Pei-Han Kuan

2017

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Pei-Han Kuan's perspective

Ordered by how strongly the researchers Pei-Han Kuan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Stanford CoreNLP Natural Language Processing Toolkit
  2. Scikit-learn: Machine Learning in Python
  3. Steven Bird, Ewan Klein and Edward Loper: Natural Language Processing with Python, Analyzing Text with the Natural Language Toolkit
  4. UIMA: an architectural approach to unstructured information processing in the corporate research environment (Natural Language Engineering)
  5. Generating Typed Dependency Parses from Phrase Structure Parses
  6. Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
  7. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
  8. GATE: an Architecture for Development of Robust HLT applications
  9. Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules (International Conference on Computational Logic)
  10. Accurate Unlexicalized Parsing

Their papers