Unsupervised emotion detection from text using semantic and syntactic relations A Agrawal, A An 2012 IEEE/WIC/ACM international conferences on web intelligence and …, 2012 | 225 | 2012 |
Learning emotion-enriched word representations A Agrawal, A An, M Papagelis Proceedings of the 27th international conference on computational …, 2018 | 91 | 2018 |
A comprehensive analysis of preprocessing for word representation learning in affective tasks N Babanejad, A Agrawal, A An, M Papagelis Proceedings of the 58th annual meeting of the association for computational …, 2020 | 44 | 2020 |
Leveraging transitions of emotions for sarcasm detection A Agrawal, A An, M Papagelis Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 33 | 2020 |
Affective representations for sarcasm detection A Agrawal, A An The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 33 | 2018 |
Kea: Sentiment analysis of phrases within short texts A Agrawal, A An Proceedings of the 8th International Workshop on Semantic Evaluation …, 2014 | 14 | 2014 |
Detecting the magnitude of events from news articles A Agrawal, R Sahdev, H Davoudi, F Khonsari, A An, S McGrath 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 177-184, 2016 | 12 | 2016 |
Leveraging Emotion Features in News Recommendations. N Babanejad, A Agrawal, H Davoudi, A An, M Papagelis Proceedings of the 7th International Workshop on News Recommendation and …, 2019 | 11 | 2019 |
Analyzing the dialect diversity in multi-document summaries O Olabisi, A Hudson, A Jetter, A Agrawal Proceedings of the 29th International Conference on Computational …, 2022 | 6 | 2022 |
On the role of corpus ordering in language modeling A Agrawal, S Singh, L Schneider, M Samuels Proceedings of the Second Workshop on Simple and Efficient Natural Language …, 2021 | 6 | 2021 |
The role of preprocessing for word representation learning in affective tasks N Babanejad, H Davoudi, A Agrawal, A An, M Papagelis IEEE Transactions on Affective Computing 15 (1), 254-272, 2023 | 5 | 2023 |
Unsupervised knowledge graph generation using semantic similarity matching L Liu, A Omidvar, Z Ma, A Agrawal, A An Proceedings of the third workshop on deep learning for low-resource natural …, 2022 | 5 | 2022 |
Narrating Causal Graphs with Large Language Models A Phatak, VK Mago, A Agrawal, A Inbasekaran, PJ Giabbanelli HICSS 2024 / arXiv preprint arXiv:2403.07118, 2024 | 4 | 2024 |
All Translation Tools Are Not Equal: Investigating the Quality of Language Translation for Forced Migration A Agrawal, L Singh, E Jacobs, Y Liu, G Dunlevy, R Pokharel, V Uppala 2023 IEEE 10th International Conference on Data Science and Advanced …, 2023 | 4 | 2023 |
Analysis of Youtube comments to inform the design of virtual reality training simulations to target emotional arousal KR Patil, S Bhandari, A Agrawal, SK Ayer, LA Perry, MR Hallowell Journal of Construction Engineering and Management 149 (9), 04023077, 2023 | 4 | 2023 |
Selective co-occurrences for word-emotion association A Agrawal, A An Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 4 | 2016 |
MEEP: Is this engaging? prompting large language models for dialogue evaluation in multilingual settings A Ferron, A Shore, E Mitra, A Agrawal Findings of the Association for Computational Linguistics: EMNLP 2023, 2078-2100, 2023 | 3 | 2023 |
Trajectory-User Linking using Higher-order Mobility Flow Representations M Alsaeed, A Agrawal, M Papagelis 2023 24th IEEE International Conference on Mobile Data Management (MDM), 158-167, 2023 | 3 | 2023 |
Conversation derailment forecasting with graph convolutional networks E Altarawneh, A Agrawal, M Jenkin, M Papagelis arXiv preprint arXiv:2306.12982, 2023 | 3 | 2023 |
Enriching Affect Analysis Through Emotion and Sarcasm Detection A Agrawal York University, 2018 | 3 | 2018 |