K. M. Annervaz

Affiliations:
  • Indian Institute of Science, Bangalore, India
  • Accenture Technology Labs


According to our database1, K. M. Annervaz authored at least 23 papers between 2011 and 2022.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

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

2021
An Inference Approach To Question Answering Over Knowledge Graphs.
CoRR, 2021

ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime.
CoRR, 2021

Knowledge Graph Anchored Information-Extraction for Domain-Specific Insights.
CoRR, 2021

2019
A Sequence Modeling Approach for Structured Data Extraction from Unstructured Text.
Proceedings of the 5th Workshop on Semantic Deep Learning, 2019

Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing.
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.
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.
Proceedings of the 10th Innovations in Software Engineering Conference, 2017

Towards Accurate Duplicate Bug Retrieval Using Deep Learning Techniques.
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.
CoRR, 2016

LiveDoc: Showing Contextual Information Using Topic Modeling Techniques.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Domain Ontology Induction Using Word Embeddings.
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.
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.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
Multi-site data distribution for disaster recovery - A planning framework.
Future Gener. Comput. Syst., 2014

Comprehension support during knowledge transitions: learning from field.
Proceedings of the 22nd International Conference on Program Comprehension, 2014

A Novel Text Analysis Platform for Pharmacovigilance of Clinical Drugs.
Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

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

2012
Java source-code clustering: unifying syntactic and semantic features.
ACM SIGSOFT Softw. Eng. Notes, 2012

Software Clustering: Unifying Syntactic and Semantic Features.
Proceedings of the 19th Working Conference on Reverse Engineering, 2012

ReLoC: A Resilient Loosely Coupled Application Architecture for State Management in the Cloud.
Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012

2011
Planning for Optimal Multi-site Data Distribution for Disaster Recovery.
Proceedings of the Economics of Grids, Clouds, Systems, and Services, 2011


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