flair-embeddings
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In the wild extraction of entities that are found using Flair and displayed using a very elegant front-end.
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Jan 7, 2023 - HTML
Code and data for paper 'Causality extraction based on self-attentive BiLSTM-CRF with transferred embeddings'
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May 30, 2022 - Jupyter Notebook
📜 Dehyphenation of broken text (mainly German), i.e., extracted from a PDF
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Mar 8, 2022 - Python
Text2Emoji helps you add necessary emojis to your text by analysing the emotion behind the writing.
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May 1, 2023 - Python
Container-first, JSON-configurable, NLP REST service based on Flair
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Oct 23, 2019 - Python
Large Scale benchmarking of state of the art text vectorizers
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Dec 16, 2024 - Python
ANTILLES : An Open French Linguistically Enriched Part-of-Speech Corpus
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Jul 14, 2022 - Python
Use of State of the Art FLAIR library for the NLP datasets
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Apr 9, 2023 - Jupyter Notebook
FewClick-TrainAndHost is a platform to auto train a text classification model and later convert it to a flask based web-app in just few clicks.
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Jan 24, 2020 - Python
NLP related concepts, challenges and datasets
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Jul 16, 2019 - Jupyter Notebook
📑Semantic content similarity search experiment on heartfulness.org mission literature dataset. Developed using pytorch and azure machine learning service.
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Aug 18, 2019 - Jupyter Notebook
A deep learning approach for detecting sarcasm in Headlines
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May 20, 2020 - Python
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Jan 17, 2023 - Jupyter Notebook
pretrained transformer and embeddings language models
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Aug 14, 2022 - Python
An overview of the possibilities of using TARS models for low language resources
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Apr 28, 2023 - Jupyter Notebook
My code and research while exploring NLP fake news detection under an internship.
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Jan 13, 2021 - Jupyter Notebook
A StackExchange flair react component
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Jan 6, 2023 - JavaScript
This repository contains my scripts, results and visualization for my bachelor thesis "Medical concept PROBLEM: Polarity, Modality and Temporal Relations" - ON GOING, doing some code reorganize
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Nov 27, 2023 - Python
A multi-lingual named entity classifier to perform named entity recognition (NER) on two datasets, International: CoNLL 2003, Chinese: Weibo. We used the current state-of-the-art model to test on CoNLL++ dataset, achieved a F1-score of 94.3% with pooled-embeddings.
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Dec 31, 2023 - Jupyter Notebook
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