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Kartikay Khandelwal

dblp:145/2574 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

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

Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 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
Representation and self-supervised learning · 50% Language models and text generation · 50%
Databases, data mining, and information retrieval
1 paper
Web and social media mining · 77% Data mining · 23%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Representation and self-supervised learning › text embedding › text representation learning
cross-lingual representation learning		 0.412020
Unsupervised Cross-lingual Representation Learning at Scale · ACL 2020
Natural language and speech › Language models and text generation
masked language modeling		 0.412020
Unsupervised Cross-lingual Representation Learning at Scale · ACL 2020
Web and social media mining › social media analysis
social media summarization		 0.212014
Kondenzer: Exploration and visualization of archived social media · ICDE 2014
Data mining › clustering
document clustering		 0.112014
Kondenzer: Exploration and visualization of archived social media · ICDE 2014

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

self-supervised learning · 0.4filtering · 0.2duplicate removal · 0.2clustering · 0.2
YearPublicationVenuePosition
2020 Unsupervised Cross-lingual Representation Learning at Scale
abstract
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020.
Alexis Conneau, Kartikay Khandelwal, Naman Goyal 0001, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov
 ACL2
2014 Kondenzer: Exploration and visualization of archived social media
abstract
Modern social networks such as Twitter provide a platform for people to express their opinions on a variety of topics ranging from personal to global. While the factual part of this information and the opinions of various experts are archived by sources such as Wikipedia and reputable news articles, the opinion of the general public is drowned out in a sea of noise and “un-interesting” information. In this demo we present Kondenzer - an offline system for condensing, archiving and visualizing social data. Specifically, we create digests of social data using a combination of filtering, duplicate removal and efficient clustering. This gives a condensed set of high quality data which is used to generate facets and create a collection that can be visualized using the PivotViewer control.
Omar Alonso, Kartikay Khandelwal
 ICDE2