A Modified Joint Source-Channel Model for Transliteration. - Asif Ekbal; Sudip Kumar Naskar; Sivaji Bandyopadhyay (ACL, 2006)

Bengali, Hindi and Telugu to English Ad-Hoc Bilingual Task at CLEF 2007. - Sivaji Bandyopadhyay; Tapabrata Mondal; Sudip Kumar Naskar; Asif Ekbal; Rejwanul Haque; Srinivasa Rao Godhavarthy (CLEF, 2007)

Word Sense Disambiguation Using Extended WordNet. - Sudip Kumar Naskar; Sivaji Bandyopadhyay (ICCTA, 2007)

Language Independent Named Entity Transliteration. - Asif Ekbal; Sudip Kumar Naskar; Sivaji Bandyopadhyay (IICAI, 2007)

JU-SKNSB: Extended WordNet Based WSD on the English All-Words Task at SemEval-1. - Sudip Kumar Naskar; Sivaji Bandyopadhyay (SemEval@ACL, 2007)

Named Entity Transliteration. - Asif Ekbal; Sudip Kumar Naskar; Sivaji Bandyopadhyay (Int. J. Comput. Process. Orient. Lang., 2007)

Bengali, Hindi and Telugu to English Ad-hoc Bilingual Task. - Sivaji Bandyopadhyay; Tapabrata Mondal; Sudip Kumar Naskar; Asif Ekbal; Rejwanul Haque; Srinivasa Rao Godhavarthy (IJCNLP, 2008)

English-Hindi Transliteration Using Context-Informed PB-SMT: the DCU System for NEWS 2009. - Rejwanul Haque; Sandipan Dandapat; Ankit K. Srivastava; Sudip Kumar Naskar; Andy Way (NEWS@IJCNLP, 2009)

Using Supertags as Source Language Context in SMT. - Rejwanul Haque; Sudip Kumar Naskar; Yanjun Ma; Andy Way (EAMT, 2009)

Dependency Relations as Source Context in Phrase-Based SMT. - Rejwanul Haque; Sudip Kumar Naskar; Antal van den Bosch; Andy Way (PACLIC, 2009)

Experiments on Domain Adaptation for English–Hindi SMT. - Rejwanul Haque; Sudip Kumar Naskar; Josef van Genabith; Andy Way (PACLIC, 2009)

Combining Multi-Domain Statistical Machine Translation Models using Automatic Classifiers. - Pratyush Banerjee; Jinhua Du; Baoli Li 001; Sudip Kumar Naskar; Andy Way; Josef van Genabith (AMTA, 2010)

Supertags as Source Language Context in Hierarchical Phrase-Based SMT. - Rejwanul Haque; Sudip Kumar Naskar; Antal van den Bosch; Andy Way (AMTA, 2010)

Sentence Similarity-Based Source Context Modelling in PBSMT. - Rejwanul Haque; Sudip Kumar Naskar; Andy Way; Marta R. Costa-jussà; Rafael E. Banchs (IALP, 2010)

Handling Named Entities and Compound Verbs in Phrase-Based Statistical Machine Translation. - Santanu Pal; Sudip Kumar Naskar; Pavel Pecina; Sivaji Bandyopadhyay; Andy Way (MWE@COLING, 2010)

MaTrEx: the DCU MT System for NTCIR-8. - Tsuyoshi Okita 002; Jie Jiang 002; Rejwanul Haque; Hala Almaghout; Jinhua Du; Sudip Kumar Naskar; Andy Way (NTCIR, 2010)

Mitigating Problems in Analogy-based EBMT with SMT and vice versa: A Case Study with Named Entity Transliteration. - Sandipan Dandapat; Sara Morrissey; Sudip Kumar Naskar; Harold L. Somers (PACLIC, 2010)

MATREX: The DCU MT System for WMT 2010. - Sergio Penkale; Rejwanul Haque; Sandipan Dandapat; Pratyush Banerjee; Ankit K. Srivastava; Jinhua Du; Pavel Pecina; Sudip Kumar Naskar; Mikel L. Forcada; Andy Way (WMT@ACL, 2010)

Combining Semantic and Syntactic Generalization in Example-Based Machine Translation. - Sarah Ebling; Andy Way; Martin Volk 001; Sudip Kumar Naskar (EAMT, 2011)

A Comparative Evaluation of Research vs. Online MT Systems. - Antonio Toral; Federico Gaspari; Sudip Kumar Naskar; Andy Way (EAMT, 2011)

The DCU machine translation systems for IWSLT 2011. - Pratyush Banerjee; Hala Almaghout; Sudip Kumar Naskar; Johann Roturier; Jie Jiang 002; Andy Way; Josef van Genabith (IWSLT, 2011)

Domain Adaptation in Statistical Machine Translation of User-Forum Data using Component Level Mixture Modelling. - Pratyush Banerjee; Sudip Kumar Naskar; Johann Roturier; Andy Way; Josef van Genabith (MTSummit, 2011)

A Framework for Diagnostic Evaluation of MT Based on Linguistic Checkpoints. - Sudip Kumar Naskar; Antonio Toral; Federico Gaspari; Andy Way (MTSummit, 2011)

Integrating source-language context into phrase-based statistical machine translation. - Rejwanul Haque; Sudip Kumar Naskar; Antal van den Bosch; Andy Way (Mach. Transl., 2011)

Translation Quality-Based Supplementary Data Selection by Incremental Update of Translation Models. - Pratyush Banerjee; Sudip Kumar Naskar; Johann Roturier; Andy Way; Josef van Genabith (COLING, 2012)

Domain Adaptation in SMT of User-Generated Forum Content Guided by OOV Word Reduction: Normalization and/or Supplementary Data. - Pratyush Banerjee; Sudip Kumar Naskar; Johann Roturier; Andy Way; Josef van Genabith (EAMT, 2012)

DELiC4MT: A Tool for Diagnostic MT Evaluation over User-defined Linguistic Phenomena. - Antonio Toral; Sudip Kumar Naskar; Federico Gaspari; Declan Groves (Prague Bull. Math. Linguistics, 2012)

A Diagnostic Evaluation Approach for English to Hindi MT Using Linguistic Checkpoints and Error Rates. - Renu Balyan; Sudip Kumar Naskar; Antonio Toral; Niladri Chatterjee (CICLing (2), 2013)

A Hybrid Word Alignment Model for Phrase-Based Statistical Machine Translation. - Santanu Pal; Sudip Kumar Naskar; Sivaji Bandyopadhyay (HyTra@ACL, 2013)

Meta-Evaluation of a Diagnostic Quality Metric for Machine Translation. - Sudip Kumar Naskar; Antonio Toral; Federico Gaspari; Declan Groves (MTSummit, 2013)

MWE Alignment in Phrase Based Statistical Machine Translation. - Santanu Pal; Sudip Kumar Naskar; Sivaji Bandyopadhyay (MTSummit, 2013)

A Web Application for the Diagnostic Evaluation of Machine Translation over Specific Linguistic Phenomena. - Antonio Toral; Sudip Kumar Naskar; Joris Vreeke; Federico Gaspari; Declan Groves (HLT-NAACL, 2013)

Perception vs. reality: measuring machine translation post-editing productivity. - Federico Gaspari; Antonio Toral; Sudip Kumar Naskar; Declan Groves; Andy Way (WPTP@ATMA, 2014)

Role of Paraphrases in PB-SMT. - Santanu Pal; Pintu Lohar; Sudip Kumar Naskar (CICLing (2), 2014)

A Hybrid Approach for Transliterated Word-Level Language Identification: CRF with Post-Processing Heuristics. - Somnath Banerjee 001; Alapan Kuila; Aniruddha Roy; Sudip Kumar Naskar; Paolo Rosso; Sivaji Bandyopadhyay (FIRE, 2014)

Automatic Building and Using Parallel Resources for SMT from Comparable Corpora. - Santanu Pal; Partha Pakray; Sudip Kumar Naskar (HyTra@EACL, 2014)

How Sentiment Analysis Can Help Machine Translation. - Santanu Pal; Braja Gopal Patra; Dipankar Das 001; Sudip Kumar Naskar; Sivaji Bandyopadhyay; Josef van Genabith (ICON, 2014)

Word Alignment-Based Reordering of Source Chunks in PB-SMT. - Santanu Pal; Sudip Kumar Naskar; Sivaji Bandyopadhyay (LREC, 2014)

The First Resource for Bengali Question Answering Research. - Somnath Banerjee 001; Pintu Lohar; Sudip Kumar Naskar; Sivaji Bandyopadhyay (PolTAL, 2014)

Bengali Named Entity Recognition Using Margin Infused Relaxed Algorithm. - Somnath Banerjee 001; Sudip Kumar Naskar; Sivaji Bandyopadhyay (TSD, 2014)

BFQA: A Bengali Factoid Question Answering System. - Somnath Banerjee 001; Sudip Kumar Naskar; Sivaji Bandyopadhyay (TSD, 2014)

Textual Entailment Using Different Similarity Metrics. - Tanik Saikh; Sudip Kumar Naskar; Chandan Giri; Sivaji Bandyopadhyay (CICLing (1), 2015)

Entity Extraction from Social Media using Machine Learning Approaches. - Sombuddha Choudhury; Somnath Banerjee 001; Sudip Kumar Naskar; Paolo Rosso; Sivaji Bandyopadhyay (FIRE Workshops, 2015)

Adaptive Voting in Multiple Classifier Systems for Word Level Language Identification. - Soumik Mandal; Somnath Banerjee 001; Sudip Kumar Naskar; Paolo Rosso; Sivaji Bandyopadhyay (FIRE Workshops, 2015)

Overview of FIRE-2015 Shared Task on Mixed Script Information Retrieval. - Royal Sequiera; Monojit Choudhury; Parth Gupta; Paolo Rosso; Shubham Kumar; Somnath Banerjee 001; Sudip Kumar Naskar; Sivaji Bandyopadhyay; Gokul Chittaranjan; Amitava Das 001; Kunal Chakma (FIRE Workshops, 2015)

Text normalization in code-mixed social media text. - Sukanya Dutta; Tista Saha; Somnath Banerjee 001; Sudip Kumar Naskar (ReTIS, 2015)

Word sense disambiguation in Bengali: A lemmatized system increases the accuracy of the result. - Alok Ranjan Pal; Diganta Saha; Sudip Kumar Naskar; Niladri Sekhar Dash (ReTIS, 2015)

A memory based approach to word sense disambiguation in Bengali using k-NN method. - Rajat Pandit; Sudip Kumar Naskar (ReTIS, 2015)

UdS-Sant: English-German Hybrid Machine Translation System. - Santanu Pal; Sudip Kumar Naskar; Josef van Genabith (WMT@EMNLP, 2015)

USAAR-SAPE: An English-Spanish Statistical Automatic Post-Editing System. - Santanu Pal; Mihaela Vela; Sudip Kumar Naskar; Josef van Genabith (WMT@EMNLP, 2015)

Recognizing Textual Entailment by Soft Dependency Tree Matching. - Rohini Basak; Sudip Kumar Naskar; Partha Pakray; Alexander F. Gelbukh (Computación y Sistemas, 2015)

A Neural Network based Approach to Automatic Post-Editing. - Santanu Pal; Sudip Kumar Naskar; Mihaela Vela; Josef van Genabith (ACL (2), 2016)

Forest to String Based Statistical Machine Translation with Hybrid Word Alignments. - Santanu Pal; Sudip Kumar Naskar; Josef van Genabith (CICLing (2), 2016)

Multi-Engine and Multi-Alignment Based Automatic Post-Editing and its Impact on Translation Productivity. - Santanu Pal; Sudip Kumar Naskar; Josef van Genabith (COLING, 2016)

CATaLog Online: A Web-based CAT Tool for Distributed Translation with Data Capture for APE and Translation Process Research. - Santanu Pal; Sudip Kumar Naskar; Marcos Zampieri; Tapas Nayak; Josef van Genabith (COLING (Demos), 2016)

The First Cross-Script Code-Mixed Question Answering Corpus. - Somnath Banerjee 001; Sudip Kumar Naskar; Paolo Rosso; Sivaji Bandyopadhyay (MultiLingMine@ECIR, 2016)

Overview of the Mixed Script Information Retrieval (MSIR) at FIRE-2016. - Somnath Banerjee 001; Kunal Chakma; Sudip Kumar Naskar; Amitava Das 001; Paolo Rosso; Sivaji Bandyopadhyay; Monojit Choudhury (FIRE Workshop, 2016)

Word Embeddings for Information Extraction from Tweets. - Surajit Dasgupta; Abhash Kumar; Dipankar Das 001; Sudip Kumar Naskar; Sivaji Bandyopadhyay (FIRE (Working Notes), 2016)

JU_NLP@DPIL-FIRE2016: Paraphrase Detection in Indian Languages - A Machine Learning Approach. - Tanik Saikh; Sudip Kumar Naskar; Sivaji Bandyopadhyay (FIRE (Working Notes), 2016)

Biomolecular Event Extraction using a Stacked Generalization based Classifier. - Amit Majumder; Asif Ekbal; Sudip Kumar Naskar (ICON, 2016)

Statistical Natural Language Generation from Tabular Non-textual Data. - Joy Mahapatra; Sudip Kumar Naskar; Sivaji Bandyopadhyay (INLG, 2016)

CATaLog Online: Porting a Post-editing Tool to the Web. - Santanu Pal; Marcos Zampieri; Sudip Kumar Naskar; Tapas Nayak; Mihaela Vela; Josef van Genabith (LREC, 2016)

JU-USAAR: A Domain Adaptive MT System. - Koushik Pahari; Alapan Kuila; Santanu Pal; Sudip Kumar Naskar; Sivaji Bandyopadhyay; Josef van Genabith (WMT, 2016)

Textual Entailment Using Machine Translation Evaluation Metrics. - Tanik Saikh; Sudip Kumar Naskar; Asif Ekbal; Sivaji Bandyopadhyay (CICLing (1), 2017)

Neural Automatic Post-Editing Using Prior Alignment and Reranking. - Santanu Pal; Sudip Kumar Naskar; Mihaela Vela; Qun Liu 001; Josef van Genabith (EACL (2), 2017)

Solving Arithmetic Mathematical Word Problems: A Review and Recent Advancements. - Sourav Mandal 001; Sudip Kumar Naskar (ICITAM, 2017)

Unsupervised Morpheme Segmentation Through Numerical Weighting and Thresholding. - Joy Mahapatra; Sudip Kumar Naskar (ICON, 2017)

Natural Language Programing with Automatic Code Generation towards Solving Addition-Subtraction Word Problems. - Sourav Mandal 001; Sudip Kumar Naskar (ICON, 2017)

Normalization of Social Media Text using Deep Neural Networks. - Ajay Shankar Tiwari; Sudip Kumar Naskar (ICON, 2017)

Feature Selection and Class-Weight Tuning Using Genetic Algorithm for Bio-molecular Event Extraction. - Amit Majumder; Asif Ekbal; Sudip Kumar Naskar (NLDB, 2017)

Towards Generating Object-Oriented Programs Automatically from Natural Language Texts for Solving Mathematical Word Problems. - Sourav Mandal 001; Sudip Kumar Naskar (NLDB, 2017)

Named Entity Recognition on Code-Mixed Cross-Script Social Media Content. - Somnath Banerjee 001; Sudip Kumar Naskar; Paolo Rosso; Sivaji Bandyopadhyay (Computación y Sistemas, 2017)

Recognizing Textual Entailment Using Weighted Dependency Relations. - Tanik Saikh; Sudip Kumar Naskar; Asif Ekbal (CICLing (2), 2018)

Says Who? Deep Learning Models for Joint Speech Recognition, Segmentation and Diarization. - Amitrajit Sarkar; Surajit Dasgupta; Sudip Kumar Naskar; Sivaji Bandyopadhyay (ICASSP, 2018)

Keep It or Not: Word Level Quality Estimation for Post-Editing. - Prasenjit Basu; Santanu Pal; Sudip Kumar Naskar (WMT (shared task), 2018)

ITER: Improving Translation Edit Rate through Optimizable Edit Costs. - Joybrata Panja; Sudip Kumar Naskar (WMT (shared task), 2018)

Hardware efficient FIR filter design using Global Best Steered Quantum Inspired Cuckoo Search Algorithm. - Poulami Das 006; Sudip Kumar Naskar; Sankar Narayan Patra (Appl. Soft Comput., 2018)

Code mixed cross script factoid question classification - A deep learning approach. - Somnath Banerjee 001; Sudip Kumar Naskar; Paolo Rosso; Sivaji Bandyopadhyay (J. Intell. Fuzzy Syst., 2018)

A simple hybrid approach to recognizing textual entailment. - Rohini Basak; Sudip Kumar Naskar; Alexander F. Gelbukh (J. Intell. Fuzzy Syst., 2018)

Aggression Detection on Multilingual Social Media Text. - Shukrity Si; Anisha Datta; Somnath Banerjee 001; Sudip Kumar Naskar (ICCCNT, 2019)

A Simple Arithmetic Calculator to Solve Single Sentence Mathematical Word Problems. - Debargha Bhattacharjee; Hariom; Sourav Mandal 001; Sudip Kumar Naskar (ICITAM, 2019)

Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation. - Mihaela Vela; Santanu Pal; Marcos Zampieri; Sudip Kumar Naskar; Josef van Genabith (MTSummit (2), 2019)

JU_ETCE_17_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in Tweets. - Preeti Mukherjee; Mainak Pal; Somnath Banerjee 001; Sudip Kumar Naskar (SemEval@NAACL-HLT, 2019)

Word Difficulty Prediction Using Convolutional Neural Networks. - Arpan Basu; Avishek Garain; Sudip Kumar Naskar (TENCON, 2019)

JU-Saarland Submission to the WMT2019 English-Gujarati Translation Shared Task. - Riktim Mondal; Shankha Raj Nayek; Aditya Chowdhury; Santanu Pal; Sudip Kumar Naskar; Josef van Genabith (WMT (2), 2019)

Solving Arithmetic Word Problems by Object Oriented Modeling and Query-Based Information Processing. - Sourav Mandal 001; Sudip Kumar Naskar (Int. J. Artif. Intell. Tools, 2019)

Improving Semantic Similarity with Cross-Lingual Resources: A Study in Bangla - A Low Resourced Language. - Rajat Pandit; Saptarshi Sengupta; Sudip Kumar Naskar; Niladri Sekhar Dash; Mohini Mohan Sardar (Informatics, 2019)

Short-answer grading using textual entailment. - Rohini Basak; Sudip Kumar Naskar; Alexander F. Gelbukh (J. Intell. Fuzzy Syst., 2019)

Word sense induction in bengali using parallel corpora and distributional semantics. - Saptarshi Sengupta; Rajat Pandit; Parag Mitra; Sudip Kumar Naskar; Mohini Mohan Sardar (J. Intell. Fuzzy Syst., 2019)

Spyder: Aggression Detection on Multilingual Tweets. - Anisha Datta; Shukrity Si; Urbi Chakraborty; Sudip Kumar Naskar (TRAC@LREC, 2020)

The Transference Architecture for Automatic Post-Editing. - Santanu Pal; Hongfei Xu; Nico Herbig 001; Sudip Kumar Naskar; Antonio Krüger; Josef van Genabith (COLING, 2020)

A Rule Based Lightweight Bengali Stemmer. - Souvick Das; Rajat Pandit; Sudip Kumar Naskar (ICON, 2020)

Deep Neural Model for Manipuri Multiword Named Entity Recognition with Unsupervised Cluster Feature. - Jimmy Laishram; Kishorjit Nongmeikapam; Sudip Kumar Naskar (ICON, 2020)

A New Approach to Claim Check-Worthiness Prediction and Claim Verification. - Shukrity Si; Anisha Datta; Sudip Kumar Naskar (ICON, 2020)

Classifier Combination Approach for Question Classification for Bengali Question Answering System. - Somnath Banerjee 001; Sudip Kumar Naskar; Paolo Rosso; Sivaji Bandyopadhyay (CoRR, 2020)

Solving arithmetic word problems: A deep learning based approach. - Sourav Mandal 001; Arif Ahmed Sekh; Sudip Kumar Naskar (J. Intell. Fuzzy Syst., 2020)

Online Bangla handwritten word recognition using HMM and language model. - Shibaprasad Sen; Ankan Bhattacharyya; Mridul Mitra; Kaushik Roy 004; Sudip Kumar Naskar; Ram Sarkar (Neural Comput. Appl., 2020)

MSIR@FIRE: A Comprehensive Report from 2013 to 2016. - Somnath Banerjee 001; Monojit Choudhury; Kunal Chakma; Sudip Kumar Naskar; Amitava Das 001; Sivaji Bandyopadhyay; Paolo Rosso (SN Comput. Sci., 2020)

Dataset for Word Difficulty Prediction. - Avishek Garain; Arpan Basu; Sudip Kumar Naskar (IEEE DataPort, 2020)

Profiling Celebrity Profession from Twitter Data. - Kumar Gourav Das; Braja Gopal Patra; Sudip Kumar Naskar (IALP, 2021)

VDA: Deep Learning based Visual Data Analysis in Integrated Edge to Cloud Computing Environment. - Atanu Mandal; Amir Sinaeepourfard; Sudip Kumar Naskar (ICDCN (Adjunct Volume), 2021)

Identification of Relevant Quantities in Arithmetic Word Problems Using Siamese Neural Network. - Sourav Mandal 001; Arif Ahmed Sekh; Sudip Kumar Naskar (ICMC, 2021)

An Efficient BERT Based Approach to Detect Aggression and Misogyny. - Sandip Dutta; Utso Majumder; Sudip Kumar Naskar (ICON, 2021)

FinRead: A Transfer Learning Based Tool to Assess Readability of Definitions of Financial Terms. - Sohom Ghosh; Shovon Sengupta; Sudip Kumar Naskar; Sunny Kumar Singh (ICON, 2021)

Fine-tuning BERT to classify COVID19 tweets containing symptoms. - Rajarshi Roychoudhury; Sudip Kumar Naskar (SMM4H@NAACL-HLT, 2021)

Is Attention always needed? A Case Study on Language Identification from Speech. - Atanu Mandal; Santanu Pal; Indranil Dutta; Mahidas Bhattacharya; Sudip Kumar Naskar (CoRR, 2021)

In search of a suitable method for disambiguation of word senses in Bengali. - Alok Ranjan Pal; Diganta Saha; Sudip Kumar Naskar; Niladri Sekhar Dash (Int. J. Speech Technol., 2021)

Classifying and Solving Arithmetic Math Word Problems - An Intelligent Math Solver. - Sourav Mandal 001; Sudip Kumar Naskar (IEEE Trans. Learn. Technol., 2021)

Evaluating Impact of Social Media Posts by Executives on Stock Prices. - Anubhav Sarkar; Swagata Chakraborty; Sohom Ghosh; Sudip Kumar Naskar (FIRE, 2022)

Understanding the Robustness in Phoneme Production Mechanism in English and Bengali. - Suparnakanti Das; Trishita Dhara; Sirshapan Mitra; Sudip Kumar Naskar (ICDCN, 2022)

A Novel Approach towards Cross Lingual Sentiment Analysis using Transliteration and Character Embedding. - Rajarshi Roychoudhury; Subhrajit Dey; Md. Shad Akhtar; Amitava Das 001; Sudip Kumar Naskar (ICON, 2022)

LIPI at the NTCIR-16 FinNum-3 Task: Ensembling transformer based models to detect in-claim numerals in Financial Conversations. - Sohom Ghosh; Sudip Kumar Naskar (NTCIR, 2022)

FiNCAT: Financial Numeral Claim Analysis Tool. - Sohom Ghosh; Sudip Kumar Naskar (WWW (Companion Volume), 2022)

A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot. - Afia Fairoose Abedin; Amirul Islam Al Mamun; Rownak Jahan Nowrin; Amitabha Chakrabarty; Moin Mostakim; Sudip Kumar Naskar (CoRR, 2022)

FiNCAT-2: An enhanced Financial Numeral Claim Analysis Tool. - Sohom Ghosh; Sudip Kumar Naskar (Softw. Impacts, 2022)

Extracting Methodology Components from AI Research Papers: A Data-driven Factored Sequence Labeling Approach. - Madhusudan Ghosh; Debasis Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar (CIKM, 2023)

FLUEnT: Financial Language Understandability Enhancement Toolkit. - Sohom Ghosh; Sudip Kumar Naskar (COMAD/CODS, 2023)

Using Natural Language Processing to Enhance Understandability of Financial Texts. - Sohom Ghosh; Sudip Kumar Naskar (COMAD/CODS, 2023)

The Mask One At a Time Framework for Detecting the Relationship between Financial Entities. - Sohom Ghosh; Sachin Umrao; Chung-Chi Chen 001; Sudip Kumar Naskar (FIRE, 2023)

Financial Argument Analysis in Bengali. - Rima Roy; Sohom Ghosh; Sudip Kumar Naskar (FIRE, 2023)

Unleashing the Power of Large Language Models: A Hands-On Tutorial. - Payel Santra; Madhusudan Ghosh; Shrimon Mukherjee; Debasis Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar (FIRE, 2023)

LIPI at the NTCIR-17 FinArg-1 Task: Using Pre-trained Language Models for Comprehending Financial Arguments. - Swagata Chakraborty; Anubhav Sarkar; Dhairya Suman; Sohom Ghosh; Sudip Kumar Naskar (NTCIR, 2023)

IACS-LRILT: Machine Translation for Low-Resource Indic Languages. - Dhairya Suman; Atanu Mandal; Santanu Pal; Sudip Kumar Naskar (WMT, 2023)

Learning Semantic Text Similarity to rank Hypernyms of Financial Terms. - Sohom Ghosh; Ankush Chopra; Sudip Kumar Naskar (CoRR, 2023)

Enhancing AI Research Paper Analysis: Methodology Component Extraction using Factored Transformer-based Sequence Modeling Approach. - Madhusudan Ghosh; Debasis Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar (CoRR, 2023)

Learning to Rank Hypernyms of Financial Terms Using Semantic Textual Similarity. - Sohom Ghosh; Ankush Chopra; Sudip Kumar Naskar (SN Comput. Sci., 2023)

IndicFinNLP: Financial Natural Language Processing for Indian Languages. - Sohom Ghosh; Arnab Maji; Aswartha Narayana; Sudip Kumar Naskar (LREC/COLING, 2024)

"The Absence of Evidence is Not the Evidence of Absence": Fact Verification via Information Retrieval-Based In-Context Learning. - Payel Santra; Madhusudan Ghosh; Debasis Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar (DaWaK, 2024)

Chronological Evaluation of Novel Methodology Extraction from AI Literature. - Madhusudan Ghosh; Debasis Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar (JCDL, 2024)

Generator-Guided Crowd Reaction Assessment. - Sohom Ghosh; Chung-Chi Chen 001; Sudip Kumar Naskar (WWW (Companion Volume), 2024)

Attentive Fusion: A Transformer-based Approach to Multimodal Hate Speech Detection. - Atanu Mandal; Gargi Roy; Amit Barman; Indranil Dutta; Sudip Kumar Naskar (CoRR, 2024)

Convolutional Neural Networks can achieve binary bail judgement classification. - Amit Barman; Devangan Roy; Debapriya Paul; Indranil Dutta; Shouvik Kumar Guha; Samir Karmakar; Sudip Kumar Naskar (CoRR, 2024)

Effect of Leaders Voice on Financial Market: An Empirical Deep Learning Expedition on NASDAQ, NSE, and Beyond. - Arijit Das; Tanmoy Nandi; Prasanta Saha; Suman Das; Saronyo Mukherjee; Sudip Kumar Naskar; Diganta Saha (CoRR, 2024)

AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs. - Madhusudan Ghosh; Shrimon Mukherjee; Asmit Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar; Debasis Ganguly (CoRR, 2024)

Experimenting with Multi-modal Information to Predict Success of Indian IPOs. - Sohom Ghosh; Arnab Maji; N. Harsha Vardhan; Sudip Kumar Naskar (CoRR, 2024)

RExAS: Relation Extraction Using Adaptive Self-attention. - Madhusudan Ghosh; Partha Basuchowdhuri; Sudip Kumar Naskar (ICAA, 2025)

Unified Graph Networks (UGN): A Deep Neural Framework for Solving Graph Problems. - Rudrajit Dawn; Madhusudan Ghosh; Partha Basuchowdhuri; Sudip Kumar Naskar (CoRR, 2025)

MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices. - Sohom Ghosh; Arnab Maji; Sudip Kumar Naskar (CoRR, 2025)

BASIR: Budget-Assisted Sectoral Impact Ranking - A Dataset for Sector Identification and Performance Prediction Using Language Models. - Sohom Ghosh; Sudip Kumar Naskar (CoRR, 2025)

The "Curious Case of Contexts" in Retrieval-Augmented Generation With a Combination of Labeled and Unlabeled Data. - Payel Santra; Madhusudan Ghosh; Debasis Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar (WIREs Data. Mining. Knowl. Discov., 2025)