spacy-experimental
neuralcoref
spacy-experimental | neuralcoref | |
---|---|---|
5 | 6 | |
94 | 2,799 | |
- | 0.0% | |
4.2 | 0.0 | |
18 days ago | about 1 year ago | |
Python | C | |
MIT License | MIT License |
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spacy-experimental
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Newbie question with Spacy Coreference Resolution
Trying to work with the newly released coreference resolution pipeline
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spaCy just got an experimental feature to detect co-references
I think the details are mentioned here: https://github.com/explosion/spacy-experimental/releases/tag/v0.6.0
- SpanFinder is a new experimental spaCy component that identifies span boundaries
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Cython Is 20
I can't speak for the parent commenter, but there is ofte. code 'around' the machine learning code that benefits from high-performance implementations. To give two examples:
1. We recently implemented an edit tree lemmatizer for spaCy. The machine learning model predicts labels that map to edit trees. However, in order to lemmatize tokens, the trees need to be applied. I implemented all the tree wrangling in Cython to speed up processing and save memory (trees can be encoded as compact C unions):
https://github.com/explosion/spaCy/blob/master/spacy/pipelin...
2. I am working on a biaffine parser for spaCy. Most implementations of biaffine parsing use a Python implementation of MST decoding, which is unfortunately quite slow. Some people have reported it to dominate parsing time (rather than a rather expensive transformer + biaffine layer). I have implemented MST decoding in Cython and it barely shows up in profiles:
https://github.com/explosion/spacy-experimental/blob/master/...
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Utilizando Neural edit-tree lemmatization para o português
Nós iremos utilizar o template do edit_tree_lemmatizer contido da pasta de projetos do repositório https://github.com/explosion/spacy-experimental e modificaremos para treinar um modelo em português em vez de alemão.
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.
What are some alternatives?
sentence-splitter - Text to sentence splitter using heuristic algorithm by Philipp Koehn and Josh Schroeder.
libpostal - A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
word_forms - Accurately generate all possible forms of an English word e.g "election" --> "elect", "electoral", "electorate" etc.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
nanobind - nanobind: tiny and efficient C++/Python bindings
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
warp - A Python framework for high performance GPU simulation and graphics
coreferee - Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further languages
sentimental-onix - sentiment analysis for spacy pipeline in python
emlearn-micropython - Efficient Machine Learning engine for MicroPython
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library