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2020 – today
- 2024
- [j29]Madiraju Srilakshmi
, Sudeshna Sarkar:
Improved session-based recommender systems using curriculum learning. Intell. Syst. Appl. 22: 200369 (2024) - [j28]Shankho Subhra Pal
Finding hierarchy of clusters. Pattern Recognit. Lett. 178: 7-13 (2024) - [c89]Subhankar Maity
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
From Text to Context: An Entailment Approach for News Stakeholder Classification. SIGIR 2024: 2426-2430 - [i18]Subhankar Maity, Aniket Deroy, Sudeshna Sarkar:
A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation using GPT. CoRR abs/2401.07098 (2024) - [i17]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) - [i16]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) - [i15]Alapan Kuila, Sudeshna Sarkar:
From Text to Context: An Entailment Approach for News Stakeholder Classification. CoRR abs/2405.08751 (2024) - [i14]Subhankar Maity, Aniket Deroy, Sudeshna Sarkar:
Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications. CoRR abs/2405.11579 (2024) - [i13]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) - [i12]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) - [i11]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) - [i10]Aniket Deroy, Subhankar Maity, Sudeshna Sarkar:
MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation. CoRR abs/2410.12893 (2024) - 2023
- [j27]Santa Maiti
Ad-hoc platoon formation and dissolution strategies for multi-lane highways. J. Intell. Transp. Syst. 27(2): 161-173 (2023) - [j26]Aniruddha Roy
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) - [c85]Soma Bandyopadhyay
Exploring Causality Aware Data Synthesis. AIMLSystems 2023: 15:1-15:9 - [c84]Subhankar Maity
Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language Models. FIRE 2023: 30-39 - [c83]Shankho Subhra Pal
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
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 - [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
- [j25]Madiraju Srilakshmi
Two-stage system using item features for next-item recommendation. Intell. Syst. Appl. 14: 200070 (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 - [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
- [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 - [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
- [j24]Ankita Saha
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
The Impact of Flexible Platoon Formation Operations. IEEE Trans. Intell. Veh. 5(2): 229-239 (2020) - [c74]Bhargav Dave
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 - [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)
2010 – 2019
- 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) - [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
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
Recommendation for Multi-stakeholders and through Neural Review Mining. CIKM 2019: 2979-2981 - [c67]Ashim Gupta, Pawan Goyal, Sudeshna Sarkar
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
Concept to code: learning distributed representation of heterogeneous sources for recommendation. RecSys 2018: 531-532 - 2017
- [c63]Prabir Mallick, Sudeshna Sarkar
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
A deep learning based approach with adversarial regularization for Doppler weather radar ECHO prediction. IGARSS 2017: 5205-5208 - [c59]Sonam Singh, Sudeshna Sarkar
Leveraging Convolutions in Recurrent Neural Networks for Doppler Weather Radar Echo Prediction. ISNN (2) 2017: 310-317 - [c58]Debanjan Paul, Sudeshna Sarkar
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
- [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
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) - [c56]Agnivo Saha
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
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
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 - [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) - 2015
- [j16]Rajendra Prasath
Assisting web document retrieval with topic identification in tourism domain. Web Intell. 13(1): 31-41 (2015) - [c49]Rajendra Prasath
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
Segmenting Highway Network Based on Speed Profiles. ITSC 2015: 2927-2932 - 2014
- [j15]Sanjay Chatterji, Tanaya Mukherjee Sarkar, Pragati Dhang, Samhita Deb, Sudeshna Sarkar
A dependency annotation scheme for Bangla treebank. Lang. Resour. Evaluation 48(3): 443-477 (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
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
A Mobility Simulation Framework Of Humans With Group Behavior Modeling. ICDM 2013: 1067-1072 - [c41]R. Rajendra Prasath
A Pseudo-Relevance Feedback Based Method to Find Comprehensive Web Documents. MICAI (1) 2013: 355-366 - [c40]R. Rajendra Prasath
Query Expansion Using PRF-CBD Approach for Documents Retrieval. PReMI 2013: 495-500 - 2012
- [j14]Sujan Kumar Saha
A comparative study on feature reduction approaches in Hindi and Bengali named entity recognition. Knowl. Based Syst. 27: 322-332 (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
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
Displacement Based Unsupervised Metric for Evaluating Rank Aggregation. PReMI 2011: 268-273 - 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
A composite kernel for named entity recognition. Pattern Recognit. Lett. 31(12): 1591-1597 (2010) - [c29]R. Rajendra Prasath
Unsupervised Feature Generation using Knowledge Repositories for Effective Text Categorization. ECAI 2010: 1101-1102 - [c28]Maunendra Sankar Desarkar
Aggregating preference graphs for collaborative rating prediction. RecSys 2010: 21-28
2000 – 2009
- 2009
- [j10]Sujan Kumar Saha
Feature selection techniques for maximum entropy based biomedical named entity recognition. J. Biomed. Informatics 42(5): 905-911 (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
Learning Age and Gender of Blogger from Stylistic Variation. PReMI 2009: 205-212 - [c24]Sujan Kumar Saha
A Semi-supervised Approach for Maximum Entropy Based Hindi Named Entity Recognition. PReMI 2009: 225-230 - [c23]Devshri Roy, Sudeshna Sarkar
A personalized information retrieval module for retrieving learning materials. T4E 2009: 68-74 - 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) - [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
- [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
Investigation and modeling of the structure of texting language. Int. J. Document Anal. Recognit. 10(3-4): 157-174 (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
Sahayika: A framework for participatory authoring of knowledge structures for education domain. ICTD 2007: 1-11 - [c11]Plaban Kumar Bhowmick, Sudeshna Sarkar
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 - 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) - 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
- [j4]Ganga Bishnu Mund, Rajib Mall, Sudeshna Sarkar
Computation of intraprocedural dynamic program slices. Inf. Softw. Technol. 45(8): 499-512 (2003) - [c5]Shireesh Reddy Annam, Monojit Choudhury, Sudeshna Sarkar
ABHIDHA: An extended WordNet for Indo-Aryan Languages. RIDE 2003: 1-8 - 2002
- [j3]Ganga Bishnu Mund, Rajib Mall, Sudeshna Sarkar
An efficient dynamic program slicing technique. Inf. Softw. Technol. 44(2): 123-132 (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
Study of methods for model reduction in transition systems. SMC 2000: 172-176
1990 – 1999
- 1998
- [j2]Sudeshna Sarkar
A Framework for Learning in Search-Based Systems. IEEE Trans. Knowl. Data Eng. 10(4): 563-575 (1998) - [j1]Sudeshna Sarkar
Learning while solving problems in best first search. IEEE Trans. Syst. Man Cybern. Part A 28(4): 535-541 (1998)
Coauthor Index
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