Maunendra Sankar Desarkar

Orcid: 0000-0003-1963-7338

According to our database1, Maunendra Sankar Desarkar authored at least 75 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop.
Int. J. Inf. Manag., 2024

DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

DQAC: Detoxifying Query Auto-completion with Adapters.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Transformer based Multitask Learning for Image Captioning and Object Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes.
Data Min. Knowl. Discov., November, 2023

Unsupervised Domain Adaptation With Global and Local Graph Neural Networks Under Limited Supervision and Its Application to Disaster Response.
IEEE Trans. Comput. Soc. Syst., April, 2023

Towards Improvement of Grounded Cross-lingual Natural Language Inference with VisioTextual Attention.
Nat. Lang. Process. J., 2023

Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages.
CoRR, 2023

Dial-M: A Masking-based Framework for Dialogue Evaluation.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

ComplAI: Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Time-to-Event Modeling with Hypernetwork based Hawkes Process.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

On Text Style Transfer via Style-Aware Masked Language Models.
Proceedings of the 16th International Natural Language Generation Conference, 2023

SelectNoise: Unsupervised Noise Injection to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DivHSK: Diverse Headline Generation using Self-Attention based Keyword Selection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A reranking-based tweet retrieval approach for planned events.
World Wide Web, 2022

ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models.
CoRR, 2022

On Text Style Transfer via Style Masked Language Models.
CoRR, 2022

Towards Generalized and Explainable Long-Range Context Representation for Dialogue Systems.
CoRR, 2022

HyperHawkes: Hypernetwork based Neural Temporal Point Process.
CoRR, 2022

Graph Neural Network Enhanced Language Models for Efficient Multilingual Text Classification.
CoRR, 2022

Multi-Context Based Neural Approach for COVID-19 Fake-News Detection.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

GNoM: Graph Neural Network Enhanced Language Models for Disaster Related Multilingual Text Classification.
Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

Hostility Detection in Online Hindi-English Code-Mixed Conversations.
Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

Effective utilization of labeled data from related tasks using graph contrastive pretraining: application to disaster related text classification.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Predicting Reputation Score of Users in Stack-overflow with Alternate Data.
Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

Meta-X<sub>NLG</sub>: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
A neural approach for detecting inline mathematical expressions from scientific documents.
Expert Syst. J. Knowl. Eng., 2021

Supervised Graph Contrastive Pretraining for Text Classification.
CoRR, 2021

Unsupervised Domain Adaptation with Global and Local Graph Neural Networks in Limited Labeled Data Scenario: Application to Disaster Management.
CoRR, 2021

Walk in Wild: An Ensemble Approach for Hostility Detection in Hindi Posts.
CoRR, 2021

Hi-DST: A Hierarchical Approach for Scalable and Extensible Dialogue State Tracking.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Social Media Popularity Prediction of Planned Events Using Deep Learning.
Proceedings of the Advances in Information Retrieval, 2021

mTransDial: Multilingual Dataset for Transport Domain Dialog Systems (Poster).
Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

Multi-view hypergraph convolution network for semantic annotation in LBSNs.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Coarse and Fine-Grained Hostility Detection in Hindi Posts Using Fine Tuned Multilingual Embeddings.
Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

2020
IR2VEC: LLVM IR Based Scalable Program Embeddings.
ACM Trans. Archit. Code Optim., 2020

Semi-Supervised Granular Classification Framework for Resource Constrained Short-texts: Towards Retrieving Situational Information During Disaster Events.
Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

Incident Detection From Social Media Targeting Indian Traffic Scenario Using Transfer Learning.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Learning to Distract: A Hierarchical Multi-Decoder Network for Automated Generation of Long Distractors for Multiple-Choice Questions for Reading Comprehension.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Dispersion Ratio based Decision Tree Model for Classification.
Expert Syst. Appl., 2019

IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings.
CoRR, 2019

Multi-Context Information for Word Representation Learning.
Proceedings of the ACM Symposium on Document Engineering 2019, 2019

Leveraging Social Media Towards Understanding Anti-Vaccination Campaigns.
Proceedings of the 11th International Conference on Communication Systems & Networks, 2019

Term Specific TF-IDF Boosting for Detection of Rumours in Social Networks.
Proceedings of the 11th International Conference on Communication Systems & Networks, 2019

ViTag: Automatic Video Tagging Using Segmentation and Conceptual Inference.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

2018
A Neural Network-Based Ensemble Approach for Spam Detection in Twitter.
IEEE Trans. Comput. Soc. Syst., 2018

Class Specific TF-IDF Boosting for Short-text Classification: Application to Short-texts Generated During Disasters.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Personalized Tourist Package Recommendation using Graph Based Approach.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

PReFacTO: Preference Relations Based Factor Model with Topic Awareness and Offset.
Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

Get me the best: predicting best answerers in community question answering sites.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

A framework for real-time spam detection in Twitter.
Proceedings of the 10th International Conference on Communication Systems & Networks, 2018

Aggression Detection in Social Media using Deep Neural Networks.
Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying, 2018

Classification of Short-Texts Generated During Disasters: A Deep Neural Network Based Approach.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
NSEmo at EmoInt-2017: An Ensemble to Predict Emotion Intensity in Tweets.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

An Ensemble Based Method for Predicting Emotion Intensity of Tweets.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2017

Identification of Relevant Hashtags for Planned Events Using Learning to Rank.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

Exploiting Meta Attributes for Identifying Event Related Hashtags.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

IITH at CLEF 2017: Finding Relevant Tweets for Cultural Events.
Proceedings of the Working Notes of CLEF 2017, 2017

2016
Computer-Vision-Assisted Palm Rehabilitation With Supervised Learning.
IEEE Trans. Biomed. Eng., 2016

Preference relations based unsupervised rank aggregation for metasearch.
Expert Syst. Appl., 2016

CRDT: Correlation Ratio Based Decision Tree Model for Healthcare Data Mining.
Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016

2014
An Efficient Tool for Syntactic Processing of English Query Text.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2014

Diversification in news recommendation for privacy concerned users.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013
Med-Tree: A user knowledge graph framework for medical applications.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2012
Preference Relation Based Matrix Factorization for Recommender Systems.
Proceedings of the User Modeling, Adaptation, and Personalization, 2012

Rating prediction using preference relations based matrix factorization.
Proceedings of the Workshop and Poster Proceedings of the 20th Conference on User Modeling, 2012

Local learning of item dissimilarity using content and link structure.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

User based Collaborative Filtering with Temporal Information for Purchase Data.
Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012

2011
Displacement Based Unsupervised Metric for Evaluating Rank Aggregation.
Proceedings of the Pattern Recognition and Machine Intelligence, 2011

2010
Aggregating preference graphs for collaborative rating prediction.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010


  Loading...