Melanie Siegel

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Melanie Siegel trusts overall

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

  1. Zeerak Talat
  2. Anders Björkelund
  3. Olutobi Owoputi
  4. Dirk Hovy

Who trusts Melanie Siegel overall

  1. Valerio Basile
  2. Pushkar Mishra
  3. Tommaso Caselli
  4. Michael Wiegand
  5. Branden Chan
  6. Tanmay Garg
  7. Marcos Zampieri
  8. Thomas Mandl
  9. Jelena Mitrović

Papers from Melanie Siegel's perspective

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

  1. Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter
  2. A Survey on Hate Speech Detection using Natural Language Processing
  3. Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis
  4. Abusive Language Detection in Online User Content
  5. Understanding Abuse: A Typology of Abusive Language Detection Subtasks
  6. Deep Learning for Hate Speech Detection in Tweets
  7. Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters
  8. Steven Bird, Ewan Klein and Edward Loper: Natural Language Processing with Python, Analyzing Text with the Natural Language Toolkit
  9. A High-Performance Syntactic and Semantic Dependency Parser
  10. Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms (European Conference on Information Retrieval)

Their papers