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ORCIDRaksha Sharma
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2020 – today
- 2024
[c25]Arihant Jain, Raksha Sharma
:
Enhancing Legal Named Entity Recognition Using RoBERTa-GCN with CRF: A Nuanced Approach for Fine-Grained Entity Recognition. ECIR (3) 2024: 261-267- [c24]Swadhin Das, Akshat Khandelwal, Raksha Sharma:
Unveiling the Power of Convolutional Neural Networks: A Comprehensive Study on Remote Sensing Image Captioning and Encoder Selection. IJCNN 2024: 1-8 - [i2]Swadhin Das, Raksha Sharma:
A TextGCN-Based Decoding Approach for Improving Remote Sensing Image Captioning. CoRR abs/2409.18467 (2024) - 2023
- [c23]Venkat praneeth Reddy, Pinnapu Reddy Harshavardhan Reddy, Karanam Sai Sumedh, Raksha Sharma:
IITR at BioLaySumm Task 1: Lay Summarization of BioMedical articles using Transformers. BioNLP@ACL 2023: 625-628 - [c22]Gagan Sharma, R. Chinmay, Raksha Sharma:
Late Fusion of Transformers for Sentiment Analysis of Code-Switched Data. EMNLP (Findings) 2023: 6485-6490 - [c21]Piyush Miglani, Pranav Vatsal, Raksha Sharma:
Leveraging Small-BERT and Bio-BERT for Abbreviation Identification in Scientific Text. NLDB 2023: 566-576 - 2022
- [j1]Abhik Chakraborty, Raksha Sharma:
A deep crystal structure identification system for X-ray diffraction patterns. Vis. Comput. 38(4): 1275-1282 (2022) - [c20]Raghav Sharma, Deependra Singh, Raksha Sharma:
Named Entity Recognition System for the Biomedical Domain. FedCSIS 2022: 837-840 - [c19]Gagan Sharma, Gajanan Sunil Gitte, Shlok Goyal, Raksha Sharma:
IITR CodeBusters at SemEval-2022 Task 5: Misogyny Identification using Transformers. SemEval@NAACL 2022: 728-732 - [c18]Himil Vasava, Pramegh Uikey, Gaurav Wasnik, Raksha Sharma:
Transformer-based Architecture for Empathy Prediction and Emotion Classification. WASSA@ACL 2022: 261-264 - [i1]Divyam Goel, Raksha Sharma:
Leveraging Dependency Grammar for Fine-Grained Offensive Language Detection using Graph Convolutional Networks. CoRR abs/2205.13164 (2022) - 2021
- [c17]Amish Garg, Tanav Shah, Vinay Kumar Jain, Raksha Sharma:
CrypTop12: A Dataset For Cryptocurrency Price Movement Prediction From Tweets And Historical Prices. ICMLA 2021: 379-384 - [c16]Raksha Sharma, Girish K. Palshikar:
Virus Causes Flu: Identifying Causality in the Biomedical Domain Using an Ensemble Approach with Target-Specific Semantic Embeddings. NLDB 2021: 93-104 - [c15]Vansh Gupta, Raksha Sharma:
NLPIITR at SemEval-2021 Task 6: RoBERTa Model with Data Augmentation for Persuasion Techniques Detection. SemEval@ACL/IJCNLP 2021: 1061-1067 - [c14]Anik Mondal, Raksha Sharma:
Team_KGP at SemEval-2021 Task 7: A Deep Neural System to Detect Humor and Offense with Their Ratings in the Text Data. SemEval@ACL/IJCNLP 2021: 1169-1174 - 2020
- [c13]Abhik Chakraborty, Raksha Sharma:
See Deeper: Identifying Crystal Structure from X-ray Diffraction Patterns. CW 2020: 49-54
2010 – 2019
- 2019
- [c12]Suyash Sangwan, Raksha Sharma, Girish K. Palshikar, Asif Ekbal:
Cold Is a Disease and D-cold Is a Drug: Identifying Biological Types of Entities in the Biomedical Domain. CICLing (2) 2019: 49-60 - 2018
- [c11]Raksha Sharma, Pushpak Bhattacharyya, Sandipan Dandapat, Himanshu Sharad Bhatt:
Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification. ACL (1) 2018: 968-978 - [c10]Raksha Sharma, Girish K. Palshikar, Sachin Pawar:
An Unsupervised Approach for Cause-Effect Relation Extraction from Biomedical Text. NLDB 2018: 419-427 - 2017
- [c9]Raksha Sharma, Dibyendu Mondal, Pushpak Bhattacharyya:
A Comparison Among Significance Tests and Other Feature Building Methods for Sentiment Analysis: A First Study. CICLing (2) 2017: 3-19 - [c8]Raksha Sharma, Arpan Somani, Lakshya Kumar, Pushpak Bhattacharyya:
Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings. EMNLP 2017: 547-552 - 2016
- [c7]Raksha Sharma, Sudha Bhingardive, Pushpak Bhattacharyya:
Meaning Matters: Senses of Words are More Informative than Words for Cross-domain Sentiment Analysis. ICON 2016: 115-119 - [c6]Raksha Sharma, Pushpak Bhattacharyya:
High, Medium or Low? Detecting Intensity Variation Among polar synonyms in WordNet. GWC 2016: 389-395 - 2015
- [c5]Raksha Sharma, Mohit Gupta, Astha Agarwal, Pushpak Bhattacharyya:
Adjective Intensity and Sentiment Analysis. EMNLP 2015: 2520-2526 - [c4]Raksha Sharma, Pushpak Bhattacharyya:
Domain Sentiment Matters: A Two Stage Sentiment Analyzer. ICON 2015: 130-137 - 2014
- [c3]Raksha Sharma, Pushpak Bhattacharyya:
A Sentiment Analyzer for Hindi Using Hindi Senti Lexicon. ICON 2014: 150-155 - 2013
- [c2]Raksha Sharma, Pushpak Bhattacharyya:
Detecting Domain Dedicated Polar Words. IJCNLP 2013: 661-666
2000 – 2009
- 2009
- [c1]Raksha Sharma, Anurag Srivastava:
Optimal Design for Distributed Database Through Join Query Optimization. PDPTA 2009: 763-769
Coauthor Index
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