Philip Beyer
Evaluation & Benchmarks · 2016
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Evaluation & Benchmarks — 7 citations into it; #1,948 of 3,147 by trust here, #2,853 by citations
- Artificial Intelligence — 6 citations into it
- Natural Language Processing — 6 citations into it; #3,675 of 5,688 by trust here, #4,879 by citations
Whom Philip Beyer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Philip Beyer overall
Papers from Philip Beyer's perspective
Ordered by how strongly the researchers Philip Beyer trusts endorse each paper. Same corpus, a different order for every researcher.
- SemEval-2014 Task 10: Multilingual Semantic Textual Similarity
- SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity
- *SEM 2013 shared task: Semantic Textual Similarity
- Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
- SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation
- Discovery of inference rules for question-answering
- AUTOMATED ESSAY SCORING WITH E‐RATER® V.2.0
- Overview of the 1st international competition on plagiarism detection
- IR evaluation methods for retrieving highly relevant documents
- IR evaluation methods for retrieving highly relevant documents
Their papers
- Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity (2016) — 75 citations