Long Qin

Natural Language Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 15 citations into it
• Artificial Intelligence — 11 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Long Qin trusts overall

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

1. Hwee Tou Ng
2. Steven Bird
3. Daniel Dahlmeier
4. Christopher Bryant

Papers from Long Qin's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Neural Machine Translation of Rare Words with Subword Units
3. Convolutional Sequence to Sequence Learning
4. A New Dataset and Method for Automatically Grading ESOL Texts
5. The CoNLL-2014 Shared Task on Grammatical Error Correction
6. Building a Large Annotated Corpus of Learner English: The NUS Corpus of Learner English
7. Better Evaluation for Grammatical Error Correction
8. Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction (Annual Meeting of the Association for Computational Linguistics)
9. One billion word benchmark for measuring progress in statistical language modeling
10. A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction

Their papers

• Erroneous data generation for Grammatical Error Correction (2019) — 24 citations