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P.V.S. Avinesh

P.V.S. Avinesh M.Sc.

Doctoral researcher

+49 6151 16-21420
+49 6151 16-25295

Personal home page

Hochschulstraße 10
64289 Darmstadt

Office: S2|02 E117

AIPHES area

Working in Guiding Theme D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources with Dr. Christian M. Meyer

Work information

I am currently a PhD student in the research training group AIPHES and I will be working on automatic assessment of multi-document summarization.

My research interests include:

  • Summarization
  • Intelligent systems
  • Lexical Resources
  • Lexical Acquisition
  • Machine Learning

Biographical information

I did my Bachelors and Masters from Language Technologies Research Center, IIIT-Hyderabad.

My MS thesis was on “Transfer Grammar Engine and Automatic Learning of Reorder Rules in Machine Translation”.

Personal interests

Hiking, Fitness, Badminton and Swimming.

Publications

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Gruppiere nach: Publikationsjahr | Typ des Eintrags | Keine Gruppierung
Springe zu: 2020 | 2019 | 2018 | 2017
Anzahl der Einträge: 9.

2020

P. V. S., Avinesh (2020):
Information Preparation with the Human in the Loop.
Darmstadt, TU Darmstadt,
DOI: 10.25534/tuprints-00011839,
[Dissertation]

2019

P. V. S., Avinesh ; Ren, Yongli ; Meyer, Christian M. ; Chan, Jeffrey ; Bao, Zhifeng ; Sanderson, Mark
Brefeld, U. (Hrsg.) (2019):
J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation.
In: Lecture Notes in Computer Science, 11908, In: Proceedings of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2019), S. 339-355,
Cham, Switzerland, Springer, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2019), Würzburg, Germany, 16.09.2019--20.09.2019, ISBN 978-3-030-46132-4, 978-3-030-46133-1,
DOI: 10.1007/978-3-030-46133-1_21,
[Konferenzveröffentlichung]

P. V. S., Avinesh ; Meyer, Christian M. (2019):
Data-efficient Neural Text Compression with Interactive Learning.
In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, S. 2543-2554,
The 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, 02.06.2019-07.10.2019, [Konferenzveröffentlichung]

P. V. S., Avinesh (2019):
Information Preparation with the Humanin the Loop.
Darmstadt, TU Darmstadt,
[Dissertation]

2018

Zopf, Markus ; Botschen, Teresa ; Falke, Tobias ; Heinzerling, Benjamin ; Marasovic, Ana ; Mihaylov, Todor ; P. V. S., Avinesh ; Loza Mencía, Eneldo ; Fürnkranz, Johannes ; Frank, Anette (2018):
What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization.
S. 272-277, [Konferenzveröffentlichung]

Hanselowski, Andreas ; P. V. S., Avinesh ; Schiller, Benjamin ; Caspelherr, Felix ; Chaudhuri, Debanjan ; Meyer, Christian M. ; Gurevych, Iryna (2018):
A Retrospective Analysis of the Fake News Challenge Stance-Detection Task.
In: Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), S. 1859-1874,
The 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, NM, USA, 20.08.2018--26.08.2018, [Konferenzveröffentlichung]

P. V. S., Avinesh ; Hättasch, Benjamin ; Özyurt, Orkan ; Binnig, Carsten ; Meyer, Christian M. (2018):
Sherlock: A System for Interactive Summarization of Large Text Collections.
11, In: Proceedings of the VLDB Endowment, S. 1902-1905,
The 44th International Conference on Very Large Data Bases (VLDB 2018), Rio De Janerio, Brazil, 27.08.2018--31.08.2018, DOI: 10.14778/3229863.3236220,
[Konferenzveröffentlichung]

P. V. S., Avinesh ; Peyrard, Maxime ; Meyer, Christian M. (2018):
Live Blog Corpus for Summarization.
In: Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC), S. 3197-3203,
European Language Resources Association, Miyazaki, Japan, [Konferenzveröffentlichung]

2017

P. V. S., Avinesh ; Meyer, Christian M. (2017):
Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback.
Volume 1: Long Paper, In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), S. 1353-1363,
Association for Computational Linguistics, Vancouver, Canada, DOI: 10.18653/v1/P17-1124,
[Konferenzveröffentlichung]

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