Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text
Обновлено 2024-11-19 06:44:41 +03:00
Tutel MoE: An Optimized Mixture-of-Experts Implementation
Обновлено 2024-11-18 06:00:53 +03:00
12 Weeks, 24 Lessons, AI for All!
Обновлено 2024-11-11 22:55:47 +03:00
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Обновлено 2024-11-09 13:45:59 +03:00
This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.
Обновлено 2024-10-27 15:51:02 +03:00
GLUE is a lightweight, Python-based collection of scripts to support you at succeeding with speech and text use-cases based on Microsoft Azure Cognitive Services.
Обновлено 2024-06-18 03:26:03 +03:00
This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).
Обновлено 2024-03-16 09:53:11 +03:00
A web app to create and browse text visualizations for automated customer listening.
Обновлено 2023-10-27 06:29:49 +03:00
Firefox Translations is a webextension that enables client side translations for web browsers.
Обновлено 2023-09-04 12:30:18 +03:00
Self-training with Weak Supervision (NAACL 2021)
Обновлено 2023-07-25 01:35:52 +03:00
End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service
Обновлено 2023-06-12 21:59:00 +03:00
Testing Diverse Reasoning of NLI Systems
Обновлено 2022-11-28 22:08:09 +03:00
AI Assistant for Building Reliable, High-performing and Fair Multilingual NLP Systems
Обновлено 2022-08-19 10:21:28 +03:00
Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.
Обновлено 2022-01-10 02:07:54 +03:00
Japanese NLP sample codes
Обновлено 2021-10-19 17:45:33 +03:00
A relation-aware semantic parsing model from English to SQL
Обновлено 2021-06-19 03:42:00 +03:00
This is a list of open-source projects at Microsoft Research NLP Group
Обновлено 2020-09-30 01:11:02 +03:00
ReconNER, Debug annotated Named Entity Recognition (NER) data for inconsistencies and get insights on improving the quality of your data.
Обновлено 2020-07-26 11:17:21 +03:00