Papers
218 papers found
USI-IR at IEST 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection
Esteban Ríssola, Anastasia Giachanou, Fabio Crestani
Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection
Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa et al.
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
Peixiang Zhong, Di Wang, Chunyan Miao
Emotion Detection with Neural Personal Discrimination
Xiabing Zhou, Zhongqing Wang, Shoushan Li et al.
Multi-modal Multi-label Emotion Detection with Modality and Label Dependence
Dong Zhang, Xincheng Ju, Junhui Li et al.
CancerEmo: A Dataset for Fine-Grained Emotion Detection
Tiberiu Sosea, Cornelia Caragea
ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection
Sujatha Das Gollapalli, Polina Rozenshtein, See-Kiong Ng
Uncovering the Limits of Text-based Emotion Detection
Nurudin Alvarez-Gonzalez, Andreas Kaltenbrunner, Vicenç Gómez
How Language-Dependent is Emotion Detection? Evidence from Multilingual BERT
Luna De Bruyne, Pranaydeep Singh, Orphee De Clercq et al.
Improving the Generalizability of Text-Based Emotion Detection by Leveraging Transformers with Psycholinguistic Features
Sourabh Zanwar, Daniel Wiechmann, Yu Qiao et al.
A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection
Geng Tu, Ran Jing, Bin Liang et al.
Misery Loves Complexity: Exploring Linguistic Complexity in the Context of Emotion Detection
Pranaydeep Singh, Luna De Bruyne, Orphée De Clercq et al.
Towards a new Benchmark for Emotion Detection in NLP: A Unifying Framework of Recent Corpora
Anna Koufakou, Elijah Nieves, John Peller
All Models are Wrong, But Some are Deadly: Inconsistencies in Emotion Detection in Suicide-related Tweets
Annika Marie Schoene, Resmi Ramachandranpillai, Tomo Lazovich et al.
EmoBench-UA: A Benchmark Dataset for Emotion Detection in Ukrainian
Daryna Dementieva, Nikolay Babakov, Alexander Fraser
Model Calibration for Emotion Detection
Mihaela Petre-Vlad, Cornelia Caragea, Florentina Hristea
Modeling both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations
Dong Zhang, Liangqing Wu, Changlong Sun et al.
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
Peixiang Zhong, Di Wang, Chunyan Miao
Emotion Detection with Neural Personal Discrimination
Xiabing Zhou, Zhongqing Wang, Shoushan Li et al.
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection
Lixing Zhu, Gabriele Pergola, Lin Gui et al.
Positional Encoding for Capturing Modality Specific Cadence for Emotion Detection
Hira Dhamyal, Bhiksha Raj, Rita Singh
Utility-Preserving Privacy-Enabled Speech Embeddings for Emotion Detection
Chandrashekhar Lavania, Sanjiv Das, Xin Huang et al.
CLTeam1 at SemEval-2024 Task 10: Large Language Model based ensemble for Emotion Detection in Hinglish
Ankit Vaidya, Aditya Gokhale, Arnav Desai et al.
SSN_ARMM at SemEval-2024 Task 10: Emotion Detection in Multilingual Code-Mixed Conversations using LinearSVC and TF-IDF
Rohith Arumugam S, Angel Deborah S, Rajalakshmi S et al.
TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed Conversations
Ravindran V, Shreejith Babu G, Aashika Jetti et al.