Jordyn Seybolt

Natural Language Processing · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 32 citations into it
• Information Systems — 11 citations into it
• Sociology and Political Science — 8 citations into it

Whom Jordyn Seybolt trusts

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

1. Chin-Yew Lin (in Natural Language Processing)
2. Kim Bartel Sheehan (in Computer Science Applications)

Papers from Jordyn Seybolt's perspective

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

1. Language Models are Unsupervised Multitask Learners
2. GloVe: Global Vectors for Word Representation
3. Bleu: a Method for Automatic Evaluation of Machine Translation
4. Measuring and Mitigating Unintended Bias in Text Classification
5. Automated Hate Speech Detection and the Problem of Offensive Language
6. Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter
7. ROUGE: A Package for Automatic Evaluation of Summaries
8. A Survey on Hate Speech Detection using Natural Language Processing
9. The Risk of Racial Bias in Hate Speech Detection
10. Language (Technology) is Power: A Critical Survey of “Bias” in NLP

Their papers

• Latent Hatred: A Benchmark for Understanding Implicit Hate Speech (2021) — 377 citations