Diyang Xue

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 Diyang Xue's perspective

Ordered by how strongly the researchers Diyang Xue 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. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
6. Generating Typed Dependency Parses from Phrase Structure Parses
7. Attention is All you Need (Neural Information Processing Systems)
8. Accurate Unlexicalized Parsing
9. Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
10. GATE: an Architecture for Development of Robust HLT applications

Their papers

• Predictive Modeling for Classification of Positive Valence System Symptom Severity from Initial Psychiatric Evaluation Records (2017) — 14 citations