a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
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Updated
Dec 27, 2022 - Python
a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.
Anonymization of legal cases (Fr) based on Flair embeddings
Custom component for Home Assistant Core for Flair pucks, vents, rooms, structures, and minisplits
Language Model Fine-tuning for Moby Dick
📜 Dehyphenation of broken text (mainly German), i.e., extracted from a PDF
Artemis (u/AssistantBOT) is a statistics compiler and flair enforcer bot for Reddit communities that have invited it to moderate.
Container-first, JSON-configurable, NLP REST service based on Flair
This project contains the code to use custom fasttext embeddings with flair framework.
Sentiment Analysis of tweets about car manufacturers. Complete Docker Pipeline with ETL job that is managed through Airflow.
Large Scale benchmarking of state of the art text vectorizers
Sequence labeling active learning framework based on Flair
ANTILLES : An Open French Linguistically Enriched Part-of-Speech Corpus
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