Gaurav Maheshwari left SDA. The profile below reflects the status at the point of his departure and is no longer updated.
Research Engineer
Enterprise Information System
Fraunhofer IAIS Dresden
Profiles: LinkedIn
Room 1.064
Zwickauer Str. 46, 01069 Dresden, Germany
Short CV
Gaurav Maheshwari is a Research Engineer at the Enterprise Information System of the Fraunhofer IAIS Dresden.
Research Interests
- Question Answering
- Natural Language Processing
- Semantic Web
- Machine Learning
Publications
2019
An Approach for Ex-Post-Facto Analysis of Knowledge Graph-Driven Chatbots - The DBpedia Chatbot Inproceedings
In: Chatbot Research and Design - Third International Workshop, CONVERSATIONS 2019, Amsterdam, The Netherlands, November 19-20, 2019, Revised Selected Papers, pp. 19–33, Springer, 2019.
2018
A Question Answering System on Regulatory Documents Inproceedings
In: Legal Knowledge and Information Systems - JURIX 2018: The Thirty-first Annual Conference, Groningen, The Netherlands, 12-14 December 2018, pp. 41–50, IOS Press, 2018.
2017
Bidirectional LSTM with a Context Input Window for Named Entity Recognition in Tweets Inproceedings
In: Proceedings of the Knowledge Capture Conference, K-CAP 2017, Austin, TX, USA, December 4-6, 2017, pp. 42:1–42:4, ACM, 2017.
How to Revert Question Answering on Knowledge Graphs Inproceedings
In: Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to - 25th, 2017, CEUR-WS.org, 2017.
2016
Arithmetic Circuit Lower Bounds via Maximum-Rank of Partial Derivative Matrices Journal Article
In: TOCT, vol. 8, no. 3, pp. 8:1–8:17, 2016.
2013
Arithmetic Circuit Lower Bounds via MaxRank Inproceedings
In: Automata, Languages, and Programming - 40th International Colloquium, ICALP 2013, Riga, Latvia, July 8-12, 2013, Proceedings, Part I, pp. 661–672, Springer, 2013.
2012
RNN Based Batch Mode Active Learning Framework Inproceedings
In: 20th European Symposium on Artificial Neural Networks, ESANN 2012, Bruges, Belgium, April 25-27, 2012, 2012.
2011
RNN Based Sampling Technique for Effective Active Learning Inproceedings
In: Machine Learning and Data Mining in Pattern Recognition, 7th International Conference, MLDM 2011, New York, USA, September/August 2011, Poster Proceedings, pp. 59–65, IBaI Publishing, 2011.