mlsanityData to 7 Oct 2026

VADIS -- a VAriable Detection, Interlinking and Summarization system

arXiv 2312.13423 ↗First posted 20 Dec 2023cs.DL cs.CL cs.IRcited by 1

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Abstract (arXiv)

The VADIS system addresses the demand of providing enhanced information access in the domain of the social sciences. This is achieved by allowing users to search and use survey variables in context of their underlying research data and scholarly publications which have been interlinked with each other.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 8 of its 12 references that are in the map. First posted on arXiv 20 Dec 2023.

Builds on

8 of 12 references.

References · 8

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  2. 2018A Discourse-Aware Attention Model for Abstractive Summarization of Long Documentscited by 477
  3. 2020TLDR: Extreme Summarization of Scientific Documentscited by 136
  4. 2019A Summarization System for Scientific Documentscited by 17
  5. 2017Scientific document summarization via citation contextualization and scientific discoursecited by 12
  6. 2022X-SCITLDR: Cross-Lingual Extreme Summarization of Scholarly Documentscited by 12
  7. 2022Overview of the SV-Ident 2022 Shared Task on Survey Variable Identification in Social Science Publicationscited by 3
  8. 2022Towards Automated Survey Variable Search and Summarization in Social Science Publicationscited by 2

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Cited by year

Citing papers per year: 2024: 1.

1 paper.

  1. 2024Enriching Social Science Research via Survey Item Linkingcited by 0