GitHub topics: name-entity-recognition

Repositories

craj/name-match

A robust name matching library for Node.js that combines multiple string similarity algorithms for optimal name matching performance.

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soumyajit4419/Advance-NLP-Text_Mining

Natural Launguage Processing ,Text-Mining ,Natural Launguage Understanding

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ARDS (Archival Record Digitization System) is a web-based application that uses OCR to convert physical academic records into editable, searchable digital formats. It addresses challenges such as diverse layouts, varying text quality, and security, enhancing record management efficiency.

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NLP-1403/HW3

It's the third homework of Natural Language Processing course in Spring 2024 at Sharif University of Technology. It's about sentiment analysis in the level of texts. And also in the level of words, we do NER (Name Entity Recognition). In each part we designed a base model and a tranformer model. Also we collected a dataset for NER task.

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hainn2803/The-Mr.-or-Ms.-Dilemma-Can-You-Guess-Them-All

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we-bears/NLP-Turkish-Brand-Entity-Sentiment-Recognizer

2024 Teknofest, Türkçe Doğal Dil İşleme Yarışması – Doğal Dil İşleme Senaryosu #Acıkhack2024TDDİ

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ericphann/eCFR-title12_NER

Fine-tuned NER models for banking and regulation texts, trained on eCFR Title 12 using manual and few-shot (GPT 3.5 v3) annotations.

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jWinman91/AI-NER

An AI-powered, but model-agnostic name-entity recognition toolkit.

Language: Python - Size: 508 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

hperer02/PII-data-detection

This project was developed for a Kaggle competition focused on detecting Personally Identifiable Information (PII) in student writing. The primary objective was to build a robust model capable of identifying PII with high recall. The DeBERTa v3 transformer model was chosen for this task after comparing its performance with other transformer models.

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nisrinaishmh/introduction-to-natural-language-processing-with-hugging-face-transformers

Hugging Face Transformers, a popular Python library, offers pre-trained models for various powerful toolkit for NLP tasks, opening doors to career opportunities and be part of the innovation that will change the world with shaping the future of human-machine interaction.

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BasmaElhoseny01/NLP_Labs

Natural Language Processing Course Labs

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Dipesh-Pokhrel/NLP

Natural Language Processing

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Kontosoros/text_annotation_app

Text Annotation App

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Yottaxx/NamedEntityRecognitionAsDependencyParsing

2020-natural-language-processing-project

Language: Python - Size: 3.2 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 1

ahbis99/harry_potter_network_analysis

Character names scraping for Harry Potter series, name entity recognition on Harry Potter books and network analysis of characters

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maj34/Eye-Handicapped-Service

[ X:AI Conference ] 시각장애인을 위한 안내見 서비스

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enoshsugnakar/Syntactic-Processing-Healthcare-Data

Name Entity Recognition with syntactic and Lexical Processing in identifying Disease and Treatment Entities in healthcare data

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quocdat32461997/NER

Implementation of BiLSTM-CRF in TF2.0 for Name-Entity-Recognition (NER)

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antononcube/Raku-DSL-Entity-WeatherData

Raku grammar classes for weather data entities. (Variable- and station names.)

Language: Raku - Size: 176 KB - Last synced at: 14 days ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

geoai-lab/GeoAI2019Geoparser

Evaluating State-of-the-Art Deep Learning Geoparsers

Language: Python - Size: 3.45 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 3

BirhanuGebisa/Language-Models-NER

To explore the LLMs such as GPT-3. Demonstrate the strategies to design prompts are reproducible and produce a consistent result. Set up an MLOps pipeline that helps automate the task of using different LLMs and different topics. Allow improvements in the prompt design to be integrated without breaking the system and centralized log system should be incorporated into pipeline.

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