Hui Su

Natural Language Processing · with Mou · 2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 26 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Hui Su trusts

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

1. Chin-Yew Lin (in Natural Language Processing)

Papers from Hui Su's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Language Models are Unsupervised Multitask Learners
3. ROUGE: A Package for Automatic Evaluation of Summaries
4. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
5. REALM: Retrieval-Augmented Language Model Pre-Training (International Conference on Machine Learning)
6. Dense Passage Retrieval for Open-Domain Question Answering (Conference on Empirical Methods in Natural Language Processing)
7. Latent Retrieval for Weakly Supervised Open Domain Question Answering
8. The NarrativeQA Reading Comprehension Challenge
9. HuggingFace's Transformers: State-of-the-art Natural Language Processing
10. R3: Reinforced Reader-Ranker for Open-Domain Question Answering

Their papers

• Frustratingly Hard Evidence Retrieval for QA Over Books (2020) — 12 citations
• Multimodal Dialogue State Tracking By QA Approach with Data Augmentation (2020) — 11 citations