Jin Song Dong

Natural Language Processing · 2022

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

Subfields

• Natural Language Processing — 12 citations into it

Whom Jin Song Dong trusts

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

1. George A. Miller (in Natural Language Processing)

Papers from Jin Song Dong's perspective

Ordered by how strongly the researchers Jin Song Dong 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. GloVe: Global Vectors for Word Representation
3. Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales
4. WordNet: A Lexical Database for English
5. A large annotated corpus for learning natural language inference
6. Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
7. Learning Word Vectors for Sentiment Analysis
8. Prefix-Tuning: Optimizing Continuous Prompts for Generation
9. Making Pre-trained Language Models Better Few-shot Learners
10. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Their papers

• A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement (2022) — 18 citations