Debasmita Bhattacharya

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #15,741 of 35,345 by trust here, #8,893 by citations
• Natural Language Processing — 23 citations into it; #3,042 of 5,688 by trust here, #1,975 by citations
• Safety, Robustness & Interpretability — 21 citations into it; #1,141 of 2,251 by trust here, #768 by citations
• AI Ethics, Fairness & Society — 5 citations into it

Whom Debasmita Bhattacharya trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Zeerak Talat
2. Su Lin Blodgett
3. Gary King
4. Ji Ho Park
5. Brendan T. O'Connor
6. Leandro Araújo Silva
7. Nemanja Djuric
8. Dirk Hovy

Who trusts Debasmita Bhattacharya overall

1. Bertie Vidgen
2. Svetlana Kiritchenko
3. Shrimai Prabhumoye
4. Maarten Sap
5. Sarah Wiegreffe
6. Isar Nejadgholi

Papers from Debasmita Bhattacharya's perspective

Ordered by how strongly the researchers Debasmita Bhattacharya trusts endorse each paper. Same corpus, a different order for every researcher.

1. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
2. Measuring and Mitigating Unintended Bias in Text Classification
3. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
4. Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
5. Locate the Hate: Detecting Tweets against Blacks
6. Gender and Dialect Bias in YouTube’s Automatic Captions
7. Hate Speech Detection with Comment Embeddings (The Web Conference)
8. Semantics derived automatically from language corpora contain human-like biases
9. Word embeddings quantify 100 years of gender and ethnic stereotypes
10. Reducing Gender Bias in Abusive Language Detection

Their papers

• Racial Bias in Hate Speech and Abusive Language Detection Datasets (2019) — 530 citations