mlsanityData to 7 Oct 2026

LightTag: Text Annotation Platform

arXiv 2109.02320 ↗First posted 6 Sep 2021cs.CL cs.AIcited by 16

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Abstract (arXiv)

Text annotation tools assume that their user's goal is to create a labeled corpus. However, users view annotation as a necessary evil on the way to deliver business value through NLP. Thus an annotation tool should optimize for the throughput of the global NLP process, not only the productivity of individual annotators. LightTag is a text annotation tool designed and built on that principle. This paper shares our design rationale, data modeling choices, and user interface decisions then illustrates how those choices serve the full NLP lifecycle.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). Builds on 2 of its 30 references that are in the map. First posted on arXiv 6 Sep 2021.

Builds on

2 of 30 references.

References · 2

  1. 2020Offensive Language Identification in Greekcited by 49
  2. 2020Sensitivity of BLANC to human-scored qualities of text summariescited by 6

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 5; 2023: 5; 2024: 1; 2025: 2; 2026: 3.

16 papers.

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