Gaurav MaheshwariStudent Assistant
Computer Science Institute
University of Bonn

Profiles: LinkedIn

Room 1.064
Endenicher Allee 19a, 53115 Bonn
University of Bonn, Computer Science
gaurav.rygbee@gmail.com

Short CV

Gaurav Maheshwari is a Student Assistant at the Computer Science Department III of the University of Bonn.

Research Interests

  • Question Answering
  • Natural Language Processing
  • Semantic Web
  • Machine Learning

Publications

2017

  • P. Trivedi, G. Maheshwari, M. Dubey, and J. Lehmann, “A Corpus for Complex Question Answering over Knowledge Graphs,” in Proceedings of 16th International Semantic Web Conference – Resources Track (ISWC’2017), 2017.
    [BibTeX] [Download PDF] 
    @InProceedings{trivedi-2017-lcquad-iswc,
Title = {A {C}orpus for {C}omplex {Q}uestion {A}nswering over {K}nowledge {G}raphs},
Author = {Trivedi, Priyansh and Maheshwari, Gaurav and Dubey, Mohnish and Lehmann, Jens},
Booktitle = {Proceedings of 16th {I}nternational {S}emantic {W}eb {C}onference - {R}esources {T}rack ({I}{S}{W}{C}'2017)},
Year = {2017},
Added-at = {2017-08-31T16:26:12.000+0200},
Biburl = {https://www.bibsonomy.org/bibtex/2c8941c5b239a812b8435a381ec8438e6/aksw},
Interhash = {e73fac9e1b601440e0b12f05c6b1a2b1},
Intrahash = {c8941c5b239a812b8435a381ec8438e6},
Keywords = {2017 group_aksw lehmann mole},
Timestamp = {2017-08-31T16:26:12.000+0200},
Url = {http://jens-lehmann.org/files/2017/iswc_lcquad.pdf}
}

  • R. Peres, D. Esteves, and G. Maheshwari, “Bidirectional LSTM with a Context Input Window for Named Entity Recognition in Tweets,” in Proceedings of the 9th International Conference on Knowledge Capture, 2017.
    [BibTeX] 
    @InProceedings{peres2017nerpt,
Title = {Bidirectional {LSTM} with a {C}ontext {I}nput {W}indow for {N}amed {E}ntity {R}ecognition
in {T}weets},
Author = {Rafael Peres and Diego Esteves and Gaurav Maheshwari},
Booktitle = {Proceedings of the 9th International Conference on Knowledge Capture},
Year = {2017},
Organization = {ACM},
Keywords = {sda esteves 2017}
}

  • G. Maheshwari, P. Trivedi, H. Sahijwani, K. Jha, S. Dasgupta, and J. Lehmann, “SimDoc: Topic Sequence Alignment based Document Similarity Framework,” in K-CAP 2017: Knowledge Capture Conference, 2017.
    [BibTeX] [Download PDF] 
    @InProceedings{simdoc,
Title = {{SimDoc}: Topic Sequence Alignment based Document Similarity Framework},
Author = {Maheshwari, Gaurav and Trivedi, Priyansh and Sahijwani, Harshita and Jha, Kunal and Dasgupta, Sourish and Lehmann, Jens},
Booktitle = {K-CAP 2017: Knowledge Capture Conference},
Year = {2017},
Organization = {ACM},
Added-at = {2017-12-01T09:57:46.000+0100},
Biburl = {https://www.bibsonomy.org/bibtex/21d3087cab3edf0ed78ca301a49df119d/aksw},
Interhash = {d738558298d1a95f7cf5283622866248},
Intrahash = {1d3087cab3edf0ed78ca301a49df119d},
Keywords = {group_aksw lehmann},
Timestamp = {2017-12-01T09:57:46.000+0100},
Url = {http://jens-lehmann.org/files/2017/kcap_simdoc.pdf}
}

  • G. Maheshwari, M. Dubey, P. Trivedi, and J. Lehmann, “How to Revert Question Answering on Knowledge Graphs,” in Proceedings of 16th International Semantic Web Conference – Poster & Demos, 2017.
    [BibTeX] [Download PDF] 
    @InProceedings{maheshwari-2017-sansa-iswc-demo,
Title = {How to Revert Question Answering on Knowledge Graphs},
Author = {Maheshwari, Gaurav and Dubey, Mohnish and Trivedi, Priyansh and Lehmann, Jens},
Booktitle = {Proceedings of 16th International Semantic Web Conference - Poster \& Demos},
Year = {2017},
Added-at = {2017-08-31T16:25:26.000+0200},
Biburl = {https://www.bibsonomy.org/bibtex/2c2bcdab20424d0c8e166943e1cd2a8af/aksw},
Interhash = {026ef0b6b83de1a5ebc9bceef028e4b4},
Intrahash = {c2bcdab20424d0c8e166943e1cd2a8af},
Keywords = {2017 group_aksw lehmann mole},
Timestamp = {2017-08-31T16:25:26.000+0200},
Url = {http://jens-lehmann.org/files/2017/iswc_pd_lcquad.pdf}
}

Tutorial

We’re hosting a Question Answering tutorial at ESWC 2018. With two hands-on sessions, we aim to create a comfortable starting point for young researchers in the field. Head over to qatutorial.sda.tech  to know more.