named-entity-recognition

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

Github repo with tutorials to fine tune transformers for diff NLP tasks

Local-first privacy guard: anonymize your documents before sharing with LLMs.

PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

CKIP Transformers

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

tensorflow를 사용하여 텍스트 전처리부터, Topic Models, BERT, GPT, LLM과 같은 최신 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

Guideline following Large Language Model for Information Extraction

Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

中文文本分类、序列标注工具包（pytorch），支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词、抽取式文本摘要等序列标注任务。 Chinese text classification and sequence labeling toolkit, supports multi class and multi label classification, text similsrity, text summary and NER.

Cybertron: the home planet of the Transformers in Go

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.

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

Strwythura: construct an entity-resolved knowledge graph from structured data sources and unstructured content sources, implementing an ontology pipeline, plus context engineering for optimizing AI application outcomes within a specific domain. This produces a Streamlit app, with MLOps instrumentation.

Winner system (DAMO-NLP) of SemEval 2022 MultiCoNER shared task over 10 out of 13 tracks.

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

A PyTorch-based toolkit for natural language processing