Paul Hoffmann

Artificial Intelligence · 2005–2009

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 99 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Hoffmann trusts overall

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

  1. Janyce Wiebe
  2. Michael Collins
  3. Ellen Riloff
  4. Robert E. Schapire
  5. Andrea Esuli
  6. Peter D. Turney
  7. Theresa Wilson
  8. Yoram Singer
  9. Soo-Min Kim
  10. Jaap Kamps

Who trusts Paul Hoffmann overall

  1. Saif M. Mohammad
  2. Xiaojun Wan
  3. Duyu Tang
  4. Svetlana Kiritchenko
  5. Yejin Choi
  6. Soujanya Poria
  7. Swapna Somasundaran
  8. Bing Liu
  9. Altaf Rahman
  10. Erik Cambria

Papers from Paul Hoffmann's perspective

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

  1. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  2. Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences (Conference on Empirical Methods in Natural Language Processing)
  3. Three Generative, Lexicalised Models for Statistical Parsing
  4. Mining product reputations on the Web (Knowledge Discovery and Data Mining)
  5. Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
  6. Mining the peanut gallery: opinion extraction and semantic classification of product reviews (The Web Conference)
  7. Measuring praise and criticism: Inference of semantic orientation from association
  8. Annotating Expressions of Opinions and Emotions in Language
  9. Sentiment analysis: capturing favorability using natural language processing
  10. ImageNet classification with deep convolutional neural networks

Their papers