Hacker News
- The Dataset Used by Microsoft to Enhance Questions and Answers https://rajpurkar.github.io/SQuAD-explorer/ 2 comments
- 9 of top 10 algos for Stanford Question Answering Dataset are from Chinese teams https://rajpurkar.github.io/SQuAD-explorer/ 2 comments
Linking pages
- Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer – Google AI Blog https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html 66 comments
- ALBERT: A Lite BERT for Self-Supervised Learning of Language Representations – Google AI Blog https://ai.googleblog.com/2019/12/albert-lite-bert-for-self-supervised.html 45 comments
- NLP's ImageNet moment has arrived https://thegradient.pub/nlp-imagenet/ 42 comments
- Intel AI Lab open-sources library for deep learning-driven NLP | VentureBeat https://venturebeat.com/2018/05/24/intel-ai-lab-open-sources-library-for-deep-learning-driven-nlp/ 35 comments
- GitHub - awesomedata/awesome-public-datasets: A topic-centric list of HQ open datasets. https://github.com/caesar0301/awesome-public-datasets 34 comments
- GitHub - model-zoo/shift-ctrl-f: 🔎 Search the information available on a webpage using natural language instead of an exact string match. https://github.com/model-zoo/shift-ctrl-f 27 comments
- GitHub - astorfi/Deep-Learning-Roadmap: Organized Resources for Deep Learning Researchers and Developers https://github.com/astorfi/Deep-Learning-World 22 comments
- GitHub - google-research/bert: TensorFlow code and pre-trained models for BERT https://github.com/google-research/bert 21 comments
- Uncovering Unknown Unknowns in Machine Learning – Google AI Blog https://ai.googleblog.com/2021/02/uncovering-unknown-unknowns-in-machine.html 20 comments
- More Efficient NLP Model Pre-training with ELECTRA – Google AI Blog https://ai.googleblog.com/2020/03/more-efficient-nlp-model-pre-training.html 12 comments
- How Do You Teach A Car That A Snowman Won’t Walk Across The Road? - Liwaiwai https://liwaiwai.com/2019/06/03/how-do-you-teach-a-car-that-a-snowman-wont-walk-across-the-road/ 8 comments
- GitHub - lettergram/sentence-classification: Sentence Classifications with Neural Networks https://github.com/lettergram/sentence-classification 7 comments
- GitHub - microsoft/nlp-recipes: Natural Language Processing Best Practices & Examples https://github.com/microsoft/nlp-recipes 5 comments
- Finding Errors in Perception Data With Learned Observation Assertions · Stanford DAWN https://dawn.cs.stanford.edu/2022/01/24/loa/ 4 comments
- GitHub - indrajithi/genquest: Automatic question generation by using NLP https://github.com/indrajithi/genquest 3 comments
- GitHub - astorfi/Deep-Learning-NLP: Organized Resources for Deep Learning in Natural Language Processing https://github.com/astorfi/Deep-Learning-NLP 2 comments
- GitHub - awesomedata/awesome-public-datasets: A topic-centric list of HQ open datasets. https://github.com/awesomedata/awesome-public-datasets 2 comments
- tfjs-models/qna at master · tensorflow/tfjs-models · GitHub https://github.com/tensorflow/tfjs-models/tree/master/qna 2 comments
- GitHub - guillaume-chevalier/Awesome-Deep-Learning-Resources: Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier https://github.com/guillaume-chevalier/awesome-deep-learning-resources 1 comment
- Google’s AI passed the Turing test — and showed how it's broken - The Washington Post https://www.washingtonpost.com/technology/2022/06/17/google-ai-lamda-turing-test/ 1 comment
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