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Journal Articles
- 2024
[j29]Madiraju Srilakshmi
, Sudeshna Sarkar:
Improved session-based recommender systems using curriculum learning. Intell. Syst. Appl. 22: 200369 (2024)- [j28]Shankho Subhra Pal, Jayanta Mukhopadhyay, Sudeshna Sarkar:
Finding hierarchy of clusters. Pattern Recognit. Lett. 178: 7-13 (2024) - 2023
- [j27]Santa Maiti, Stephan Winter, Lars Kulik, Sudeshna Sarkar:
Ad-hoc platoon formation and dissolution strategies for multi-lane highways. J. Intell. Transp. Syst. 27(2): 161-173 (2023) - [j26]Aniruddha Roy, Isha Sharma, Sudeshna Sarkar, Pawan Goyal:
Meta-ED: Cross-lingual Event Detection Using Meta-learning for Indian Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(2): 46:1-46:22 (2023) - 2022
- [j25]Madiraju Srilakshmi, Gourab Chowdhury, Sudeshna Sarkar:
Two-stage system using item features for next-item recommendation. Intell. Syst. Appl. 14: 200070 (2022) - 2020
- [j24]Ankita Saha, Jayanta Mukhopadhyay, Sudeshna Sarkar, Mahanandeeshwar Gattu:
BIOINTMED: integrated biomedical knowledge base with ontologies and clinical trials. Medical Biol. Eng. Comput. 58(10): 2339-2354 (2020) - [j23]Ayan Das, Sudeshna Sarkar:
Transform, Combine, and Transfer: Delexicalized Transfer Parser for Low-resource Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 4:1-4:30 (2020) - [j22]Ayan Das, Sudeshna Sarkar:
A Survey of the Model Transfer Approaches to Cross-Lingual Dependency Parsing. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(5): 67:1-67:60 (2020) - [j21]Santa Maiti, Stephan Winter, Lars Kulik, Sudeshna Sarkar:
The Impact of Flexible Platoon Formation Operations. IEEE Trans. Intell. Veh. 5(2): 229-239 (2020) - 2019
- [j20]Paheli Bhattacharya, Pawan Goyal, Sudeshna Sarkar:
Using Communities of Words Derived from Multilingual Word Vectors for Cross-Language Information Retrieval in Indian Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(1): 1:1-1:27 (2019) - 2016
- [j19]Paheli Bhattacharya, Pawan Goyal, Sudeshna Sarkar:
Using Word Embeddings for Query Translation for Hindi to English Cross Language Information Retrieval. Computación y Sistemas 20(3): 435-447 (2016) - [j18]Maunendra Sankar Desarkar, Sudeshna Sarkar, Pabitra Mitra:
Preference relations based unsupervised rank aggregation for metasearch. Expert Syst. Appl. 49: 86-98 (2016) - [j17]Rajendra Prasath, Sudeshna Sarkar:
Cross-Language Information Retrieval with Incorrect Query Translations. Polibits 54: 33-42 (2016) - 2015
- [j16]Rajendra Prasath, Vijai Kumar, Sudeshna Sarkar:
Assisting web document retrieval with topic identification in tourism domain. Web Intell. 13(1): 31-41 (2015) - 2014
- [j15]Sanjay Chatterji, Tanaya Mukherjee Sarkar, Pragati Dhang, Samhita Deb, Sudeshna Sarkar, Jayshree Chakraborty, Anupam Basu:
A dependency annotation scheme for Bangla treebank. Lang. Resour. Evaluation 48(3): 443-477 (2014) - 2012
- [j14]Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar:
A comparative study on feature reduction approaches in Hindi and Bengali named entity recognition. Knowl. Based Syst. 27: 322-332 (2012) - 2010
- [j13]Plaban Kumar Bhowmick, Sudeshna Sarkar, Anupam Basu:
Ontology Based User Modeling for Personalized Information Access. Int. J. Comput. Sci. Appl. 7(1): 1-22 (2010) - [j12]Plaban Kumar Bhowmick, Devshri Roy, Sudeshna Sarkar, Anupam Basu:
A Framework for Manual Ontology Engineering for Management of Learning Material Repository. Int. J. Comput. Sci. Appl. 7(2): 30-51 (2010) - [j11]Sujan Kumar Saha, Shashi Narayan, Sudeshna Sarkar, Pabitra Mitra:
A composite kernel for named entity recognition. Pattern Recognit. Lett. 31(12): 1591-1597 (2010) - 2009
- [j10]Sujan Kumar Saha, Sudeshna Sarkar, Pabitra Mitra:
Feature selection techniques for maximum entropy based biomedical named entity recognition. J. Biomed. Informatics 42(5): 905-911 (2009) - 2008
- [j9]Devshri Roy, Sudeshna Sarkar, Sujoy Ghose:
Automatic Extraction of Pedagogic Metadata from Learning Content. Int. J. Artif. Intell. Educ. 18(2): 97-118 (2008) - [j8]Sujan Kumar Saha, Parthasarathi Ghosh, Sudeshna Sarkar, Pabitra Mitra:
Named Entity Recognition in Hindi using Maximum Entropy and Transliteration. Polibits 38: 33-41 (2008) - 2007
- [j7]Sudeshna Sarkar:
Regular Expression Matching for Multi-script Databases. IEEE Data Eng. Bull. 30(1): 17-29 (2007) - [j6]Monojit Choudhury, Rahul Saraf, Vijit Jain, Animesh Mukherjee, Sudeshna Sarkar, Anupam Basu:
Investigation and modeling of the structure of texting language. Int. J. Document Anal. Recognit. 10(3-4): 157-174 (2007) - 2006
- [j5]Monojit Choudhury, Anupam Basu, Sudeshna Sarkar:
Multi-Agent Simulation of Emergence of Schwa Deletion Pattern in Hindi. J. Artif. Soc. Soc. Simul. 9(2) (2006) - 2003
- [j4]Ganga Bishnu Mund, Rajib Mall, Sudeshna Sarkar:
Computation of intraprocedural dynamic program slices. Inf. Softw. Technol. 45(8): 499-512 (2003) - 2002
- [j3]Ganga Bishnu Mund, Rajib Mall, Sudeshna Sarkar:
An efficient dynamic program slicing technique. Inf. Softw. Technol. 44(2): 123-132 (2002) - 1998
- [j2]Sudeshna Sarkar, P. P. Chakrabarti, Sujoy Ghose:
A Framework for Learning in Search-Based Systems. IEEE Trans. Knowl. Data Eng. 10(4): 563-575 (1998) - [j1]Sudeshna Sarkar, P. P. Chakrabarti, Sujoy Ghose:
Learning while solving problems in best first search. IEEE Trans. Syst. Man Cybern. Part A 28(4): 535-541 (1998)
Conference and Workshop Papers
- 2024
- [c89]Subhankar Maity, Aniket Deroy, Sudeshna Sarkar:
A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation Using GPT. ECIR (3) 2024: 268-277 - [c88]Subhankar Maity, Aniket Deroy, Sudeshna Sarkar:
How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors? EDM 2024 - [c87]Subhankar Maity, Aniket Deroy, Sudeshna Sarkar:
Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications. EDM 2024 - [c86]Alapan Kuila, Sudeshna Sarkar:
From Text to Context: An Entailment Approach for News Stakeholder Classification. SIGIR 2024: 2426-2430 - 2023
- [c85]Soma Bandyopadhyay, Sudeshna Sarkar:
Exploring Causality Aware Data Synthesis. AIMLSystems 2023: 15:1-15:9 - [c84]Subhankar Maity, Aniket Deroy, Sudeshna Sarkar:
Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language Models. FIRE 2023: 30-39 - [c83]Shankho Subhra Pal, Ankita Chatterjee, Jayanta Mukhopadhyay, Sudeshna Sarkar, Partha Pratim Das:
Fine-grain Cluster Estimation of Land Cover Classes using Landsat 8 Multispectral images. ICVGIP 2023: 12:1-12:9 - [c82]Nilanjan Mukherjee, Sudeshna Sarkar:
An Approach to Battery Pack Balancing Control Optimizing the Usable Capacity of the Battery Pack. IECON 2023: 1-6 - [c81]Shankho Subhra Pal, Jayanta Mukhopadhyay, Sudeshna Sarkar:
Semi-Supervised Semantic Segmentation of Hyper-Spectral Images. IGARSS 2023: 7657-7660 - [c80]Seyed Reza Shahamiri, Krishnendu Mandal, Sudeshna Sarkar:
Dysarthric Speech Recognition using Depthwise Separable Convolutions: Preliminary Study. SpeD 2023: 78-82 - 2022
- [c79]Aniruddha Roy, Rupak Kumar Thakur, Isha Sharma, Ashim Gupta, Amrith Krishna, Sudeshna Sarkar, Pawan Goyal:
Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages? COLING 2022: 4251-4257 - [c78]Debanjana Kar, Sudeshna Sarkar, Pawan Goyal:
ArgGen: Prompting Text Generation Models for Document-Level Event-Argument Aggregation. AACL/IJCNLP (Findings) 2022: 399-404 - [c77]Alapan Kuila, Sudeshna Sarkar:
PESE: Event Structure Extraction using Pointer Network based Encoder-Decoder Architecture. AACL/IJCNLP (1) 2022: 1091-1100 - 2021
- [c76]Shubham Pandey, Ayan Chandra, Sudeshna Sarkar, Uday Shankar:
Towards Reducing the Pendency of Cases at Court: Automated Case Analysis of Supreme Court Judgments in India. JURIX 2021: 82-89 - [c75]Ankita Saha, Jayanta Mukhopadhyay, Sudeshna Sarkar, Mahanandeeshwar Gattu:
Adverse Event Classification from Co-prescribed Drugs by Integrating Chemical, Phenotypic and Graph Embedding Features. PReMI 2021: 336-344 - 2020
- [c74]Bhargav Dave, Surupendu Gangopadhyay, Prasenjit Majumder, Pushpak Bhattacharya, Sudeshna Sarkar, Sobha Lalitha Devi:
FIRE 2020 EDNIL Track: Event Detection from News in Indian Languages. FIRE 2020: 25-28 - [c73]Bhargav Dave, Surupendu Gangopadhyay, Prasenjit Majumder, Pushpak Bhattacharya, Sudeshna Sarkar, Sobha Lalitha Devi:
Overview of the FIRE 2020 EDNIL Track: Event Detection from News in Indian Languages. FIRE (Working Notes) 2020: 806-816 - [c72]Debanjana Kar, Sudeshna Sarkar, Pawan Goyal:
Event Argument Extraction using Causal Knowledge Structures. ICON 2020: 287-296 - 2019
- [c71]Sinchani Chakraborty, Sudeshna Sarkar, Pawan Goyal, Mahanandeeshwar Gattu:
Biomedical Relation Classification by single and multiple source domain adaptation. LOUHI@EMNLP 2019: 75-80 - [c70]Sukannya Purkayastha, Ishani Mondal, Sudeshna Sarkar, Pawan Goyal, Jitesh K. Pillai:
Drug-Drug Interactions Prediction Based on Drug Embedding and Graph Auto-Encoder. BIBE 2019: 547-552 - [c69]Ayan Das, Sudeshna Sarkar:
MorphBen: A Neural Morphological Analyzer for Bengali Language. CICLing (1) 2019: 595-607 - [c68]Muthusamy Chelliah, Yong Zheng, Sudeshna Sarkar:
Recommendation for Multi-stakeholders and through Neural Review Mining. CIKM 2019: 2979-2981 - [c67]Ashim Gupta, Pawan Goyal, Sudeshna Sarkar, Mahanandeeshwar Gattu:
Fully Contextualized Biomedical NER. ECIR (2) 2019: 117-124 - [c66]Gourab Chowdhury, Madiraju Srilakshmi, Mainak Chain, Sudeshna Sarkar:
Neural Factorization for Offer Recommendation using Knowledge Graph Embeddings. eCOM@SIGIR 2019 - 2018
- [c65]Alapan Kuila, Sarath chandra Bussa, Sudeshna Sarkar:
A Neural Network based Event Extraction System for Indian Languages. FIRE (Working Notes) 2018: 291-301 - [c64]Omprakash Sonie, Sudeshna Sarkar, Surender Kumar:
Concept to code: learning distributed representation of heterogeneous sources for recommendation. RecSys 2018: 531-532 - 2017
- [c63]Prabir Mallick, Sudeshna Sarkar, Pabitra Mitra:
Decision recommendation system for transporters in an online freight exchange platform. COMSNETS 2017: 448-453 - [c62]Ayan Das, Affan Zaffar, Sudeshna Sarkar:
Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks. CoNLL Shared Task (2) 2017: 182-190 - [c61]Alapan Kuila, Sudeshna Sarkar:
An Event Extraction System via Neural Networks. FIRE (Working Notes) 2017: 136-139 - [c60]Sonam Singh, Sudeshna Sarkar, Pabitra Mitra:
A deep learning based approach with adversarial regularization for Doppler weather radar ECHO prediction. IGARSS 2017: 5205-5208 - [c59]Sonam Singh, Sudeshna Sarkar, Pabitra Mitra:
Leveraging Convolutions in Recurrent Neural Networks for Doppler Weather Radar Echo Prediction. ISNN (2) 2017: 310-317 - [c58]Debanjan Paul, Sudeshna Sarkar, Muthusamy Chelliah, Chetan Kalyan, Prajit Prashant Sinai Nadkarni:
Recommendation of High Quality Representative Reviews in e-commerce. RecSys 2017: 311-315 - [c57]Muthusamy Chelliah, Sudeshna Sarkar:
Product Recommendations Enhanced with Reviews. RecSys 2017: 398-399 - 2016
- [c56]Agnivo Saha, Sudeshna Sarkar:
Enhancing Neural Network Based Dependency Parsing Using Morphological Information for Hindi. CICLing (1) 2016: 366-377 - [c55]Ayan Das, Agnivo Saha, Sudeshna Sarkar:
Cross-lingual transfer parser from Hindi to Bengali using delexicalization and chunking. ICON 2016: 99-108 - [c54]Sulagna Gope, Sudeshna Sarkar, Pabitra Mitra, Subimal Ghosh:
Early Prediction of Extreme Rainfall Events: A Deep Learning Approach. ICDM 2016: 154-167 - [c53]Russel Aziz, Manav Kedia, Soham Dan, Sayantan Basu, Sudeshna Sarkar, Sudeshna Mitra, Pabitra Mitra:
Identifying and Characterizing Truck Stops from GPS Data. ICDM 2016: 168-182 - [c52]Ayan Das, Agnivo Saha, Sudeshna Sarkar:
Development of a Bengali parser by cross-lingual transfer from Hindi. WSSANLP@COLING 2016: 33-43 - [c51]Paheli Bhattacharya, Pawan Goyal, Sudeshna Sarkar:
Query Translation for Cross-Language Information Retrieval using Multilingual Word Clusters. WSSANLP@COLING 2016: 152-162 - [c50]Ayan Das, Pranay Yerra, Ken Kumar, Sudeshna Sarkar:
A study of attention-based neural machine translation model on Indian languages. WSSANLP@COLING 2016: 163-172 - 2015
- [c49]Rajendra Prasath, Sudeshna Sarkar, Philip O'Reilly:
Improving Cross Language Information Retrieval Using Corpus Based Query Suggestion Approach. CICLing (2) 2015: 448-457 - [c48]Russel Aziz, Manav Kedia, Soham Dan, Sudeshna Sarkar, Sudeshna Mitra, Pabitra Mitra:
Segmenting Highway Network Based on Speed Profiles. ITSC 2015: 2927-2932 - 2014
- [c47]Biswanath Barik, Sudeshna Sarkar:
Pattern based pruning of morphological alternatives of Bengali wordforms. ICACCI 2014: 1724-1730 - [c46]Arnab Dhar, Sudeshna Sarkar:
Accurate Identification of the Karta (Subject) Relation in Bangla. ICON 2014: 267-276 - [c45]Biswanath Barik, Sudeshna Sarkar:
Handling Plurality in Bengali Noun Phrases. ICON 2014: 295-304 - [c44]Rajendra Prasath, Sudeshna Sarkar, Philip O'Reilly:
RI for IR: Capturing Term Contexts Using Random Indexing for Comprehensive Information Retrieval. MICAI (1) 2014: 104-112 - [c43]Arohi Kumar, Amit Kumar Meher, Sudeshna Sarkar:
Personalized Search over Medical Forums. MIKE 2014: 11-20 - 2013
- [c42]Anshul Gupta, Aurosish Mishra, Satya Gautam Vadlamudi, P. P. Chakrabarti, Sudeshna Sarkar, Tridib Mukherjee, Nathan Gnanasambandam:
A Mobility Simulation Framework Of Humans With Group Behavior Modeling. ICDM 2013: 1067-1072 - [c41]R. Rajendra Prasath, Sudeshna Sarkar:
A Pseudo-Relevance Feedback Based Method to Find Comprehensive Web Documents. MICAI (1) 2013: 355-366 - [c40]R. Rajendra Prasath, Sudeshna Sarkar:
Query Expansion Using PRF-CBD Approach for Documents Retrieval. PReMI 2013: 495-500 - 2012
- [c39]Arnab Dhar, Sanjay Chatterji, Sudeshna Sarkar, Anupam Basu:
A Hybrid Dependency Parser for Bangla. ALR@COLING 2012: 55-64 - [c38]Sanjay Chatterji, Nabanita Datta, Arnab Dhar, Biswanath Barik, Sudeshna Sarkar, Anupam Basu:
Repairing Bengali Verb Chunks for Improved Bengali to Hindi Machine Translation. ALR@COLING 2012: 65-74 - [c37]Sanjay Chatterji, Sudeshna Sarkar, Anupam Basu:
Translations of Ambiguous Hindi Pronouns to Possible Bengali Pronouns. ALR@COLING 2012: 125-134 - [c36]Satya Gautam Vadlamudi, Partha Pratim Chakrabarti, Sudeshna Sarkar:
Anytime Algorithms for Mining Groups with Maximum Coverage. AusDM 2012: 209-220 - [c35]Sanjay Chatterji, Diptesh Chatterjee, Sudeshna Sarkar:
An Efficient Technique for De-Noising Sentences using Monolingual Corpus and Synonym Dictionary. COLING (Demos) 2012: 59-66 - [c34]Maunendra Sankar Desarkar, Sudeshna Sarkar:
User based Collaborative Filtering with Temporal Information for Purchase Data. KDIR 2012: 55-64 - [c33]Maunendra Sankar Desarkar, Sudeshna Sarkar:
Rating prediction using preference relations based matrix factorization. UMAP Workshops 2012 - [c32]Maunendra Sankar Desarkar, Roopam Saxena, Sudeshna Sarkar:
Preference Relation Based Matrix Factorization for Recommender Systems. UMAP 2012: 63-75 - 2011
- [c31]Sumit Das, Anupam Basu, Sudeshna Sarkar:
Prenominal Modifier Ordering in Bengali Text Generation. CICLing (1) 2011: 439-450 - [c30]Maunendra Sankar Desarkar, Rahul Joshi, Sudeshna Sarkar:
Displacement Based Unsupervised Metric for Evaluating Rank Aggregation. PReMI 2011: 268-273 - 2010
- [c29]R. Rajendra Prasath, Sudeshna Sarkar:
Unsupervised Feature Generation using Knowledge Repositories for Effective Text Categorization. ECAI 2010: 1101-1102 - [c28]Maunendra Sankar Desarkar, Sudeshna Sarkar, Pabitra Mitra:
Aggregating preference graphs for collaborative rating prediction. RecSys 2010: 21-28 - 2009
- [c27]Dipankar Bose, Sudeshna Sarkar:
Learning Multi Character Alignment Rules and Classification of Training Data for Transliteration. NEWS@IJCNLP 2009: 61-64 - [c26]Sumit Goswami, Sudeshna Sarkar, Mayur Rustagi:
Stylometric Analysis of Bloggers' Age and Gender. ICWSM 2009 - [c25]Mayur Rustagi, R. Rajendra Prasath, Sumit Goswami, Sudeshna Sarkar:
Learning Age and Gender of Blogger from Stylistic Variation. PReMI 2009: 205-212 - [c24]Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar:
A Semi-supervised Approach for Maximum Entropy Based Hindi Named Entity Recognition. PReMI 2009: 225-230 - [c23]Devshri Roy, Sudeshna Sarkar, Sujoy Ghose:
A personalized information retrieval module for retrieving learning materials. T4E 2009: 68-74 - 2008
- [c22]Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar:
Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER. ACL 2008: 488-495 - [c21]Sujan Kumar Saha, Sudeshna Sarkar, Pabitra Mitra:
Gazetteer Preparation for Named Entity Recognition in Indian Languages. ALR@IJCNLP 2008: 9-16 - [c20]Sujan Kumar Saha, Sanjay Chatterji, Sandipan Dandapat, Sudeshna Sarkar, Pabitra Mitra:
A Hybrid Named Entity Recognition System for South and South East Asian Languages. IJCNLP 2008: 17-24 - [c19]Debasis Mandal, Sandipan Dandapat, Mayank Gupta, Pratyush Banerjee, Sudeshna Sarkar:
Bengali and Hindi to English CLIR Evaluation. IJCNLP 2008: 65 - [c18]Sujan Kumar Saha, Sudeshna Sarkar, Pabitra Mitra:
A Hybrid Feature Set based Maximum Entropy Hindi Named Entity Recognition. IJCNLP 2008: 343-349 - [c17]Soumya Datta, Sudeshna Sarkar:
A comparative study of statistical features of language in blogs-vs-splogs. AND 2008: 63-66 - [c16]Robin Anil, Sudeshna Sarkar:
IIT Kharagpur at TREC 2008 Blog Track. TREC 2008 - 2007
- [c15]Sandipan Dandapat, Sudeshna Sarkar, Anupam Basu:
Automatic Part-of-Speech Tagging for Bengali: An Approach for Morphologically Rich Languages in a Poor Resource Scenario. ACL 2007 - [c14]Debasis Mandal, Sandipan Dandapat, Mayank Gupta, Pratyush Banerjee, Sudeshna Sarkar:
Bengali and Hindi to English Cross-language Text Retrieval under Limited Resources. CLEF (Working Notes) 2007 - [c13]Debasis Mandal, Mayank Gupta, Sandipan Dandapat, Pratyush Banerjee, Sudeshna Sarkar:
Bengali and Hindi to English CLIR Evaluation. CLEF 2007: 95-102 - [c12]Plaban Kumar Bhowmick, Sudipta Bhowmick, Devshri Roy, Sudeshna Sarkar, Anupam Basu:
Sahayika: A framework for participatory authoring of knowledge structures for education domain. ICTD 2007: 1-11 - [c11]Plaban Kumar Bhowmick, Sudeshna Sarkar, Sunandan Chakraborty, Anupam Basu:
Samvidha: A ICT system for personalized offline Internet Access for rural schools. ICTD 2007: 1-9 - [c10]Sunandan Chakraborty, Tamali Bhattacharya, Plaban Kumar Bhowmick, Anupam Basu, Sudeshna Sarkar:
Shikshak: An Intelligent Tutoring System Authoring tool for rural education. ICTD 2007: 1-10 - [c9]Monojit Choudhury, Vaibhav Jalan, Sudeshna Sarkar, Anupam Basu:
Evolution, Optimization, and Language Change: The Case of Bengali Verb Inflections. SIGMORPHON 2007: 65-74 - 2005
- [c8]Devshri Roy, Sudeshna Sarkar, Sujoy Ghose:
Automatic Annotation of Documents with Metadata for use with Tutoring System. IICAI 2005: 3576-3592 - 2004
- [c7]Sandipan Dandapat, Sudeshna Sarkar, Anupam Basu:
A Hybrid Model for Part-of-Speech Tagging and its Application to Bengali. International Conference on Computational Intelligence 2004: 169-172 - [c6]Monojit Choudhury, Anupam Basu, Sudeshna Sarkar:
A Diachronic Approach for Schwa Deletion in Indo Aryan Languages. SIGMORPHON@ACL 2004 - 2003
- [c5]Shireesh Reddy Annam, Monojit Choudhury, Sudeshna Sarkar, Anupam Basu:
ABHIDHA: An extended WordNet for Indo-Aryan Languages. RIDE 2003: 1-8 - 2002
- [c4]Mohit Goel, Sudeshna Sarkar:
Web Site Personalization Using User Profile Information. AH 2002: 510-513 - 2001
- [c3]Arindam Basak, Sudeshna Sarkar:
Introducing Local Optimization for Effective Initialization and Crossover of Genetic Decision Trees. FLAIRS 2001: 367-371 - [c2]Kinshuman, Sudeshna Sarkar:
CROWSE: A System for Organizing Repositories and Web Search Results. SIGIR 2001: 457 - 2000
- [c1]Sudeshna Sarkar, A. V. Subramaniam, Rajdeep Neogi:
Study of methods for model reduction in transition systems. SMC 2000: 172-176
Informal and Other Publications
- 2024
- [i17]Subhankar Maity, Aniket Deroy, Sudeshna Sarkar:
A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation using GPT. CoRR abs/2401.07098 (2024) - [i16]Alapan Kuila, Somnath Jena, Sudeshna Sarkar, Partha Pratim Chakrabarti:
Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models. CoRR abs/2402.02145 (2024) - [i15]Alapan Kuila, Sudeshna Sarkar:
Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies. CoRR abs/2404.04361 (2024) - [i14]Alapan Kuila, Sudeshna Sarkar:
From Text to Context: An Entailment Approach for News Stakeholder Classification. CoRR abs/2405.08751 (2024) - [i13]Subhankar Maity, Aniket Deroy, Sudeshna Sarkar:
Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications. CoRR abs/2405.11579 (2024) - [i12]Subhankar Maity, Aniket Deroy, Sudeshna Sarkar:
How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors? CoRR abs/2406.00039 (2024) - [i11]Subhankar Maity, Aniket Deroy, Sudeshna Sarkar:
How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom's Revised Taxonomy? CoRR abs/2406.15211 (2024) - [i10]Aniruddha Roy, Pretam Ray, Ayush Maheshwari, Sudeshna Sarkar, Pawan Goyal:
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study. CoRR abs/2407.06538 (2024) - 2023
- [i9]Ayan Maity, Sudeshna Sarkar:
Data-Driven Probabilistic Energy Consumption Estimation for Battery Electric Vehicles with Model Uncertainty. CoRR abs/2307.00469 (2023) - [i8]Subhankar Maity, Aniket Deroy, Sudeshna Sarkar:
Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language Models. CoRR abs/2312.01032 (2023) - 2022
- [i7]Alapan Kuila, Sudeshna Sarkar:
PESE: Event Structure Extraction using Pointer Network based Encoder-Decoder Architecture. CoRR abs/2211.12157 (2022) - [i6]Alapan Kuila, Sudeshna Sarkar:
'If you build they will come': Automatic Identification of News-Stakeholders to detect Party Preference in News Coverage. CoRR abs/2212.08864 (2022) - 2021
- [i5]Debanjana Kar, Sudeshna Sarkar, Pawan Goyal:
Event Argument Extraction using Causal Knowledge Structures. CoRR abs/2105.00477 (2021) - [i4]Debanjana Kar, Sudeshna Sarkar, Pawan Goyal:
ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation. CoRR abs/2106.10862 (2021) - 2020
- [i3]Ayan Das, Sudeshna Sarkar:
Improving cross-lingual model transfer by chunking. CoRR abs/2002.12097 (2020) - [i2]Ishani Mondal, Sukannya Purkayastha, Sudeshna Sarkar, Pawan Goyal, Jitesh K. Pillai, Amitava Bhattacharyya, Mahanandeeshwar Gattu:
Medical Entity Linking using Triplet Network. CoRR abs/2012.11164 (2020) - 2016
- [i1]Paheli Bhattacharya, Pawan Goyal, Sudeshna Sarkar:
UsingWord Embeddings for Query Translation for Hindi to English Cross Language Information Retrieval. CoRR abs/1608.01561 (2016)
Coauthor Index
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-31 21:06 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
