.
