K. M. Annervaz

According to our database, K. M. Annervaz authored at least 25 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Precision Empowers, Excess Distracts: Visual Question Answering With Dynamically Infused Knowledge In Language Models.

Manas Jhalani, K. M. Annervaz, Pushpak Bhattacharyya

CoRR, 2024

Learning to Switch off, Switch on, and Integrate Modalities in Large Pre-trained Transformers.

Tejas Duseja, K. M. Annervaz, Jeevithiesh Duggani, Shyam Zacharia, Michael Free, Ambedkar Dukkipati

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

2022

Predicting Reputation Score of Users in Stack-overflow with Alternate Data.

Sahil Yerawar, Sagar Jinde, P. K. Srijith, Maunendra Sankar Desarkar, K. M. Annervaz, Shubhashis Sengupta

Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

2021

An Inference Approach To Question Answering Over Knowledge Graphs.

Aayushee Gupta, K. M. Annervaz, Ambedkar Dukkipati, Shubhashis Sengupta

CoRR, 2021

ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime.

K. M. Annervaz, Pritam Kumar Nath, Ambedkar Dukkipati

CoRR, 2021

Knowledge Graph Anchored Information-Extraction for Domain-Specific Insights.

Vivek Khetan, K. M. Annervaz, Erin B. Wetherley, Elena Eneva, Shubhashis Sengupta, Andrew E. Fano

CoRR, 2021

2019

A Sequence Modeling Approach for Structured Data Extraction from Unstructured Text.

Jayati Deshmukh, K. M. Annervaz, Shubhashis Sengupta

Proceedings of the 5th Workshop on Semantic Deep Learning, 2019

Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing.

Somnath Basu Roy Chowdhury, K. M. Annervaz, Ambedkar Dukkipati

Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

2018

Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing.

K. M. Annervaz, Somnath Basu Roy Chowdhury, Ambedkar Dukkipati

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

Semi-Automated Information Extraction from Unstructured Threat Advisories.

Roshni R. Ramnani, Karthik Shivaram, Shubhashis Sengupta, K. M. Annervaz

Proceedings of the 10th Innovations in Software Engineering Conference, 2017

Towards Accurate Duplicate Bug Retrieval Using Deep Learning Techniques.

Jayati Deshmukh, K. M. Annervaz, Sanjay Podder, Shubhashis Sengupta, Neville Dubash

Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017

2016

A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference.

Biswajit Paria, K. M. Annervaz, Ambedkar Dukkipati, Ankush Chatterjee, Sanjay Podder

CoRR, 2016

LiveDoc: Showing Contextual Information Using Topic Modeling Techniques.

Jayati Deshmukh, K. M. Annervaz, Shubhashis Sengupta, Neetu Pathak

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Domain Ontology Induction Using Word Embeddings.

Niharika Gupta, Sanjay Podder, K. M. Annervaz, Shubhashis Sengupta

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

A Generic Platform to Automate Legal Knowledge Work Process Using Machine Learning.

K. M. Annervaz, Jovin George, Shubhashis Sengupta

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Data Vaporizer - Towards a Configurable Enterprise Data Storage Framework in Public Cloud.

Shubhashis Sengupta, K. M. Annervaz, Amitabh Saxena, Sanjoy Paul

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014

Multi-site data distribution for disaster recovery - A planning framework.

Shubhashis Sengupta, K. M. Annervaz

Future Gener. Comput. Syst., 2014

Comprehension support during knowledge transitions: learning from field.

Vikrant S. Kaulgud, K. M. Annervaz, Janardan Misra, Gary Titus

Proceedings of the 22nd International Conference on Program Comprehension, 2014

A Novel Text Analysis Platform for Pharmacovigilance of Clinical Drugs.

Anutosh Maitra, K. M. Annervaz, Tom Geo Jain, Madhura Shivaram, Shubhashis Sengupta

Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

2013

Code clustering workbench.

K. M. Annervaz, Vikrant S. Kaulgud, Janardan Misra, Shubhashis Sengupta, Gary Titus, Azmat Munshi

Proceedings of the 13th IEEE International Working Conference on Source Code Analysis and Manipulation, 2013

Natural language requirements quality analysis based on business domain models.

K. M. Annervaz, Vikrant S. Kaulgud, Shubhashis Sengupta, Milind Savagaonkar

Proceedings of the 2013 28th IEEE/ACM International Conference on Automated Software Engineering, 2013

2012

Java source-code clustering: unifying syntactic and semantic features.

Janardan Misra, K. M. Annervaz, Vikrant S. Kaulgud, Shubhashis Sengupta, Gary Titus

ACM SIGSOFT Softw. Eng. Notes, 2012

Software Clustering: Unifying Syntactic and Semantic Features.

Janardan Misra, K. M. Annervaz, Vikrant S. Kaulgud, Shubhashis Sengupta, Gary Titus

Proceedings of the 19th Working Conference on Reverse Engineering, 2012

ReLoC: A Resilient Loosely Coupled Application Architecture for State Management in the Cloud.

Vibhu Saujanya Sharma, Shubhashis Sengupta, K. M. Annervaz

Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012

2011

Planning for Optimal Multi-site Data Distribution for Disaster Recovery.

Shubhashis Sengupta, K. M. Annervaz

Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2011