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Swabha Swayamdipta

Allen Institute for AI

31 papers hereh-index 188k citations46 works total

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

author position
  • first author6
  • middle author16
  • last author9

Across the 31 of 31 papers where every author was matched, so the position is known.

fields
  • cs.CL23
  • cs.CY2
  • cs.LG2
  • cs.AI1
  • cs.CR1
  • cs.PL1
affiliations
  • Allen Institute for AI
Homepage
same name
  • Swabha Swayamdipta — 32 papers, h 16

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedDyNet: The Dynamic Neural Network Toolkit

343 citations · 748 across the 22 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018★ 7 cited

Syntactic Scaffolds for Semantic Structures

Swabha Swayamdipta, Sam Thomson, Kenton Lee +3

We introduce the syntactic scaffold, an approach to incorporating syntactic information into semantic tasks. Syntactic scaffolds avoid expensive syntactic processing at runtime, on…

cs.CL2018

Polyglot Semantic Role Labeling

Phoebe Mulcaire, Swabha Swayamdipta, Noah Smith

Previous approaches to multilingual semantic dependency parsing treat languages independently, without exploiting the similarities between semantic structures across languages. We…

cs.CL2018★ 6 cited

Learning Joint Semantic Parsers from Disjoint Data

Hao Peng, Sam Thomson, Swabha Swayamdipta +1

We present a new approach to learning semantic parsers from multiple datasets, even when the target semantic formalisms are drastically different, and the underlying corpora do not…

cs.CL2018

Annotation Artifacts in Natural Language Inference Data

Suchin Gururangan, Swabha Swayamdipta, Omer Levy +3

Large-scale datasets for natural language inference are created by presenting crowd workers with a sentence (premise), and asking them to generate three new sentences (hypotheses)…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.