natural-language-processing
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
Repositories (1431)
Cornell Semantic Parsing Framework
Pytorch implementation of "Graph Convolutional Networks for Text Classification"
📝 A list of pre-trained BERT models for Japanese with word/subword tokenization + vocabulary construction algorithm information
[EMNLP 2021] LingFeat - A Comprehensive Linguistic Features Extraction ToolKit for Readability Assessment
Multilingual Large Language Models Evaluation Benchmark
Some recipes of natural language pre-processing
XLNet Extension in TensorFlow
Detect common phrases in large amounts of text using a data-driven approach. Size of discovered phrases can be arbitrary. Can be used in languages oth...
Discovering New Intents with Deep Aligned Clustering (AAAI 2021)
A framework for human-readable prompt-based method with large language models. Specially designed for researchers. (Deprecated, check out LangChain fo...
I created an application which takes in live speech or audio recording as input, converts it into text and displays the relevant Indian Sign Language...
Financial Domain Question Answering with pre-trained BERT Language Model
《自然语言处理综论》第三版翻译。
Conversational Toolkit. An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation
Research code for ACL 2020 paper: "Distilling Knowledge Learned in BERT for Text Generation".
Pytorch Implementation of our ACL 2020 Paper "Reasoning with Latent Structure Refinement for Document-Level Relation Extraction"
🤖 聊天机器人示例，定制聊天机器人，聊天机器人语料导入导出
KLUE 데이터를 활용한 HuggingFace Transformers 튜토리얼
Chat to your database with AI. An experimental app to test the abilities of LLMs to query SQL databases using natural language.
My personal toolkit for PyTorch development.
NLPCC 2016 微博分词评测项目
This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)
:speech_balloon: An English-Persian Dictionary of Computer Science and Artificial Intelligence
CrossNorm and SelfNorm for Generalization under Distribution Shifts, ICCV 2021
Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively Adapting Pret...
Implementation of GPT from scratch. Design to be lightweight and easy to modify.
Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020
[ACL 2023 Findings] FACTUAL dataset, the textual scene graph parser trained on FACTUAL.
StoryCraftr is an open-source AI-powered tool that helps writers craft stories, generate worldbuilding details, and create book outlines and chapters...
💫 Scripts, tools and resources for developing spaCy
My personal notes and surveys on DL, CV and NLP papers.
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension (CMRC 2019)
使用 RASA NLU 来构建中文自然语言理解系统（NLU）| Use RASA NLU to build a Chinese Natural Language Understanding System (NLU)
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
Библиотека для извлечения статистик из текстов на русском языке.
Accelerated NLP pipelines for fast inference on CPU and GPU. Built with Transformers, Optimum and ONNX Runtime.
《动手学深度学习》的MindSpore实现。供MindSpore学习者配合李沐老师课程使用。
A wide variety of research projects developed by the SpokenNLP team of Speech Lab, Alibaba Group.
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development
A text analysis application for performing common NLP tasks through a web dashboard interface and an API
读过的CV方向的一些论文，图像生成文字、弱监督分割等
A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer visi...
GPT.sh is a CLI tool built with NodeJs and powered by Open AI's GPT-3. It's main purpose is to translate natural language questions and requests into...
LauzHack Deep Learning Bootcamp
Official codes for the paper: A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss.
Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"
Framework to learn Named Entity Recognition models without labelled data using weak supervision.
An unobtrusive Obsidian plugin that quietly processes equations and patterns in real time
Deliver the ready-to-train data to your NLP model.
Zemberek Turkish NLP examples written in Python using the JPype package. Battle-tested in hackathons and r&d projects by many students and researchers...