conftrace_

Angel Deborah S

30 papers · 2017–2025 · 5 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+10 more ↓ πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (9) 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (8) πŸ—ΊοΈ Taxonomy Completionist (35)
πŸ—ΊοΈ Taxonomy Completionist (35) 🐝 Cross-Pollinator (9) πŸ”¬ Deep Specialist (18) 🀝 Dynamic Duo (23) 🧬 Topic Evolution πŸ† Keyword Champion (2) ⚑ Prolific Year (8) πŸ’Ž Century Club (30) πŸ—ƒοΈ Keyword Collector (87) πŸ”₯ Unstoppable (9)

Conferences

SEMEVAL (17) ACL (6) NAACL (5) COLING (1) IJCNLP (1)

Papers

RSSN at SemEval-2025 Task 11: Optimizing Multi-Label Emotion Detection with Transformer-Based Models and Threshold Tuning SEMEVAL 2025 TechSSN3 at SemEval-2025 Task 11: Multi-Label Emotion Detection Using Ensemble Transformer Models and Lexical Rules ACL 2025 TechSSN3 at SemEval-2025 Task 11: Multi-Label Emotion Detection Using Ensemble Transformer Models and Lexical Rules SEMEVAL 2025 DataBees at SemEval-2025 Task 11: Challenges and Limitations in Multi-Label Emotion Detection ACL 2025 RSSN at SemEval-2025 Task 11: Optimizing Multi-Label Emotion Detection with Transformer-Based Models and Threshold Tuning ACL 2025 TECHSSN at SemEval-2025 Task 10: A Comparative Analysis of Transformer Models for Dominant Narrative-Based News Summarization ACL 2025 TECHSSN at SemEval-2025 Task 10: A Comparative Analysis of Transformer Models for Dominant Narrative-Based News Summarization SEMEVAL 2025 DataBees at SemEval-2025 Task 11: Challenges and Limitations in Multi-Label Emotion Detection SEMEVAL 2025 SSN_ARMM at SemEval-2024 Task 10: Emotion Detection in Multilingual Code-Mixed Conversations using LinearSVC and TF-IDF NAACL 2024 TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed Conversations NAACL 2024 TECHSSN at SemEval-2024 Task 1: Multilingual Analysis for Semantic Textual Relatedness using Boosted Transformer Models NAACL 2024 TECHSSN at SemEval-2024 Task 1: Multilingual Analysis for Semantic Textual Relatedness using Boosted Transformer Models SEMEVAL 2024 TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed Conversations SEMEVAL 2024 SSN_ARMM at SemEval-2024 Task 10: Emotion Detection in Multilingual Code-Mixed Conversations using LinearSVC and TF-IDF SEMEVAL 2024 TechSSN at SemEval-2023 Task 12: Monolingual Sentiment Classification in Hausa Tweets ACL 2023 TechSSN at SemEval-2023 Task 12: Monolingual Sentiment Classification in Hausa Tweets SEMEVAL 2023 TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models NAACL 2022 TechSSN at SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification using Deep Learning Models SEMEVAL 2022 TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models SEMEVAL 2022 TechSSN at SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification using Deep Learning Models NAACL 2022 TECHSSN at SemEval-2021 Task 7: Humor and Offense detection and classification using ColBERT embeddings ACL 2021 TECHSSN at SemEval-2021 Task 7: Humor and Offense detection and classification using ColBERT embeddings IJCNLP 2021 TECHSSN at SemEval-2021 Task 7: Humor and Offense detection and classification using ColBERT embeddings SEMEVAL 2021 TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings SEMEVAL 2020 TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings COLING 2020 SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data SEMEVAL 2019 SSN MLRG1 at SemEval-2018 Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature Selection SEMEVAL 2018 SSN MLRG1 at SemEval-2018 Task 3: Irony Detection in English Tweets Using MultiLayer Perceptron SEMEVAL 2018 SSN_MLRG1 at SemEval-2017 Task 4: Sentiment Analysis in Twitter Using Multi-Kernel Gaussian Process Classifier SEMEVAL 2017 SSN_MLRG1 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis Using Multiple Kernel Gaussian Process Regression Model SEMEVAL 2017