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GausSetExpander: A Simple Approach for Entity Set Expansion

arXiv 2202.13649 ↗First posted 28 Feb 2022cs.CLcited by 0

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Abstract (arXiv)

Entity Set Expansion is an important NLP task that aims at expanding a small set of entities into a larger one with items from a large pool of candidates. In this paper, we propose GausSetExpander, an unsupervised approach based on optimal transport techniques. We propose to re-frame the problem as choosing the entity that best completes the seed set. For this, we interpret a set as an elliptical distribution with a centroid which represents the mean and a spread that is represented by the scale parameter. The best entity is the one that increases the spread of the set the least. We demonstrate the validity of our approach by comparing to state-of-the art approaches.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 16 of its 29 references that are in the map. First posted on arXiv 28 Feb 2022.

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References · 16

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2014ImageNet Large Scale Visual Recognition Challengecited by 8,498
  3. 2017Mask R-CNNcited by 7,277
  4. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
  5. 2016Speed/accuracy trade-offs for modern convolutional object detectorscited by 198
  6. 2014Word Representations via Gaussian Embeddingcited by 96
  7. 2019Deep Set Prediction Networkscited by 71
  8. 2019FSPool: Learning Set Representations with Featurewise Sort Poolingcited by 53
  9. 2019HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansioncited by 31
  10. 2019SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemblecited by 25
  11. 2018Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributionscited by 20
  12. 2018Learning Representations of Sets through Optimized Permutationscited by 15
4 more
  1. 2019Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddingscited by 15
  2. 2020Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansioncited by 13
  3. 2018Term Set Expansion based NLP Architect by Intel AI Labcited by 11
  4. 2020A Two-Stage Masked LM Method for Term Set Expansioncited by 8

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