nlp:key_papers_in_nlp
Table of Contents
Key Papers in NLP
Work in progress. Aims to be a compact list of the key papers in NLP.
Overviews
- Machine Translation
- Dialog
- Question Answering
- Information Extraction
- Deep Learning
- Ruder's 2016 paper
Historical Background
- Machine Translation
- Parsing
- Early work on Penn Treebank
- ParsEval
Papers
Each paper is listed twice: sorted by broad areas or by topic.
By Broad Area
- Methods
- Transformer: Vaswani et al 2017 - Attention Is All You Need
- Decoding
- BERT
- GPT-2, GPT-3
- Datasets
- QA: Squad v1, v2
- NLI: SNLI
- Dialog:
- Information Extraction
- General Benchmarks
- GLUE, SuperGLUE
- Evaluation and Ethics
- Annotation artifacts
- 2016 ethics paper
- Deep Learning
- Dropout
- Batch and Layer Norm
- Adam
By Topic
- Machine Translation
- Transformer: Vaswani et al 2017 - Attention Is All You Need
- Dialog
- Question Answering (QA)
- Squad v1, v2
- Natural Language Inference (NLI)
- SNLI
- Vision and Language
- Information Extraction (IE)
- Named Entity Recognition (NER)
- Methods
- Decoding
- PreTraining, Language Models, and In-Context Learning
- BERT
- GPT-2, GPT-3
- Syntactic Parsing
- Dependency parsing
- Semantic Parsing
- Evaluation and Ethics
- Annotation artifacts
- 2016 ethics paper
- Deep Learning
- Dropout
- Batch and Layer Norm
- Adam
Related Pages
nlp/key_papers_in_nlp.txt · Last modified: 2023/11/29 20:58 by jmflanig