Sérgio Nunes

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #7,832 of 35,345 by trust here, #12,387 by citations
• Natural Language Processing — 16 citations into it; #1,652 of 5,688 by trust here, #2,660 by citations
• Information Systems — 12 citations into it; #1,154 of 8,771 by trust here, #1,964 by citations
• Safety, Robustness & Interpretability — 10 citations into it; #540 of 2,251 by trust here, #1,089 by citations
• Communication — 9 citations into it

Whom Sérgio Nunes trusts overall

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

1. Klaus Krippendorff
2. P. Burnap
3. Swati Agarwal
4. Karthik Dinakar
5. Zeerak Talat
6. Pinkesh Badjatiya
7. Njagi Dennis Gitari
8. Chikashi Nobata
9. Fabio Del Vigna
10. Matthew Leighton Williams

Who trusts Sérgio Nunes overall

1. Bertie Vidgen
2. Svetlana Kiritchenko
3. Tommaso Caselli
4. Valerio Basile
5. Michael Wiegand
6. Marzieh Mozafari
7. Helena Bonaldi
8. Fabio Poletto
9. Leon Derczynski
10. Binny Mathew

Papers from Sérgio Nunes's perspective

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

1. Locate the Hate: Detecting Tweets against Blacks
2. Detecting Hate Speech on the World Wide Web
3. Hate Speech Detection with Comment Embeddings (The Web Conference)
4. Abusive Language Detection in Online User Content
5. Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter
6. Cyber Hate Speech on Twitter: An Application of Machine Classification and Statistical Modeling for Policy and Decision Making
7. Deep Learning for Hate Speech Detection in Tweets
8. A Lexicon-based Approach for Hate Speech Detection
9. Modeling the Detection of Textual Cyberbullying (The Social Mobile Web)
10. Improved cyberbullying detection using gender information

Their papers

• A Survey on Automatic Detection of Hate Speech in Text (2018) — 1,295 citations