Fei Liu

Natural Language Processing · with Chang · 2020

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

Subfields

• Natural Language Processing — 20 citations into it
• Artificial Intelligence — 18 citations into it
• Evaluation & Benchmarks — 8 citations into it

Whom Fei Liu trusts

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

1. Chin-Yew Lin (in Natural Language Processing)
2. Christopher D. Manning (in Artificial Intelligence)

Papers from Fei Liu's perspective

Ordered by how strongly the researchers Fei Liu 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. The Stanford CoreNLP Natural Language Processing Toolkit
4. ROUGE: A Package for Automatic Evaluation of Summaries
5. Get To The Point: Summarization with Pointer-Generator Networks
6. Generating Wikipedia by Summarizing Long Sequences
7. Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
8. Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
9. AllenNLP: A Deep Semantic Natural Language Processing Platform
10. Bottom-Up Abstractive Summarization

Their papers

• Understanding Points of Correspondence between Sentences for Abstractive Summarization (2020) — 29 citations