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.
Interpret text data using LLMs (scikit-learn compatible).
Free and open source A.I. system based on Python, TensorFlow and Prolog.
This is a repository for sharing papers in the field of persona-based conversational AI. The related source code for each paper is linked if available...
국내 자연어 처리 기술을 연구 및 개발하는 스타트업 목록
SLING - A natural language frame semantics parser
Abstractive Text Summarization using Transformer
Doge Family of Small Language Models
Codes for papers on Large Language Models Personalization (LaMP)
Code for paper "Discourse-Aware Neural Extractive Text Summarization" (ACL20)
近代汉语语料库数据集 自然语言处理 语料库 古代汉语 古汉语 文言文 数字人文 计算语言
Preprocessing Library for Natural Language Processing
Scrape a User's Twitter data! Bypass the 3,200 tweet API limit for a User!
A spaCy wrapper of Entity-Fishing (component) for named entity disambiguation and linking on Wikidata
A Ruby natural language processor.
Multi-Task Deep Neural Networks for Natural Language Understanding
Sentence Embeddings using Siamese ETRI KoBERT-Networks
Extensive acceptance rates and information of main AI conferences
Python wrapper for evaluating summarization quality by ROUGE package
spaCy + UDPipe
Python scripts preprocessing Penn Treebank and Chinese Treebank
Implementation of BERT in R
Easier Automatic Sentence Simplification Evaluation
Code for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation"
Confidence and Byt5 - based geotagging model predicting coordinates from text alone.
Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion-LM-Papers".
对豆瓣影评进行文本分类情感分析,利用爬虫豆瓣爬取评论,进行数据清洗,分词,采用BERT、CNN、LSTM等模型进行训练,采用tensorboardX可视化训练过程,自然语言...
A Library to parse natural language in pure Clojure and ClojureScript
基于深度学习的自然语言处理库
Gita GPT A personal productivity assistant (RAG), a platform of AI chatbots, Ask Krishna GPT that uses Bhagavad Gita references to answer your questio...
An overview of the AI-as-a-service landscape
A comprehensive suite of high-level NLP tasks for Persian language
Utility for behavioral and representational analyses of Language Models
package lingo provides the data structures and algorithms required for natural language processing
A tool that locates, downloads, and extracts machine translation corpora
A python toolkit to create Visualizations (Vis) using natural language (NL) or add an NL interface to existing Vis.
Augmenty is an augmentation library based on spaCy for augmenting texts.
Building a fake news detector from initial ideation to model deployment
A professional list of Tutorials and Surveys on DL, ML, DM, CV, NLP, Speech in top AI conferences and journals.
Code for Sluice networks: Learning what to share between loosely related tasks
Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network
[Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)
[NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.
[NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
📚 Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese
A Framework for Textual Entailment based Zero Shot text classification
An open-source no-code tool for teams to collaborate on building, evaluating, and hosting applications leveraging GPT and other large language models....
Japanese negative positive classification.日本語文書のネガポジを判定。
Code for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"
Generating paper titles (and more!) with GPT trained on data scraped from arXiv.