Peter A. Rankel

Evaluation & Benchmarks · 2012–2013

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Peter A. Rankel trusts overall

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

  1. Chin-Yew Lin
  2. Ani Nenkova
  3. Alexander S. Yeh
  4. Annie Louis

Who trusts Peter A. Rankel overall

  1. Maxime Peyrard
  2. Sebastian Gehrmann
  3. Mingqi Gao
  4. Christopher Tauchmann
  5. Elizabeth Clark
  6. Thibault Sellam
  7. Yixin Liu
  8. Xiaojun Wan
  9. Margot Mieskes
  10. Alexander R. Fabbri

Papers from Peter A. Rankel's perspective

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

  1. ROUGE: A Package for Automatic Evaluation of Summaries
  2. Evaluating Content Selection in Summarization: The Pyramid Method
  3. The Automatic Creation of Literature Abstracts
  4. More accurate tests for the statistical significance of result differences
  5. Automatically Assessing Machine Summary Content Without a Gold Standard
  6. Better Metrics to Automatically Predict the Quality of a Text Summary
  7. Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics
  8. Bleu: a Method for Automatic Evaluation of Machine Translation
  9. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  10. Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling

Their papers