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Bharath Chintagunta

dblp:247/5927 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Trustworthy machine learning · 50% Question answering and dialogue systems · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning › robustness
adversarial robustness
0.412019
Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack · EMNLP/IJCNLP (1) 2019
Natural language and speech › Question answering and dialogue systems › dialogue
dialogue safety
0.412019
Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack · EMNLP/IJCNLP (1) 2019

Methods — techniques the papers use, named apart from their topics

adversarial training · 0.4adversarial human attack · 0.4
YearPublicationVenuePosition
2019 Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack
abstract
Emily Dinan, Samuel Humeau, Bharath Chintagunta, Jason Weston. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
Emily Dinan, Samuel Humeau 0001, Bharath Chintagunta, Jason Weston
EMNLP/IJCNLP (1)3