DocSum | automatically summarize documents | Natural Language Processing library

 by   HHousen Python Version: Current License: GPL-3.0

kandi X-RAY | DocSum Summary

kandi X-RAY | DocSum Summary

DocSum is a Python library typically used in Manufacturing, Utilities, Machinery, Process, Artificial Intelligence, Natural Language Processing, Deep Learning, Tensorflow, Bert, Transformer applications. DocSum has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However DocSum build file is not available. You can download it from GitHub.

A tool to automatically summarize documents (or plain text) using either the BART or PreSumm Machine Learning Model. BART (BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension) is the state-of-the-art in text summarization as of 02/02/2020. It is a "sequence-to-sequence model trained with denoising as pretraining objective" (Documentation & Examples). PreSumm (Text Summarization with Pretrained Encoders) applies BERT (Bidirectional Encoder Representations from Transformers) to text summarization by using "a novel document-level encoder based on BERT which is able to express the semantics of a document and obtain representations for its sentences." BERT represented "the latest incarnation of pretrained language models which have recently advanced a wide range of natural language processing tasks" at the time of writing (Documentation & Examples).
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              DocSum has a low active ecosystem.
              It has 61 star(s) with 10 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 8 have been closed. On average issues are closed in 43 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of DocSum is current.

            kandi-Quality Quality

              DocSum has 0 bugs and 0 code smells.

            kandi-Security Security

              DocSum has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              DocSum code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              DocSum is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              DocSum releases are not available. You will need to build from source code and install.
              DocSum has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              DocSum saves you 564 person hours of effort in developing the same functionality from scratch.
              It has 1318 lines of code, 88 functions and 10 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed DocSum and discovered the below as its top functions. This is intended to give you an instant insight into DocSum implemented functionality, and help decide if they suit your requirements.
            • Forward computation
            • Returns a TransformerDecoderState
            • Evaluate the rouge model
            • Translate a batch
            • Create a list of translations from a given translation
            • Translate a single batch
            • Process a tqdm xml file
            • Return a list of all pages that are not close together
            • Summarize a document
            • Summarize a folder of documents
            • Collate tokens into a single batch
            • Build data loader from documents
            • Translate the given batch
            • Check if a directory exists
            • Calculate the probability score for a beam
            • Returns the length of the weight penalty
            • Parse an XML file
            Get all kandi verified functions for this library.

            DocSum Key Features

            No Key Features are available at this moment for DocSum.

            DocSum Examples and Code Snippets

            No Code Snippets are available at this moment for DocSum.

            Community Discussions

            QUESTION

            Regex - Extracting PubMed publications via Beautiful Soup, identify authors from my list that appear in PubMed article, and add bold HTML tags
            Asked 2021-Jan-29 at 20:18

            I'm working with a project where we are web-scraping PubMed research abstracts and detecting if any researchers from our organization have authorship on any new publications. When we detect a match, we want to add a bold HTML tag. For example, you might see something like this is PubMed: Sanjay Gupta 1 2 3, Mehmot Oz 3 4, Terry Smith 2 4 (the numbers denote their academic affiliation, which corresponds to a different field, but I've left this out for simplicity. If Mehmot Oz and Sanjay Gupta were in my list, I would add a bold tag before their first name and a tag to end the bold at the end of their name.

            One of my challenges with PubMed is the authors sometimes only show their first and last name, other times it includes a middle initial (e.g., Sanjay K Gupta versus just Sanjay Gupta). In my list of people, I only have first and last name. What I tried to do is import my list of names, split first and last name, and then bold them in the list of authors. The problem is that my code will bold anyone with the first name or anyone with the last name (example: Sanjay Smith 1 2 3, Sanjay Gupta 1 3 4, Wendy Gupta 4 5 6, Linda Oz 4, Mehmet Jones 5, Mehmet Oz 1 4 6.) gets bolded. I realize the flaw in my code, but I'm struggling for how to get around this. Any help is appreciated.

            Bottom Line: I have a list of people by first name and last name, I want to find their publications in PubMed and bold their name in the author credits. PubMed sometimes has their first and last name, but sometimes their middle initial.

            To make things easier, I denoted the section in all caps for the part in my code where I need help.

            ...

            ANSWER

            Answered 2021-Jan-29 at 19:50

            Here is the modification that needs to be done in the section you want help with. Here is the algorithm:

            1. Create list of authors by splitting on ,
            2. For each author in authors, check if au_l and au_f are present in author.
            3. If true, add tags

            Source https://stackoverflow.com/questions/65960036

            QUESTION

            Python - Beautiful Soup: Webscraping PubMed - extracting PMIDs (an article ID), adding to list, and preventing duplicate scraping
            Asked 2021-Jan-22 at 02:25

            I want to extract research abstracts on PubMed. I will have multiple URLs to search for publications and some of them will have the same articles as others. Each article has a unique ID called a PMID. Basically, the abstract of each URL is a substring + the PMID (example: https://pubmed.ncbi.nlm.nih.gov/ + 32663045). However, I don't want to extract the same article twice for multiple reasons (i.e., takes longer to complete the entire code, uses up more bandwidth), so once I extract the PMID, I add it to a list. I'm trying to make my code only extract information from the abstract just once, however my code is still extracting duplicate PMIDs and publication titles.

            I know how to get rid of duplicates in Pandas in my output, but that's not what I want to do. I want to basically skip over PMIDs/URLs that I already scraped.

            Current Output

            Title| PMID
            COVID-19 And Racial/Ethnic Disparities In Health Risk | 32663045
            The Risk Of Severe COVID-19 | 32941086
            COVID-19 And Racial/Ethnic Disparities In Health Risk | 32663045
            The Risk Of Severe COVID-19 | 32941086

            Desired Output

            Title| PMID
            COVID-19 And Racial/Ethnic Disparities In Health Risk | 32663045
            The Risk Of Severe COVID-19 | 32941086

            Here's my code:

            ...

            ANSWER

            Answered 2021-Jan-22 at 02:24

            Just an indentation error, or more accurately, where you are running your two for loops. If it isn't just an overlooked mistake, read the explanation. If it is just a mistake, unindent your second for loop.

            Because you are searching all_pmids within your larger search_url loop without resetting it after each search, it finds the first two pmids, adds them to all_pmids, then runs the next loop for those two.

            In the second run of the outer loop, it finds the next two pmids, sees they're already in ```all_pmids`` so doesn't add them, but still runs the inner loop on the first two still stored in the list.

            You should run the inner loop separately, as such:

            Source https://stackoverflow.com/questions/65838383

            QUESTION

            how to get xpath href in a dense html tree
            Asked 2020-Apr-05 at 18:20

            I am trying to get href data for the below url

            ...

            ANSWER

            Answered 2020-Apr-05 at 18:20

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install DocSum

            These instructions will get you a copy of the project up and running on your local machine.

            Support

            All Pull Requests are greatly welcomed.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/HHousen/DocSum.git

          • CLI

            gh repo clone HHousen/DocSum

          • sshUrl

            git@github.com:HHousen/DocSum.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link