Rob Abbott

Artificial Intelligence · 2012

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Rob Abbott trusts overall

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

  1. Swapna Somasundaran
  2. Janyce Wiebe

Who trusts Rob Abbott overall

  1. Saif M. Mohammad

Papers from Rob Abbott's perspective

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

  1. Get out the vote: Determining support or opposition from Congressional floor-debate transcripts
  2. Mining newsgroups using networks arising from social behavior (The Web Conference)
  3. Recognizing Stances in Online Debates (Annual Meeting of the Association for Computational Linguistics)
  4. Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
  5. Recognizing Stances in Ideological On-Line Debates (HLT-NAACL 2010)
  6. Recognizing Verbal Irony in Spontaneous Speech
  7. Multi-Level Structured Models for Document-Level Sentiment Classification
  8. Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
  9. Multiple Aspect Ranking Using the Good Grief Algorithm
  10. Creating Subjective and Objective Sentence Classifiers from Unannotated Texts (Conference on Intelligent Text Processing and Computational Linguistics)

Their papers