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Kevin Seppi

Brigham young university

8 papers hereh-index 272.3k citations124 works total

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

author position
  • middle author2
  • last author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.HC1
  • cs.IR1
  • cs.LG1
affiliations
  • Brigham young university
Homepage
same name
  • Kevin Seppi — 1 paper, h 1

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
20172022
most citedPreprocessor Selection for Machine Learning Pipelines

8 citations · 13 across the 7 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CL2019★ 4 cited

Humor Detection: A Transformer Gets the Last Laugh

Orion Weller, Kevin Seppi

Much previous work has been done in attempting to identify humor in text. In this paper we extend that capability by proposing a new task: assessing whether or not a joke is humoro…

cs.CL2019★ 1 cited

Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models

Varun Kumar, Alison Smith-Renner, Leah Findlater +2

To address the lack of comparative evaluation of Human-in-the-Loop Topic Modeling (HLTM) systems, we implement and evaluate three contrasting HLTM modeling approaches using simulat…

cs.IR2019

Automatic Evaluation of Local Topic Quality

Jeffrey Lund, Piper Armstrong, Wilson Fearn +4

Topic models are typically evaluated with respect to the global topic distributions that they generate, using metrics such as coherence, but without regard to local (token-level) t…

cs.CL2019

Cross-referencing using Fine-grained Topic Modeling

Jeffrey Lund, Piper Armstrong, Wilson Fearn +3

Cross-referencing, which links passages of text to other related passages, can be a valuable study aid for facilitating comprehension of a text. However, cross-referencing requires…

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