A presença pública do Stanford NLP no GitHub é composta por uma ampla gama de repositórios, incluindo projetos notáveis como DSPy e CoreNLP. A organização utiliza predominantemente linguagens como Python, Java, C e TeX, contribuindo para o campo do processamento de linguagem natural com ferramentas e bibliotecas acessíveis.
DSPy: The framework for programming—not prompting—language models
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings
Course notes for CS224N Winter17
Stanford NLP Python library for Representation Finetuning (ReFT)
Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)
Stanford NLP Python library for understanding and improving PyTorch models via interventions
String-to-String Algorithms for Natural Language Processing
Python interface to CoreNLP using a bidirectional server-client interface.
Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
A large-scale statistical machine translation system written in Java.
SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs
Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
The baselines used in the CoQA paper
Framework for learning dialogue agents in a two-player game setting.
Stanford NLP group's shared Python tools.
Stanford's Alexa Prize socialbot
[Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza
Workflow-Guided Exploration: sample-efficient RL agent for web tasks
Logical structure analysis for visually structured documents
http://cs224n.stanford.edu
Nenhuma descrição fornecida para este repositório.
Model training tutorials for the Stanza Python NLP Library
Code for Relevance-guided Supervision for OpenQA with ColBERT (TACL'21)
Mapping natural language commands to web elements
Nenhuma descrição fornecida para este repositório.
A baseline system for ContractNLI (https://stanfordnlp.github.io/contract-nli/)
Semantic Parser with Execution
Code for Learning to Generate Compositional Color Descriptions
Demos for the MiniWoB++ benchmark
Python bindings for Stanford CoreNLP's protobufs.
Code for our paper Resources and Evaluations for Multi-Distribution Dense Information Retrieval
Scripts for pushing models to huggingface repos
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
An English NER dataset built from foreign newswire
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
Nenhuma descrição fornecida para este repositório.
Updated version of SST
Extra hand parsed data for training models
Nenhuma descrição fornecida para este repositório.
datasets for plotting
Nenhuma descrição fornecida para este repositório.
CoQA -- A Conversational Question Answering Challenge
Web interface for the plotting project
Dataset for pdf-struct (https://github.com/stanfordnlp/pdf-struct)
A fork of ParlAI supporting Chirpy Cardinal's custom neural generator
A repository for hosting models for https://github.com/stanfordnlp/pdf-struct
A history of NLP at Stanford, initially written for the Stanford NLP 25 year reunion in 2025
A re-implementation of nndep using PyTorch.
Stanford's Alexa Prize socialbot [internal]
Sindhi tokenization data from ISRA
The repository for making new post submissions to the SAIL Blog
Nenhuma descrição fornecida para este repositório.
O stanfordnlp desenvolve ferramentas e bibliotecas para o processamento de linguagem natural, incluindo projetos populares como CoreNLP e stanza. Esses repositórios fornecem funcionalidades para tokenização, análise de sentimentos e outras tarefas relacionadas ao NLP.
A organização stanfordnlp utiliza várias linguagens de programação, sendo as principais Python, Java, C e TeX. Essas linguagens são empregadas em seus projetos para desenvolver soluções eficazes no campo do processamento de linguagem natural.
Sim, todos os repositórios do stanfordnlp são públicos. Isso permite que a comunidade acesse e utilize suas ferramentas, promovendo a colaboração e o aprimoramento no campo do processamento de linguagem natural.
Monitore Stanford NLP com o RepoGuard e receba alertas no momento em que um novo repositório público aparecer.
Monitore esta conta