Arnab Bhattacharya

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 82

Top Venues

Publications

V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya
Automated Cognate Detection as a Supervised Link Prediction Task with Cognate Transformer. EACL (1) (2024)
Mitodru Niyogi, Arnab Bhattacharya
PARAMANU-AYN: An Efficient Novel Generative and Instruction-tuned Language Model for Indian Legal Case Documents. CoRR (2024)
V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya
A Likelihood Ratio Test of Genetic Relationship among Languages. NAACL-HLT (2024)
Mitodru Niyogi, Arnab Bhattacharya
Paramanu: A Family of Novel Efficient Indic Generative Foundation Language Models. CoRR (2024)
Shubham Kumar Nigam, Anurag Sharma, Danush Khanna, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts. ACL (Findings) (2024)
Shruti Sharma, Kriti Bajaj, Prasad Deshpande, Arnab Bhattacharya, Shivam Tripathi
Short-Term Fog Forecasting using Meteorological Observations at Airports in North India. COMAD/CODS (2024)
V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya
A Likelihood Ratio Test of Genetic Relationship among Languages. CoRR (2024)
Pramit Bhattacharyya, Arnab Bhattacharya
VAIYAKARANA : A Benchmark for Automatic Grammar Correction in Bangla. CoRR (2024)
Shubham Kumar Nigam, Anurag Sharma, Danush Khanna, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya
Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts. CoRR (2024)
Mitodru Niyogi, Arnab Bhattacharya
PARAMANU-GANITA: Language Model with Mathematical Capabilities. CoRR (2024)
V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya
Automated Cognate Detection as a Supervised Link Prediction Task with Cognate Transformer. CoRR (2024)
Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya
VeNoM: Approximate Subgraph Matching with Enhanced Neighbourhood Structural Information. COMAD/CODS (2024)
Shubham Kumar Nigam, Shubham Kumar Mishra, Ayush Kumar Mishra, Noel Shallum, Arnab Bhattacharya
Comparative Analysis of Artificial Intelligence for Indian Legal Question Answering (AILQA) Using Different Retrieval and QA Models. CoRR (2023)
Hrishikesh Terdalkar, Arnab Bhattacharya
Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation. CoRR (2023)
Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu
Task and Model Agnostic Adversarial Attack on Graph Neural Networks. AAAI (2023)
Shubham Kumar Nigam, Aniket Deroy, Noel Shallum, Ayush Kumar Mishra, Anup Roy, Shubham Kumar Mishra, Arnab Bhattacharya, Saptarshi Ghosh, Kripabandhu Ghosh
Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation. SemEval@ACL (2023)
Pramit Bhattacharyya, Joydeep Mondal, Subhadip Maji, Arnab Bhattacharya
Vacaspati: A Diverse Corpus of Bangla Literature. CoRR (2023)
Pramit Bhattacharyya, Joydeep Mondal, Subhadip Maji, Arnab Bhattacharya
VACASPATI: A Diverse Corpus of Bangla Literature. IJCNLP (1) (2023)
V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya
Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction. EMNLP (2023)
Shubham Kumar Nigam, Aniket Deroy, Noel Shallum, Ayush Kumar Mishra, Anup Roy, Shubham Kumar Mishra, Arnab Bhattacharya, Saptarshi Ghosh, Kripabandhu Ghosh
Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation. CoRR (2023)
Hrishikesh Terdalkar, Arnab Bhattacharya
Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs. CoRR (2023)
V. S. D. S. Mahesh Akavarapu, Arnab Bhattacharya
Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction. CoRR (2023)
Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Arnab Bhattacharya, Partha Pratim Chakrabarti, Shouvik Kumar Guha, Arindam Pal, Koustav Rudra, Prasenjit Majumder, Dwaipayan Roy, Ayan Bandopadhyay, Procheta Sen, Paheli Bhattacharya, Aniket Deroy, Upal Bhattacharya, Subinay Adhikary, Subham Kumar Nigam
Report on the 2nd Symposium on Artificial Intelligence and Law (SAIL) 2022. SIGIR Forum 56 (1) (2022)
Vijit Malik, Rishabh Sanjay, Shouvik Kumar Guha, Angshuman Hazarika, Shubham Kumar Nigam, Arnab Bhattacharya, Ashutosh Modi
Semantic Segmentation of Legal Documents via Rhetorical Roles. NLLP@EMNLP (2022)
Hrishikesh Terdalkar, Arnab Bhattacharya, Madhulika Dubey, Ramamurthy S, Bhavna Naneria Singh
Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text. CoRR (2022)
C. Oswald, Sona Elza Simon, Arnab Bhattacharya
SpotSpam: Intention Analysis-driven SMS Spam Detection Using BERT Embeddings. ACM Trans. Web 16 (3) (2022)
Shubham Kumar Nigam, Navansh Goel, Arnab Bhattacharya
nigam@COLIEE-22: Legal Case Retrieval and Entailment Using Cascading of Lexical and Semantic-Based Models. JSAI-isAI Workshops (2022)
Arnav Kapoor, Mudit Dhawan, Anmol Goel, T. H. Arjun, Akshala Bhatnagar, Vibhu Agrawal, Amul Agrawal, Arnab Bhattacharya, Ponnurangam Kumaraguru, Ashutosh Modi
HLDC: Hindi Legal Documents Corpus. ACL (Findings) (2022)
Arnav Kapoor, Mudit Dhawan, Anmol Goel, T. H. Arjun, Akshala Bhatnagar, Vibhu Agrawal, Amul Agrawal, Arnab Bhattacharya, Ponnurangam Kumaraguru, Ashutosh Modi
HLDC: Hindi Legal Documents Corpus. CoRR (2022)
Hrishikesh Terdalkar, Arnab Bhattacharya
Chandojnanam: A Sanskrit Meter Identification and Utilization System. CoRR (2022)
Hrishikesh Terdalkar, Arnab Bhattacharya
Sangrahaka: a tool for annotating and querying knowledge graphs. ESEC/SIGSOFT FSE (2021)
Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, Kripabandhu Ghosh, Shouvik Kumar Guha, Arnab Bhattacharya, Ashutosh Modi
ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation. ACL/IJCNLP (1) (2021)
Hrishikesh Terdalkar, Arnab Bhattacharya
Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs. CoRR (2021)
Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs. CIKM (2021)
Vijit Malik, Rishabh Sanjay, Shouvik Kumar Guha, Shubham Kumar Nigam, Angshuman Hazarika, Arnab Bhattacharya, Ashutosh Modi
Semantic Segmentation of Legal Documents via Rhetorical Roles. CoRR (2021)
Kartik Sharma, Samidha Verma, Sourav Medya, Sayan Ranu, Arnab Bhattacharya
Task and Model Agnostic Adversarial Attack on Graph Neural Networks. CoRR (2021)
Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs. CoRR (2021)
Parth Nagarkar, Arnab Bhattacharya, Omid Jafari
Exploring State-of-the-Art Nearest Neighbor (NN) Search Techniques. COMAD/CODS (2021)
Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, Kripa Ghosh, Shouvik Kumar Guha, Arnab Bhattacharya, Ashutosh Modi
ILDC for CJPE: Indian Legal Documents Corpus for Court JudgmentPrediction and Explanation. CoRR (2021)
Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya
VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality. CoRR (2021)
Vedant Parikh, Upal Bhattacharya, Parth Mehta, Ayan Bandyopadhyay, Paheli Bhattacharya, Kripa Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder
AILA 2021: Shared task on Artificial Intelligence for Legal Assistance. FIRE (2021)
Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya
VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality. CIKM (2021)
Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu
GraphReach: Position-Aware Graph Neural Network using Reachability Estimations. IJCAI (2021)
Vedant Parikh, Upal Bhattacharya, Parth Mehta, Ayan Bandyopadhyay, Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder
Overview of the Third Shared Task on Artificial Intelligence for Legal Assistance at FIRE 2021. FIRE (Working Notes) (2021)
Shubhadip Mitra, Priya Saraf, Arnab Bhattacharya
TIPS: Mining Top-K Locations to Minimize User-Inconvenience for Trajectory-Aware Services. IEEE Trans. Knowl. Data Eng. 33 (3) (2021)
Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya
ChiSeL: Graph Similarity Search using Chi-Squared Statistics in Large Probabilistic Graphs. Proc. VLDB Endow. 13 (10) (2020)
Paheli Bhattacharya, Parth Mehta, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder
FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance. FIRE (2020)
Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs. CIKM (2020)
Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu
GraphReach: Locality-Aware Graph Neural Networks using Reachability Estimations. CoRR (2020)
Paheli Bhattacharya, Parth Mehta, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder
Overview of the FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance. FIRE (Working Notes) (2020)
Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs. CoRR (2020)
Akhil Arora, Arnab Bhattacharya, George H. L. Fletcher
GRADES-NDA 2019: Joint International Workshop on Graph Data Management Experiences & Systems and Network Data Analytics. SIGMOD Conference (2019)
Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, Prasenjit Majumder
Overview of the FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance. FIRE (Working Notes) (2019)
Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Parth Mehta, Arnab Bhattacharya, Prasenjit Majumder
FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance. FIRE (2019)
Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya
RAQ: Relationship-Aware Graph Querying in Large Networks. WWW (2019)
Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu
NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services. COMAD/CODS (2019)
Akhil Arora, Sakshi Sinha, Piyush Kumar, Arnab Bhattacharya
HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces. Proc. VLDB Endow. 11 (8) (2018)
Devendra Kumar Luna, Girish Keshav Palshikar, Manoj Apte, Arnab Bhattacharya
Finding shell company accounts using anomaly detection. COMAD/CODS (2018)
Garima Gaur, Sumit Kalra, Arnab Bhattacharya
Patterns for Indexing Large Datasets. EuroPLoP (2018)
Apurba Sarkar, Arindam Biswas, Mousumi Dutt, Arnab Bhattacharya
Finding a largest rectangle inside a digital object and rectangularization. J. Comput. Syst. Sci. 95 (2018)
Hindol Bhattacharya, Arnab Bhattacharya, Samiran Chattopadhyay, Matangini Chattopadhyay
LDA Topic Modeling Based Dataset Dependency Matrix Prediction. CICBA (2) (2018)
Mitodru Niyogi, Kripabandhu Ghosh, Arnab Bhattacharya
Learning Multilingual Embeddings for Cross-Lingual Information Retrieval in the Presence of Topically Aligned Corpora. CoRR (2018)
Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya
Identifying User Intent and Context in Graph Queries. CoRR (2018)
Akhil Arora, Sakshi Sinha, Piyush Kumar, Arnab Bhattacharya
HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces. CoRR (2018)
Milan Someswar, Arnab Bhattacharya
MineAr: using crowd knowledge for mining association rules in the health domain. COMAD/CODS (2018)
Arindam Pal, Arnab Bhattacharya, Indrajit Bhattacharya, Kripabandhu Ghosh, Lipika Dey, Marie-Francine Moens, Saptarshi Ghosh
International Workshop on Legal Data Analytics and Mining (LeDAM 2018): Preface to the Proceedings. CIKM Workshops (2018)
Garima Gaur, Srikanta J. Bedathur, Arnab Bhattacharya
Tracking the Impact of Fact Deletions on Knowledge Graph Queries using Provenance Polynomials. CIKM (2017)
Sourav Dutta, Pratik Nayek, Arnab Bhattacharya
Neighbor-Aware Search for Approximate Labeled Graph Matching using the Chi-Square Statistics. WWW (2017)
Anuradha Awasthi, Arnab Bhattacharya, Sanchit Gupta, Ujjwal Kumar Singh
K-Dominant Skyline Join Queries: Extending the Join Paradigm to K-Dominant Skylines. ICDE (2017)
Shubhadip Mitra, Partha Dutta, Arnab Bhattacharya
Optimal Algorithms for Min-Closed, Max-Closed and Arc Consistency over Connected Row Convex Constraints. COMPUTE (2017)
Anuradha Awasthi, Arnab Bhattacharya, Sanchit Gupta, Ujjwal Kumar Singh
K-Dominant Skyline Join Queries: Extending the Join Paradigm to K-Dominant Skylines. CoRR (2017)
Shubhadip Mitra, Priya Saraf, Arnab Bhattacharya
TIPS: Mining Top-K Locations to Minimize User-Inconvenience for Trajectory-Aware Services. CoRR (2017)
Kripabandhu Ghosh, Arnab Bhattacharya
Stopword Removal: Why Bother? A Case Study on Verbose Queries. COMPUTE (2017)
Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu, Harsh Bhandari
NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services. ICDE (2017)
Sagar Parihar, Ziyaan Dadachanji, Praveen Kumar Singh, Rajdeep Das, Amey Karkare, Arnab Bhattacharya
Automatic Grading and Feedback using Program Repair for Introductory Programming Courses. ITiCSE (2017)
Shiladitya Pande, Sayan Ranu, Arnab Bhattacharya
SkyGraph: Retrieving Regions of Interest using Skyline Subgraph Queries. Proc. VLDB Endow. 10 (11) (2017)
Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Harsh Bhandari, Sayan Ranu
NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services. CoRR (2017)
Arpan Mandal, Kripabandhu Ghosh, Arnab Bhattacharya, Arindam Pal, Saptarshi Ghosh
Overview of the FIRE 2017 IRLeD Track: Information Retrieval from Legal Documents. FIRE (Working Notes) (2017)
Shubhendu Aggarwal, Shubhadip Mitra, Arnab Bhattacharya
SkyCover: Finding Range-Constrained Approximate Skylines with Bounded Quality Guarantees. COMAD (2016)
Satyajit Bhadange, Akhil Arora, Arnab Bhattacharya
GARUDA: A System for Large-Scale Mining of Statistically Significant Connected Subgraphs. Proc. VLDB Endow. 9 (13) (2016)
Apurba Sarkar, Arindam Biswas, Mousumi Dutt, Arnab Bhattacharya
Finding Largest Rectangle Inside a Digital Object. CTIC (2016)
Rohit Anurag, Arnab Bhattacharya
SMS: Stable Matching Algorithm using Skylines. SSDBM (2016)
Shubhadip Mitra, Sayan Ranu, Vinay Kolar, Aditya Telang, Arnab Bhattacharya, Ravi Kokku, Sriram Raghavan
Trajectory aware macro-cell planning for mobile users. INFOCOM (2015)
Kanish Manuja, Arnab Bhattacharya
Using social connections to improve collaborative filtering. CODS (2015)
Arpit Jain, Arnab Bhattacharya
Mining Wikileaks Data to Identify Sentiment Polarities in International Relationships. DASFAA Workshops (2015)
Arnab Bhattacharya, Shrikant Awate
Probabilistic aggregate skyline join queries: skylines with aggregate operations over existentially uncertain relations. SSDBM (2015)
Shubhadip Mitra, Sayan Ranu, Vinay Kolar, Aditya Telang, Arnab Bhattacharya, Ravi Kokku, Sriram Raghavan
Trajectory Aware Macro-cell Planning for Mobile Users. CoRR (2015)
Apurba Sarkar, Arindam Biswas, Mousumi Dutt, Arnab Bhattacharya
Generation of Random Digital Curves Using Combinatorial Techniques. CALDAM (2015)
Apurba Sarkar, Arindam Biswas, Mousumi Dutt, Arnab Bhattacharya
Generation of Random Triangular Digital Curves Using Combinatorial Techniques. PReMI (2015)
Arzoo Katiyar, Arnab Bhattacharya, Shubhadip Mitra
Efficient and Effective Route Planning in Road Networks with Probabilistic Data using Skyline Paths. CODS (2014)
Akhil Arora, Mayank Sachan, Arnab Bhattacharya
Mining statistically significant connected subgraphs in vertex labeled graphs. SIGMOD Conference (2014)
Abhishek Gera, Arnab Bhattacharya
Emotion Recognition from Audio and Visual Data using F-score based Fusion. CODS (2014)
Shashwat Mishra, Tejas Gandhi, Akhil Arora, Arnab Bhattacharya
Efficient edit distance based string similarity search using deletion neighborhoods. EDBT/ICDT Workshops (2013)
Shubhadip Mitra, Partha Dutta, Arnab Bhattacharya
Constraint Satisfaction over Generalized Staircase Constraints CoRR (2013)
Paheli Bhattacharya, Arnab Bhattacharya
Evolution of the Modern Phase of Written Bangla: A Statistical Study. CoRR (2013)
Manash Pal, Arnab Bhattacharya, Debjyoti Paul
RCached-tree: an index structure for efficiently answering popular queries. CIKM (2013)
Paheli Bhattacharya, Arnab Bhattacharya
Evolution of the Modern Phase of Written Bangla: A Statistical Study. MIKE (2013)
Akhil Arora, Ankit Gupta, Nitesh Bagmar, Shashwat Mishra, Arnab Bhattacharya
A Plant Identification System using Shape and Morphological Features on Segmented Leaflets: Team IITK, CLEF 2012. CLEF (Online Working Notes/Labs/Workshop) (2012)
Mayank Sachan, Arnab Bhattacharya
Mining Statistically Significant Substrings using the Chi-Square Statistic CoRR (2012)
Sourav Dutta, Arnab Bhattacharya
INSTRUCT: Space-Efficient Structure for Indexing and Complete Query Management of String Databases CoRR (2012)

Arnab Bhattacharya.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Arnab Bhattacharya