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researcher

Yatin Chaudhary

Siemens AG

10 papers hereh-index 7191 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author5

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL8
  • cs.IR1
  • cs.LG1
affiliations
  • Siemens AG
  • University of Munich

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedNeural Topic Modeling with Continual Lifelong Learning

20 citations · 34 across the 8 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cs.LG2019

BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions

Yatin Chaudhary, Pankaj Gupta, Hinrich Schütze

This paper presents our system details and results of participation in the RDoC Tasks of BioNLP-OST 2019. Research Domain Criteria (RDoC) construct is a multi-dimensional and broad…

cs.IR2019

Lifelong Neural Topic Learning in Contextualized Autoregressive Topic Models of Language via Informative Transfers

Yatin Chaudhary, Pankaj Gupta, Thomas Runkler

Topic models such as LDA, DocNADE, iDocNADEe have been popular in document analysis. However, the traditional topic models have several limitations including: (1) Bag-of-words (BoW…

cs.CL2019

Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings

Pankaj Gupta, Yatin Chaudhary, Hinrich Schütze

Though word embeddings and topics are complementary representations, several past works have only used pre-trained word embeddings in (neural) topic modeling to address data sparsi…

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