Fall-2023 Natural language Processing

Build LLM-enabled FastAPI applications without build configuration.

Spacy Named Entiy Recognition.

The project aims to help job seekers understand the essential qualifications required for specific jobs and assess how well their skills match those positions. Additionally, it assists recruiters in improving their resume selection processes by analyzing and comprehending job advertisements.

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

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

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 (for example SVM or LSTM) and a tranformer model. Also we collected a dataset

A collection of resources that showcase the applications of NER in Healthcare domain.

This software anonymises data inside text files and in sheet files. It removes various sorts of personally identifiable information. Each removed part is replaced with a suitable generic text, depending on the type of removed data. Currently English and Russian languages are supported. Russian works both with Cyrillic and Latin characters.

This Streamlit-based web application demonstrates the use of various NLP pipelines using the Hugging Face Transformers library.

Relationships Extraction from NARrative Documents

Named Entity Recognition (NER) Annotation tool for SpaCy. Generates Traning Data as a JSON which can be readily used.

Medical Concept Annotation Tool

A tool to streamline the Chinese NER process using CKIP model. By student developers - Sherry, Berry

基于Qwen2模型进行通用信息抽取【实体/关系/事件抽取】

Use bert by transformer and pytorch-lightning

Palm Connect

Transformers 库快速入门教程

Extract total bill amount and date from the restaurant bill receipts.

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...