neuralcoref
spaCy
| neuralcoref | spaCy | |
|---|---|---|
| 6 | 107 | |
| 2,799 | 28,789 | |
| 0.0% | 0.8% | |
| 0.0 | 9.2 | |
| about 1 year ago | 6 days ago | |
| C | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
neuralcoref
- [NLP] Replace paragraph’s pronouns with name?
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What kind of processing power would I need to re-train the neuralcoref model?
Training instructions: https://github.com/huggingface/neuralcoref/blob/master/neuralcoref/train/training.md
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I need help installing a package.
Besides that, you may also try searching for your problem on GitHub Issues, or create an issue yourself if you can't find an existing one.
- Best available pronoun coreference resolution systems?
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Web app for doing coreference resolution and outputting file in ".conll" format
I guess you have tried neuralcoref already https://github.com/huggingface/neuralcoref ?
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[D] Does anyone know of coreference resolution tools where you can specify the entity?
Hi. Let me elaborate on the title. I'm currently working on paragraph-level data and want to perform coreference resolution. I've tried working with spaCy's NeuralCoref, and although it works great it receives a string as input and returns all entities and mentions it deems appropriate. Rather than that I'm looking for something where you can specify the entity and the model will return all such instances for that particular entity.
spaCy
- How I discovered Named Entity Recognition while trying to remove gibberish from a string.
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Step by step guide to create customized chatbot by using spaCy (Python NLP library)
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):
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Best AI SEO Tools for NLP Content Optimization
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging.
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Who has the best documentation you’ve seen or like in 2023
spaCy https://spacy.io/
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A beginner’s guide to sentiment analysis using OceanBase and spaCy
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy.
- Retrieval Augmented Generation (RAG): How To Get AI Models Learn Your Data & Give You Answers
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Against LLM Maximalism
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post.
The steps described in "LLM pragmatism" are basically what I see my data science friends doing — it's hard to justify the cost (money and latency) in using LLMs directly for all tasks, and even if you want to you'll need a baseline model to compare against, so why not use LLMs for dataset creation or augmentation in order to train a classic supervised model?
[0] https://spacy.io/
[1] https://prodi.gy/
- Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
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How to predict this sequence?
spaCy
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What do you all think about (setq sentence-end-double-space nil)?
I chose spacy. Although it's not state of the art, it's very well established and stable.
What are some alternatives?
libpostal - A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
spacy-experimental - 🧪 Cutting-edge experimental spaCy components and features
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
NLTK - NLTK Source
coreferee - Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further languages
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
emlearn-micropython - Efficient Machine Learning engine for MicroPython
polyglot - Multilingual text (NLP) processing toolkit
CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
textacy - NLP, before and after spaCy