Anote

See how you can use Anote to identify and classify named entities. This tutorial goes over how you can easily use our interface to perform this task. https://lnkd.in/ewyxPwEK

Looking to extract information from your documents? Check out this tutorial of how you can use Anote to perform this task. https://lnkd.in/eT9CkSQF

Happy Friday! Read this case study where Anote works with Ship Index to perform a solution that entailed using OpenAI's GPT-3 for name extraction, post-processing, and refinement. https://lnkd.in/eqzgGsHN

This tutorial goes over how to use Anote to extract information from earnings press releases. These simple 4 steps: Upload, Prompt, Annotate, and Download helps users easily get and organize information.  https://lnkd.in/e7VMrrAh

See how we collaborated with Abstractive Health to help our client generate summaries for large amount of medical documents and charts to save medical students and researchers tons of time and resources. https://lnkd.in/eFKdwmxd

See our Review Mode feature that gives administrators on our Anote platform to review actions from annotators and correct potential mistakes or changes. https://lnkd.in/e-PMHwed

Read this case study about how Anote created Workflows as a method to collect answers from a series of questions within documents to generate a customizable report. https://lnkd.in/e_WEwz99

This tutorial goes over Anote's Multi-Annotator Collaboration which allows admins to collaborate with other users as annotators to perform data labeling tasks. https://lnkd.in/etHsrgJX

Check out this case study where we helped Mia, a legal expert, seeks to access deep insights from a large collection of legal case studies. She had over 500 documents, each on average 15 to 25 pages, and a series of around 40 questions she wanted to answer. Using 5 crucial components we were able to help Mia efficiently accomplish her goal: 1. Data split and initial evaluation 2. Initial predictions 3. Human feedback integration 4. Fine-tuning 5. Repetition for subsequent documents https://lnkd.in/ehwziMfW

Check out this case study we did for a client where we explored the process of scraping data from 79 URLs associated with Hardy Riggings. Our objective is to extract valuable information such as product titles, descriptions, variants, prices, product manuals, and spec sheets. https://lnkd.in/e7cKRhzC