augmentation of text data in NLP is pretty rare. Trivial operations for images such as rotating an image a few degrees or converting it into grayscale doesn’t change its semantics. This presence of semantically invariant transformation made augmentation an essential toolkit in Computer Vision researc...
📙 A Visual Survey of Data Augmentation in NLP [Blog, 2020] 📙 Weak Supervision: A New Programming Paradigm for Machine Learning [Blog, March 2019] Named Entity Recognition (NER) ⭐ Datasets for Entity Recognition [GitHub, 1497 stars] ⭐ Datasets to train supervised classifiers for Named...
A Survey of Surveys (NLP & ML) In this document, we survey hundreds of survey papers on Natural Language Processing (NLP) and Machine Learning (ML). We categorize these papers into popular topics and do simple counting for some interesting problems. In addition, we show the list of the pa...
[Yang等人,2023a] Antoine Yang, Arsha Nagrani, Paul Hongsuck Seo, Antoine Miech, Jordi Pont-Tuset, Ivan Laptev, Josef Sivic, and Cordelia Schmid. Vid2seq: Large-scale pretraining of a visual language model for dense video captioning. In Proceedings of the IEEE/CVF Conference on Computer Vi...
Title:Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing 链接:https://arxiv.org/abs/2107.13586 广告 动手学深度学习 (一本书带你了解chatgpt,跟上AI发展 京东 ¥42.50 去购买 一、自然语言处理中的两次重大变革 ...
(e.g., text, entities, data). While datasets may also comprise images, or graphs, search techniques for these modalities contain both alphanumeric search techniques for metadata and specialized techniques based on the structure of the data. Thus, to be more general in this survey, we discuss...
“learn” from that data to continuously improve their performance. ML uses a variety of techniques to facilitate artificial intelligence tasks such as natural language processing (NLP), image recognition, and predictive analytics. Continuous learning and adaptation promote innovation and transformation ...
(e.g., vocalisations, facial expressions, body movement), and physiological activity2. Self reports, or patient reported measures, have been considered the gold standard in pain assessment in clinical practice. Self-reporting tools, such as the numerical rating scale (NRS) or the visual analogue...
Natural Language Processing Lab., School of Computer Science and Engineering, Northeastern University NiuTrans Research In this document, we survey hundreds of survey papers on Natural Language Processing (NLP) and Machine Learning (ML). We categorize these papers into popular topics and do simple co...
In this document, we survey hundreds of survey papers on Natural Language Processing (NLP) and Machine Learning (ML). We categorize these papers into popular topics and do simple counting for some interesting problems. In addition, we show the list of the papers with urls (461 papers). ...