mlsanityData to 7 Oct 2026

Augmenting Scientific Creativity with Retrieval across Knowledge Domains

arXiv 2206.01328 ↗First posted 2 Jun 2022cs.IR cs.CLcited by 7

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Abstract (arXiv)

Exposure to ideas in domains outside a scientist's own may benefit her in reformulating existing research problems in novel ways and discovering new application domains for existing solution ideas. While improved performance in scholarly search engines can help scientists efficiently identify relevant advances in domains they may already be familiar with, it may fall short of helping them explore diverse ideas textitoutside such domains. In this paper we explore the design of systems aimed at augmenting the end-user ability in cross-domain exploration with flexible query specification. To this end, we develop an exploratory search system in which end-users can select a portion of text core to their interest from a paper abstract and retrieve papers that have a high similarity to the user-selected core aspect but differ in terms of domains. Furthermore, end-users can `zoom in' to specific domain clusters to retrieve more papers from them and understand nuanced differences within the clusters. Our case studies with scientists uncover opportunities and design implications for systems aimed at facilitating cross-domain exploration and inspiration.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 18 of its 75 references that are in the map. First posted on arXiv 2 Jun 2022.

Builds on

18 of 75 references.

References · 18

  1. 2017Billion-scale similarity search with GPUscited by 2,477
  2. 2019SciBERT: A Pretrained Language Model for Scientific Textcited by 1,404
  3. 2020SPECTER: Document-level Representation Learning using Citation-informed Transformerscited by 426
  4. 2020Unsupervised Domain Clusters in Pretrained Language Modelscited by 160
  5. 2022Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddingscited by 75
  6. 2020Citation Recommendation: Approaches and Datasetscited by 36
  7. 2021Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similaritycited by 35
  8. 2017Accelerating Innovation Through Analogy Miningcited by 32
  9. 2022Augmenting Scientific Creativity with an Analogical Search Enginecited by 22
  10. 2020Aspect-based Document Similarity for Research Paperscited by 21
  11. 2021CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by Examplecited by 19
  12. 2020Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizationscited by 16
6 more
  1. 2020SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific searchcited by 16
  2. 2021Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discoverycited by 13
  3. 2018Cross Domain Regularization for Neural Ranking Models Using Adversarial Learningcited by 10
  4. 2018Learning Disentangled Representations of Texts with Application to Biomedical Abstractscited by 9
  5. 2022From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networkscited by 9
  6. 2019Domain Adaptation for Enterprise Email Searchcited by 7

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 2; 2025: 0; 2026: 3.

7 papers.