mlsanityData to 7 Oct 2026

Keywords for Bias

arXiv 2211.00075 ↗First posted 31 Oct 2022cs.CY cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

This work proposes to analyse some keywords for bias analysis. For this, we are using several NLP approaches and compare them based on their capability of detecting keywords to analyse bias. The overall findings show that our proposed approach gives comparable results with the state-of-the-art approaches on different benchmark datasets.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 7 of its 12 references that are in the map. First posted on arXiv 31 Oct 2022.

Builds on

7 of 12 references.

References · 7

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  3. 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 719
  4. 2017Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Featurescited by 103
  5. 2018Simple Unsupervised Keyphrase Extraction using Sentence Embeddingscited by 62
  6. 2018Unsupervised Keyphrase Extraction with Multipartite Graphscited by 50
  7. 2016An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generationcited by 48

Built on by

Not cited yet.