What are different approaches to word sense disambiguation? What is the problem of paraphrase identification?

Mar 25, 2021 ... NLP applies both to written text and speech, and can be applied to all human languages. Other examples of tools powered by NLP include web ... Sep 7, 2022 ... I believed at that time that NLP would give me some new skills to help me manage my business and thereby help my overwhelmed and highly stressed state. Nov 9, 2023 ... A good grasp of text embeddings will greatly improve your capacity to reason intuitively about how NLP (and a lot of other ML models) should ... Apr 25, 2025 ... Tokenization is a foundational step in Natural Language Processing (NLP) because it transforms unstructured text into a format that machines can ... You'll also see how to do some basic text analysis and create visualizations. If you're familiar with the basics of using Python and would like to get your feet ... Aug 29, 2018 ... But what makes the swish pattern work? And why does it fail at times? Better, what does an NLP practitioner do when the mighty swish turns out ... Sep 12, 2024 ... As mentioned, NLP involves developing algorithms and models to understand and generate text. Specific algorithms and models are used depending ... Sep 15, 2022 ... You can always check the type of any python objects: nlp = spacy.load('en_encore_web_sm') # or medium, or large print(type(nlp)) ... Nov 4, 2021 ... I can see that it might be similar, but NLP does involve those things. If we want to get specific then we can say something more substantive ... Apr 20, 2019 ... I need to ensure that the gradient accumulates from each time step and is stored in the latent vector so that I can then also backprop through ...