"NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data" - Information and Links:

NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data - Info and Reading Options

"NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data" and the language of the book is English.


“NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data” Metadata:

  • Title: ➤  NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data
  • Author: ➤  
  • Language: English

Edition Identifiers:

  • Internet Archive ID: NASA_NTRS_Archive_20220001825

AI-generated Review of “NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data”:


"NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data" Description:

The Internet Archive:

This presentation discusses two efforts of the NARI AI/ML Intern team during the Fall 2021 OSTEM Internship term. For Letters of Agreement (LoA), we have studied how LoAs are structured and explored the question ‘What is an LoA constraint?’ To do this, our approach is data-driven, iterative, and assisted by machine learning when available. In this presentation, we will walk through our tasks of manually scanning through documents, performing a preliminary entity labelling task, and our unsupervised analysis on LoA procedures sections. After this research phase, we define the smallest constraint unit in an LoA, and start to perform entity extraction. Looking towards constraint extraction, we are also exploring the use of a one-class support vector machine (OneClassSVM) model to identify patterns within the data.\n\nThe second effort of our team this term is focused on Air Traffic Control System Command Center (ATCSCC) advisory meetings, and the subsequent advisory documents that get published from their content. These advisory documents are important to give readily accessible summaries of daily operations, so that data centers, airline officials, and other stakeholders can easily understand the context of these meetings in real time. In applying machine learning to this scenario, two natural language processing tasks are used. First is developing machine learning models to convert the meeting speech data into text. With this text, use of extractive and abstractive text summarization models are used to automatically generate preliminary versions of the advisory documents.

Read “NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data”:

Read “NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data” by choosing from the options below.

Available Downloads for “NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data”:

"NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data" is available for download from The Internet Archive in "texts" format, the size of the file-s is: 1.21 Mbs, and the file-s went public at Mon May 29 2023.

Legal and Safety Notes

Copyright Disclaimer and Liability Limitation:

A. Automated Content Display
The creation of this page is fully automated. All data, including text, images, and links, is displayed exactly as received from its original source, without any modification, alteration, or verification. We do not claim ownership of, nor assume any responsibility for, the accuracy or legality of this content.

B. Liability Disclaimer for External Content
The files provided below are solely the responsibility of their respective originators. We disclaim any and all liability, whether direct or indirect, for the content, accuracy, legality, or any other aspect of these files. By using this website, you acknowledge that we have no control over, nor endorse, the content hosted by external sources.

C. Inquiries and Disputes
For any inquiries, concerns, or issues related to the content displayed, including potential copyright claims, please contact the original source or provider of the files directly. We are not responsible for resolving any content-related disputes or claims of intellectual property infringement.

D. No Copyright Ownership
We do not claim ownership of any intellectual property contained in the files or data displayed on this website. All copyrights, trademarks, and other intellectual property rights remain the sole property of their respective owners. If you believe that content displayed on this website infringes upon your intellectual property rights, please contact the original content provider directly.

E. Fair Use Notice
Some content displayed on this website may fall under the "fair use" provisions of copyright law for purposes such as commentary, criticism, news reporting, research, or educational purposes. If you believe any content violates fair use guidelines, please reach out directly to the original source of the content for resolution.

Virus Scanning for Your Peace of Mind:

The files provided below have already been scanned for viruses by their original source. However, if you’d like to double-check before downloading, you can easily scan them yourself using the following steps:

How to scan a direct download link for viruses:

  • 1- Copy the direct link to the file you want to download (don’t open it yet).
    • (a free online tool) and paste the direct link into the provided field to start the scan.
  • 2- Visit VirusTotal (a free online tool) and paste the direct link into the provided field to start the scan.
  • 3- VirusTotal will scan the file using multiple antivirus vendors to detect any potential threats.
  • 4- Once the scan confirms the file is safe, you can proceed to download it with confidence and enjoy your content.

Available Downloads

  • Source: Internet Archive
  • All Files are Available: Yes
  • Number of Files: 5
  • Number of Available Files: 5
  • Added Date: 2023-05-29 08:00:54
  • Scanner: Internet Archive Python library 3.0.2

Available Files:

1- Text PDF

  • File origin: original
  • File Format: Text PDF
  • File Size: 0.00 Mbs
  • File Name: 20220001825.pdf
  • Direct Link: Click here

2- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: NASA_NTRS_Archive_20220001825_files.xml
  • Direct Link: Click here

3- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: NASA_NTRS_Archive_20220001825_meta.sqlite
  • Direct Link: Click here

4- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: NASA_NTRS_Archive_20220001825_meta.xml
  • Direct Link: Click here

5- Archive BitTorrent

  • File origin: metadata
  • File Format: Archive BitTorrent
  • File Size: 0.00 Mbs
  • File Name: NASA_NTRS_Archive_20220001825_archive.torrent
  • Direct Link: Click here

Search for “NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data” in Libraries Near You:

Read or borrow “NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data” from your local library.

Buy “NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data” online:

Shop for “NASA Technical Reports Server (NTRS) 20220001825: Natural Language Processing Methods For Air Traffic Management Text And Speech Data” on popular online marketplaces.