Search results for: natural language processing

Project: Natural Language Processing Solutions Ref. #: 23-04597 Type: RFP Status: Open Open Date: Mar 14th 2023, 2:00 PM PDT Questions Due Date: Mar 20th 2023, 5:00 PM PDT Close Date: Mar 30th 2023, 2:00 PM PDT Days Left: 2 Project Description:Natural Language Processing Solutions Important Events:OngoingOpen DateOnline PortalPosting date for the OpportunityMar 14th 2023, 2:00 PM PDTN/AUpcomingClose DateOnline PortalDeadline for SubmissionsMar 30th

Do not include promotional materials Vendors are requested to provide the name of Contact Person for their company, telephone number, and email and complete address with each submission of data and include 75N97019Q00005 -Advanced Natural Language Processing and Artificial Intelligence Platform on cover page. Please submit all information electronically to Em'Ria J.

NATURAL LANGUAGE PROCESSING SUPPORT SERVICES Solicitation ID/Procurement Identifier: 70RSAT20D00000001 Ultimate Completion Date: Thu Apr 14 17:00:00 GMT 2022

NATURAL LANGUAGE PROCESSING SOFTWARE AND SUPPORT SERVICES Solicitation ID/Procurement Identifier: HHSN316201500008W Ultimate Completion Date: Thu Sep 29 17:00:00 GMT 2022

SUBJECT MATTER EXPERT-ARTIFICIAL INTELLIGENCE (AI) IN NATURAL LANGUAGE PROCESSING (NLP) Solicitation ID/Procurement Identifier: 75F40121P00058 Ultimate Completion Date: Mon Jan 31 18:00:00 GMT 2022

catherine.lopez@tstc.edu">catherine.lopez@tstc.edu Response Due Time: 2:00 PM Agency/Texas SmartBuy Member Number: 719 Days Solicited: 14+ Days for Entire Solicitation Package Solicitation Posting Date: 11/1/2022 Response Due Date: 11/15/2022 Last Modified: 11/1/2022 4:40 pm Solicitation Description: SkillsEngine at TSTC is focused on aligning educators, employers, and workforce development interests through shared technology and a common skills language

ET, January 4, 2022.Army SBIR 21.4 Topic IndexA214-050                Natural Language Processing+A214-50TITLE:   Natural Language Processing+   OBJECTIVE: The objective of this topic is to develop Artificial Intelligence / Machine Learning models to augment Natural Language Processing (NLP) capabilities in 2 main challenge areas: relationship detection and aggregation – automatically detecting relationships that exist between the entities that were