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参議院選挙2025
stanfordnlp.github.io
Stanza – A Python NLP Package for Many Human Languages Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text, Stanza divides it into sentences and words, and then can recognize parts of speech and entities, do syntactic analysis, and more. Stanza brings state-of-the-art NLP models to languages of your choosing. Table of c
⚠️ Note ⚠️ All development, issues, ongoing maintenance, and support have been moved to our new GitHub repository as the toolkit is being renamed as Stanza since version 1.0.0. Please visit our new website for more information. You can still download stanfordnlp via pip, but newer versions of this package will be made available as stanza. This site is kept for archival purposes. ⚠️ Note ⚠️ All dev
CoQA is a large-scale dataset for building Conversational Question Answering systems. The goal of the CoQA challenge is to measure the ability of machines to understand a text passage and answer a series of interconnected questions that appear in a conversation. CoQA is pronounced as coca . CoQA paper CoQA contains 127,000+ questions with answers collected from 8000+ conversations. Each conversati
Software Summary The Stanford NLP Group produces and maintains a variety of software projects. Stanford CoreNLP is our Java toolkit which provides a wide variety of NLP tools. Stanza is a new Python NLP library which includes a multilingual neural NLP pipeline and an interface for working with Stanford CoreNLP in Python. The GloVe site has our code and data for (distributed, real vector, neural) w
Download CoreNLP 4.5.9 CoreNLP on GitHub CoreNLP on 🤗 CoreNLP on Maven What’s new: The v4.5.3 release adds an Ssurgeon interface AboutCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency pa
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