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Nithish Kannen
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2020 – today
- 2024
- [c4]Nithish Kannen, Yao Ma, Gerrit J. J. van den Burg, Jean Baptiste Faddoul:
Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation. EMNLP (Findings) 2024: 12403-12418 - [i4]Nithish Kannen, Arif Ahmad, Marco Andreetto, Vinodkumar Prabhakaran, Utsav Prabhu, Adji Bousso Dieng, Pushpak Bhattacharyya, Shachi Dave:
Beyond Aesthetics: Cultural Competence in Text-to-Image Models. CoRR abs/2407.06863 (2024) - 2023
- [c3]Nithish Kannen, Udit Sharma, Sumit Neelam, Dinesh Khandelwal, Shajith Ikbal, Hima Karanam, L. Venkata Subramaniam:
Best of Both Worlds: Towards Improving Temporal Knowledge Base Question Answering via Targeted Fact Extraction. EMNLP 2023: 4729-4744 - [c2]Rajdeep Mukherjee, Nithish Kannen, Saurabh Kumar Pandey
, Pawan Goyal:
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction. EMNLP (Findings) 2023: 12065-12080 - [i3]Rajdeep Mukherjee, Nithish Kannen, Saurabh Kumar Pandey, Pawan Goyal:
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction. CoRR abs/2310.15577 (2023) - 2022
- [c1]Nithish Kannen, Divyanshu Sheth, Abhranil Chandra, Shubhraneel Pal:
CABACE: Injecting Character Sequence Information and Domain Knowledge for Enhanced Acronym and Long-Form Extraction. SDU@AAAI 2022 - [i2]Nithish Kannen, Udit Sharma, Sumit Neelam, Dinesh Khandelwal, Shajith Ikbal, Hima Karanam, L. Venkata Subramaniam:
Targeted Extraction of Temporal Facts from Textual Resources for Improved Temporal Question Answering over Knowledge Bases. CoRR abs/2203.11054 (2022) - 2021
- [i1]Nithish Kannen, Divyanshu Sheth, Abhranil Chandra, Shubhraneel Pal:
CABACE: Injecting Character Sequence Information and Domain Knowledge for Enhanced Acronym and Long-Form Extraction. CoRR abs/2112.13237 (2021)
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