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2020 – today
- 2024
[j18]Aniket Deroy
, Kripabandhu Ghosh, Saptarshi Ghosh:
Ensemble methods for improving extractive summarization of legal case judgements. Artif. Intell. Law 32(1): 231-289 (2024)- [c65]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: 4296-4315 - [e4]Kripabandhu Ghosh, Thomas Mandl, Prasenjit Majumder, Mandar Mitra:
Working Notes of FIRE 2023 - Forum for Information Retrieval Evaluation (FIRE-WN 2023), Goa, India, December 15-18, 2023. CEUR Workshop Proceedings 3681, CEUR-WS.org 2024 [contents] - [i27]Garima Chhikara, Anurag Sharma, Kripabandhu Ghosh, Abhijnan Chakraborty:
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification. CoRR abs/2402.18502 (2024) - [i26]Aniket Deroy, Naksatra Kumar Bailung, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty:
Artificial Intelligence (AI) in Legal Data Mining. CoRR abs/2405.14707 (2024) - [i25]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 abs/2406.04136 (2024) - [i24]Garima Chhikara, Anurag Sharma, V. Gurucharan, Kripabandhu Ghosh, Abhijnan Chakraborty:
LaMSUM: A Novel Framework for Extractive Summarization of User Generated Content using LLMs. CoRR abs/2406.15809 (2024) - [i23]Yash Jakhmola, Nitish Kumar Mishra, Kripabandhu Ghosh, Tanujit Chakraborty:
Wavelet-based Temporal Attention Improves Traffic Forecasting. CoRR abs/2407.04440 (2024) - [i22]Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh:
Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization. CoRR abs/2407.12848 (2024) - [i21]Amartya Roy, Danush Khanna, Devanshu Mahapatra, Vasanthakumar, Avirup Das, Kripabandhu Ghosh:
Do the Right Thing, Just Debias! Multi-Category Bias Mitigation Using LLMs. CoRR abs/2409.16371 (2024) - [i20]Ayushman Gupta, Akhil Bhogal, Kripabandhu Ghosh:
Code-Mixer Ya Nahi: Novel Approaches to Measuring Multilingual LLMs' Code-Mixing Capabilities. CoRR abs/2410.11079 (2024) - 2023
- [j17]Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh, Adam Wyner:
DeepRhole: deep learning for rhetorical role labeling of sentences in legal case documents. Artif. Intell. Law 31(1): 53-90 (2023) - [c64]Debasis Ganguly, Jack G. Conrad, Kripabandhu Ghosh, Saptarshi Ghosh, Pawan Goyal, Paheli Bhattacharya, Shubham Kumar Nigam, Shounak Paul:
Legal IR and NLP: The History, Challenges, and State-of-the-Art. ECIR (3) 2023: 331-340 - [c63]Shaurya Vats, Atharva Zope, Somsubhra De, Anurag Sharma, Upal Bhattacharya, Shubham Kumar Nigam, Shouvik Kumar Guha, Koustav Rudra, Kripabandhu Ghosh:
LLMs - the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases. EMNLP (Findings) 2023: 12451-12474 - [c62]Soham Poddar, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh:
Overview of the FIRE 2023 Track: Artificial Intelligence on Social Media (AISoMe). FIRE (Working Notes) 2023: 1-5 - [c61]Soham Poddar, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh:
Overview of the FIRE 2023 Track: Artificial Intelligence on Social Media (AISoMe). FIRE 2023: 1-3 - [c60]Shriyank Tatawat, Kripabandhu Ghosh:
CricGPT: A GPT-aided Question-Answering system for Cricket. FIRE 2023: 44-50 - [c59]Aman Sinha, Priyanshu Raj Mall, Dwaipayan Roy, Kripabandhu Ghosh:
A Comparative Analysis of Retrievability and PageRank Measures. FIRE 2023: 67-72 - [c58]Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh:
How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization? LegalAIIA@ICAIL 2023: 8-19 - [c57]Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das:
Exemplar-Free Continual Transformer with Convolutions. ICCV 2023: 5874-5884 - [c56]Subinay Adhikary, Dwaipayan Roy, Debasis Ganguly, Shouvik Kumar Guha, Kripabandhu Ghosh:
LeDA: A System for Legal Data Annotation. JURIX 2023: 367-370 - [c55]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: 1293-1303 - [c54]Garima Chhikara, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty:
Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content. SIGIR 2023: 1996-2000 - [e3]Kripabandhu Ghosh, Thomas Mandl, Prasenjit Majumder, Mandar Mitra:
Working Notes of FIRE 2022 - Forum for Information Retrieval Evaluation, Kolkata, India, December 9-13, 2022. CEUR Workshop Proceedings 3395, CEUR-WS.org 2023 [contents] - [i19]Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh:
How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization? CoRR abs/2306.01248 (2023) - [i18]Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das:
Exemplar-Free Continual Transformer with Convolutions. CoRR abs/2308.11357 (2023) - [i17]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 abs/2310.11049 (2023) - [i16]Subinay Adhikary, Sagnik Das, Sagnik Saha, Procheta Sen, Dwaipayan Roy, Kripabandhu Ghosh:
Automated Attribute Extraction from Legal Proceedings. CoRR abs/2310.12131 (2023) - 2022
- [j16]Arpan Mandal, Kripabandhu Ghosh, Saptarshi Ghosh, Sekhar Mandal:
A sequence labeling model for catchphrase identification from legal case documents. Artif. Intell. Law 30(3): 325-358 (2022) - [j15]Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Legal case document similarity: You need both network and text. Inf. Process. Manag. 59(6): 103069 (2022) - [j14]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): 11:1-11:7 (2022) - [c53]Soham Poddar, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh:
Overview of the FIRE 2022 track: Information Retrieval from Microblogs during Disasters (IRMiDis). FIRE 2022: 12-14 - [c52]Soham Poddar, Moumita Basu, Saptarshi Ghosh, Kripabandhu Ghosh:
Overview of the FIRE 2022 track: Information Retrieval from Microblogs during Disasters (IRMiDis). FIRE (Working Notes) 2022: 309-313 - [c51]Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, Saptarshi Ghosh:
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation. AACL/IJCNLP (1) 2022: 1048-1064 - [i15]Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Legal Case Document Similarity: You Need Both Network and Text. CoRR abs/2209.12474 (2022) - [i14]Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, Saptarshi Ghosh:
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation. CoRR abs/2210.07544 (2022) - 2021
- [j13]Arpan Mandal, Kripabandhu Ghosh, Saptarshi Ghosh, Sekhar Mandal:
Unsupervised approaches for measuring textual similarity between legal court case reports. Artif. Intell. Law 29(3): 417-451 (2021) - [j12]Anurag Roy, Shalmoli Ghosh, Kripabandhu Ghosh, Saptarshi Ghosh:
An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection. ACM J. Data Inf. Qual. 13(3): 17:1-17:25 (2021) - [c50]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: 4046-4062 - [c49]Vedant Parikh, Upal Bhattacharya, Parth Mehta, Ayan Bandyopadhyay, Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh, Arindam Pal, Arnab Bhattacharya, Prasenjit Majumder:
AILA 2021: Shared task on Artificial Intelligence for Legal Assistance. FIRE 2021: 12-15 - [c48]Moumita Basu, Soham Poddar, Saptarshi Ghosh, Kripabandhu Ghosh:
Overview of the FIRE 2021 track: Information Retrieval from Microblogs during Disasters (IRMiDis). FIRE 2021: 22-24 - [c47]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: 517-526 - [c46]Paheli Bhattacharya, Soham Poddar, Koustav Rudra, Kripabandhu Ghosh, Saptarshi Ghosh:
Incorporating domain knowledge for extractive summarization of legal case documents. ICAIL 2021: 22-31 - [c45]Aniket Deroy, Paheli Bhattacharya, Kripabandhu Ghosh, Saptarshi Ghosh:
An Analytical Study of Algorithmic and Expert Summaries of Legal Cases. JURIX 2021: 90-99 - [i13]Anurag Roy, Shalmoli Ghosh, Kripabandhu Ghosh, Saptarshi Ghosh:
An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection. CoRR abs/2101.03303 (2021) - [i12]Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. CoRR abs/2101.12406 (2021) - [i11]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 JudgmentPrediction and Explanation. CoRR abs/2105.13562 (2021) - [i10]Paheli Bhattacharya, Soham Poddar, Koustav Rudra, Kripabandhu Ghosh, Saptarshi Ghosh:
Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents. CoRR abs/2106.15876 (2021) - 2020
- [j11]Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh:
Information Retrieval from Microblogs During Disasters: In the Light of IRMiDis Task. SN Comput. Sci. 1(1): 61 (2020) - [j10]Shalini Priya, Manish Bhanu, Sourav Kumar Dandapat, Kripabandhu Ghosh, Joydeep Chandra:
TAQE: Tweet Retrieval-Based Infrastructure Damage Assessment During Disasters. IEEE Trans. Comput. Soc. Syst. 7(2): 389-403 (2020) - [c44]Kaustubh Hiware, Ritam Dutt, Sayan Sinha, Sohan Patro, Kripabandhu Ghosh, Saptarshi Ghosh:
NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities. SocialNLP@ACL 2020: 15-24 - [c43]Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. IEEE BigData 2020: 3692-3701 - [c42]Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh:
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions. CIKM 2020: 1315-1324 - [c41]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: 1-11 - [c40]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: 1-3 - [c39]Kripabandhu Ghosh, Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya, Vasudeva Varma:
Retrieval of Prior Court Cases Using Witness Testimonies. JURIX 2020: 43-51 - [c38]Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity. SIGIR 2020: 1657-1660 - [i9]Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Methods for Computing Legal Document Similarity: A Comparative Study. CoRR abs/2004.12307 (2020) - [i8]Kaustubh Hiware, Ritam Dutt, Sayan Sinha, Sohan Patro, Kripabandhu Ghosh, Saptarshi Ghosh:
NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities. CoRR abs/2005.13524 (2020) - [i7]Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity. CoRR abs/2007.03225 (2020) - [i6]Ritam Dutt, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh:
Utilizing Microblogs for Assisting Post-Disaster Relief Operations via Matching Resource Needs and Availabilities. CoRR abs/2007.09368 (2020) - [i5]Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh:
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions. CoRR abs/2007.12212 (2020)
2010 – 2019
- 2019
- [j9]Ritam Dutt, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh:
Utilizing microblogs for assisting post-disaster relief operations via matching resource needs and availabilities. Inf. Process. Manag. 56(5): 1680-1697 (2019) - [j8]Abhisek Dash, Anurag Shandilya, Arindam Biswas, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty:
Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries. Proc. ACM Hum. Comput. Interact. 3(CSCW): 172:1-172:28 (2019) - [j7]Moumita Basu, Anurag Shandilya, Prannay Khosla, Kripabandhu Ghosh, Saptarshi Ghosh:
Extracting Resource Needs and Availabilities From Microblogs for Aiding Post-Disaster Relief Operations. IEEE Trans. Comput. Soc. Syst. 6(3): 604-618 (2019) - [c37]Shalini Priya, Saharsh Singh, Sourav Kumar Dandapat, Kripabandhu Ghosh, Joydeep Chandra:
Identifying infrastructure damage during earthquake using deep active learning. ASONAM 2019: 551-552 - [c36]Paheli Bhattacharya, Kaustubh Hiware, Subham Rajgaria, Nilay Pochhi, Kripabandhu Ghosh, Saptarshi Ghosh:
A Comparative Study of Summarization Algorithms Applied to Legal Case Judgments. ECIR (1) 2019: 413-428 - [c35]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: 1-12 - [c34]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: 4-6 - [c33]Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh, Adam Wyner:
Identification of Rhetorical Roles of Sentences in Indian Legal Judgments. JURIX 2019: 3-12 - [i4]Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh, Adam Wyner:
Identification of Rhetorical Roles of Sentences in Indian Legal Judgments. CoRR abs/1911.05405 (2019) - 2018
- [j6]Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth J. F. Jones, Marie-Francine Moens, Muhammad Imran:
Exploitation of Social Media for Emergency Relief and Preparedness: Recent Research and Trends. Inf. Syst. Frontiers 20(5): 901-907 (2018) - [j5]Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth J. F. Jones, Marie-Francine Moens:
Report on the Second Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP 2018) at the Web Conference (WWW) 2018. SIGIR Forum 52(2): 163-168 (2018) - [c32]Shalini Priya, Manish Bhanu, Sourav Kumar Dandapat, Kripabandhu Ghosh, Joydeep Chandra:
Characterizing Infrastructure Damage After Earthquake: A Split-Query Based IR Approach. ASONAM 2018: 202-209 - [c31]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 - [c30]Moumita Basu, Saptarshi Ghosh, Kripabandhu Ghosh:
Overview of the FIRE 2018 Track: Information Retrieval from Microblogs during Disasters (IRMiDis). FIRE (Working Notes) 2018: 1-10 - [c29]Moumita Basu, Saptarshi Ghosh, Kripabandhu Ghosh:
Overview of the FIRE 2018 track: Information Retrieval from Microblogs during Disasters (IRMiDis). FIRE 2018: 1-5 - [c28]Moumita Basu, Anurag Shandilya, Kripabandhu Ghosh, Saptarshi Ghosh:
Automatic Matching of Resource Needs and Availabilities in Microblogs for Post-Disaster Relief. WWW (Companion Volume) 2018: 25-26 - [c27]Anurag Roy, Kripabandhu Ghosh, Moumita Basu, Parth Gupta, Saptarshi Ghosh:
Retrieving Information from Multiple Sources. WWW (Companion Volume) 2018: 43-44 - [c26]Debasis Ganguly, Kripabandhu Ghosh:
Contextual Word Embedding: A Case Study in Clustering Tweets about Emergency Situations. WWW (Companion Volume) 2018: 73-74 - [c25]Anurag Shandilya, Kripabandhu Ghosh, Saptarshi Ghosh:
Fairness of Extractive Text Summarization. WWW (Companion Volume) 2018: 97-98 - [c24]Marie-Francine Moens, Gareth J. F. Jones, Saptarshi Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Kripabandhu Ghosh:
WWW'18 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness: Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 1609-1611 - [i3]Mitodru Niyogi, Kripabandhu Ghosh, Arnab Bhattacharya:
Learning Multilingual Embeddings for Cross-Lingual Information Retrieval in the Presence of Topically Aligned Corpora. CoRR abs/1804.04475 (2018) - [i2]Abhisek Dash, Anurag Shandilya, Arindam Biswas, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
Beyond ROUGE Scores in Algorithmic Summarization: Creating Fairness-Preserving Textual Summaries. CoRR abs/1810.09147 (2018) - 2017
- [j4]Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth J. F. Jones, Marie-Francine Moens:
ECIR 2017 Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP 2017). SIGIR Forum 51(1): 36-41 (2017) - [c23]Moumita Basu, Kripabandhu Ghosh, Somenath Das, Ratnadeep Dey, Somprakash Bandyopadhyay, Saptarshi Ghosh:
Identifying Post-Disaster Resource Needs and Availabilities from Microblogs. ASONAM 2017: 427-430 - [c22]Arpan Mandal, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Automatic Catchphrase Identification from Legal Court Case Documents. CIKM 2017: 2187-2190 - [c21]Anurag Roy, Trishnendu Ghorai, Kripabandhu Ghosh, Saptarshi Ghosh:
Combining Local and Global Word Embeddings for Microblog Stemming. CIKM 2017: 2267-2270 - [c20]Arpan Mandal, Raktim Chaki, Sarbajit Saha, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Measuring Similarity among Legal Court Case Documents. COMPUTE 2017: 1-9 - [c19]Kripabandhu Ghosh, Arnab Bhattacharya:
Stopword Removal: Why Bother? A Case Study on Verbose Queries. COMPUTE 2017: 99-102 - [c18]Moumita Basu, Anurag Roy, Kripabandhu Ghosh, Somprakash Bandyopadhyay, Saptarshi Ghosh:
Microblog Retrieval in a Disaster Situation: A New Test Collection for Evaluation. SMERP@ECIR 2017: 22-31 - [c17]Moumita Basu, Anurag Roy, Kripabandhu Ghosh, Somprakash Bandyopadhyay, Saptarshi Ghosh:
A Novel Word Embedding Based Stemming Approach for Microblog Retrieval During Disasters. ECIR 2017: 589-597 - [c16]Moumita Basu, Saptarshi Ghosh, Kripabandhu Ghosh, Monojit Choudhury:
Overview of the FIRE 2017 track: Information Retrieval from Microblogs during Disasters (IRMiDis). FIRE (Working Notes) 2017: 28-33 - [c15]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: 63-68 - [e2]Saptarshi Ghosh, Kripabandhu Ghosh, Tanmoy Chakraborty, Debasis Ganguly, Gareth J. F. Jones, Marie-Francine Moens:
Proceedings of the First International Workshop on Exploitation of Social Media for Emergency Relief and Preparedness co-located with European Conference on Information Retrieval, SMERP@ECIR 2017, Aberdeen, UK, April 9, 2017. CEUR Workshop Proceedings 1832, CEUR-WS.org 2017 [contents] - [i1]Prannay Khosla, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh:
Microblog Retrieval for Post-Disaster Relief: Applying and Comparing Neural IR Models. CoRR abs/1707.06112 (2017) - 2016
- [j3]Kripabandhu Ghosh, Anirban Chakraborty, Swapan Kumar Parui, Prasenjit Majumder:
Improving Information Retrieval Performance on OCRed Text in the Absence of Clean Text Ground Truth. Inf. Process. Manag. 52(5): 873-884 (2016) - [c14]Moumita Basu, Kripabandhu Ghosh, Somenath Das, Somprakash Bandyopadhyay, Saptarshi Ghosh:
Microblog Retrieval During Disasters: Comparative Evaluation of IR Methodologies. FIRE Workshop 2016: 20-38 - [c13]Kripabandhu Ghosh, Swapan Kumar Parui:
Indian Statistical Institute Kolkata at PR-SOCO 2016: A Simple Linear Regression Based Approach. FIRE (Working Notes) 2016: 48-51 - [c12]Saptarshi Ghosh, Kripabandhu Ghosh:
Overview of the FIRE 2016 Microblog track: Information Extraction from Microblogs Posted during Disasters. FIRE (Working Notes) 2016: 56-61 - [e1]Prasenjit Majumder, Mandar Mitra, Parth Mehta, Jainisha Sankhavara, Kripabandhu Ghosh:
Working notes of FIRE 2016 - Forum for Information Retrieval Evaluation, Kolkata, India, December 7-10, 2016. CEUR Workshop Proceedings 1737, CEUR-WS.org 2016 [contents] - 2015
- [j2]Kripabandhu Ghosh, Swapan K. Parui, Prasenjit Majumder:
Learning combination weights in data fusion using Genetic Algorithms. Inf. Process. Manag. 51(3): 306-328 (2015) - [c11]Kripabandhu Ghosh, Swapan Kumar Parui:
Clustered Semi-Supervised Relevance Feedback. CIKM 2015: 1723-1726 - [c10]Anirban Chakraborty, Kripabandhu Ghosh, Swapan Kumar Parui:
Retrieval from Noisy E-Discovery Corpus in the Absence of Training Data. SIGIR 2015: 755-758 - 2014
- [c9]Anirban Chakraborty, Kripabandhu Ghosh, Swapan Kumar Parui:
Building Test Collection from Old IR Literature. FIRE 2014: 121-125 - [c8]Anirban Chakraborty, Kripabandhu Ghosh, Utpal Roy:
A Word Association Based Approach for Improving Retrieval Performance from Noisy OCRed Text. KDIR 2014: 450-456 - 2013
- [c7]Kripabandhu Ghosh, Anirban Chakraborty, Swapan Kumar Parui:
Improving IR Performance from OCRed Text using Cooccurrence. FIRE 2013: 7:1-7:7 - 2012
- [j1]Ayan Bandyopadhyay, Kripabandhu Ghosh, Prasenjit Majumder, Mandar Mitra:
Query expansion for microblog retrieval. Int. J. Web Sci. 1(4): 368-380 (2012) - [c6]Ayan Bandyopadhyay, Sukomal Pal, Mandar Mitra, Prasenjit Majumder, Kripabandhu Ghosh:
Passage Retrieval for Tweet Contextualization at INEX 2012. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c5]Kripabandhu Ghosh:
Improving e-discovery using information retrieval. SIGIR 2012: 996 - [c4]Abhishek Mallik, Mandar Mitra, Kripabandhu Ghosh:
Contextual Suggestion. TREC 2012 - 2011
- [c3]Kripabandhu Ghosh, Swapan K. Parui:
Retrieval from OCR Text: RISOT Track. FIRE 2011: 214-226 - [c2]Kripabandhu Ghosh, Swapan K. Parui, Prasenjit Majumder:
Cluster-Based Relevance Feedback: Legal Track 2011. TREC 2011 - 2010
- [c1]Kripabandhu Ghosh, Swapan K. Parui, Prasenjit Majumder, Ayan Bandyopadhyay, S. John J. Raja Singh:
Indian Statistical Institute, Kolkata at TREC 2010: Legal Interactive. TREC 2010
Coauthor Index
[j18] [i26] [i22] [j17] [c64] [c62] [c61] [c58] [c57] [c55] [c54] [i19] [i18] [i17] [j16] [j15] [j14] [c53] [c52] [c51] [i15] [i14] [j13] [j12] [c49] [c48] [c47] [c46] [c45] [i13] [i12] [i10] [j11] [c44] [c43] [c42] [c41] [c40] [c38] [i9] [i8] [i7] [i6] [i5] [j9] [j8] [j7] [c36] [c35] [c34] [c33] [i4] [j6] [j5] [c31] [c30] [c29] [c28] [c27] [c25] [c24] [i2] [j4] [c23] [c22] [c21] [c20] [c18] [c17] [c16] [c15] [e2] [i1] [c14] [c12]
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