nlu | 1 line for thousands of State of The Art NLP models | Natural Language Processing library

 by   JohnSnowLabs Python Version: 421 License: Apache-2.0

kandi X-RAY | nlu Summary

kandi X-RAY | nlu Summary

nlu is a Python library typically used in Artificial Intelligence, Natural Language Processing, Pytorch, Bert applications. nlu has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Take a look at our official NLU page: for user documentation and examples.
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            kandi-support Support

              nlu has a low active ecosystem.
              It has 675 star(s) with 103 fork(s). There are 22 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 23 open issues and 13 have been closed. On average issues are closed in 25 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of nlu is 421

            kandi-Quality Quality

              nlu has no bugs reported.

            kandi-Security Security

              nlu has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              nlu is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              nlu releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed nlu and discovered the below as its top functions. This is intended to give you an instant insight into nlu implemented functionality, and help decide if they suit your requirements.
            • Visualize Sentence embedding
            • Configures light pipeline usage
            • Predict function
            • Predict the model
            • Set column values from components from a pretrained pipeline
            • Check if running in databricks
            • Get the json data for the pipeline at the given stage
            • Display word similarity matrix similarity matrix
            • Get code for a given viz
            • Visualize the given text
            • Substitute column names in dataframe
            • Replaces untrained component with the trained model
            • Visualize streamlit
            • Visualize word embedding
            • Visualize sentence embedding
            • Displays the model info
            • Add chunk embedding to the pipeline
            • Extracts the maximum confidence value from a row
            • Visualize entity embedding
            • Ensures that the pipeline stacks are satisfied
            • Visualize the word embedding
            • Viewviz dashboard
            • Visualize classifiers
            • Visualize token information
            • Generate a summary of the given data
            • Extracts the k subfields from a row
            Get all kandi verified functions for this library.

            nlu Key Features

            No Key Features are available at this moment for nlu.

            nlu Examples and Code Snippets

            No Code Snippets are available at this moment for nlu.

            Community Discussions

            QUESTION

            Extract entities without specifying during intent specification
            Asked 2021-Jun-07 at 10:43

            I am using Rasa 2.0 to build an FAQ chatbot, wherein I have a large dataset, and specifying entities while defining intents does not seem efficient to me.

            I have the intents and examples defined in nlu.yml and would like to extract entities.

            Here is an example of what I want to achieve,

            User message -> I want a hospital in Delhi. Entity -> Delhi, hospital

            Is it possible to do so?

            ...

            ANSWER

            Answered 2021-Jun-07 at 10:43

            You could use entity annotations in your nlu training data; for example, assuming you have defined building_type and city as entity names:

            I want a [hospital]("building_type") in [Delhi]("city").

            Alternatively, you could try out these options:

            • annotate a smaller sample (for example, those entities that are essential for your FAQ assistant)
            • use the RegexEntityExtractor to write some rules
            • if you have a list of entities, you can use lookup tables to generate the regular expressions

            Source https://stackoverflow.com/questions/67735256

            QUESTION

            Elongating a Data Frame in Pandas
            Asked 2021-Jun-04 at 21:40

            all. I am working on a personal NLP/NLU project using the nps_chat corpus. I am working on identifying all the questions asked and then doing some further analysis.

            It is a rather large data set and is formatted as such:

            ...

            ANSWER

            Answered 2021-Jun-04 at 21:30

            Perhaps this is what you are looking for?

            Source https://stackoverflow.com/questions/67844110

            QUESTION

            Understanding RASA Forms
            Asked 2021-Apr-06 at 11:23
            My goal:

            I'm trying to implement a simple report rule using Forms for my RASA Assistant, which should work as following:

            ...

            ANSWER

            Answered 2021-Apr-06 at 11:23

            Thie issue is your implementation of validate_report_message_form. This action is also called during the activation of your form which means that extract_report_message will fill it with the text of the message which activates the form. You can fix that by adding a check of if tracker.slots["requested_slot"] == "report_message" to ensure to only set this slot when Rasa Open Source requested the user to fill the slot.

            Source https://stackoverflow.com/questions/66935112

            QUESTION

            Handling misspelled entities
            Asked 2021-Apr-02 at 16:02

            let me describe you my problem. I have NLU intent get_food with examples like this:

            ...

            ANSWER

            Answered 2021-Apr-02 at 16:02

            You would need to call a custom action to clean-up the spelling errors.

            Source https://stackoverflow.com/questions/66855344

            QUESTION

            Uncomplete installation of the RASA package with the issue: FileNotFoundError: [Errno 2] No such file or directory: 'HISTORY.rst'
            Asked 2021-Apr-01 at 14:19

            i have been using rasa for the past few weeks without problems. But recently i had issues with the installation of Spacy, leading me to uninstall an reinstall python. The issue may have occurred because of some dualities between python3.8 and 3.9 which i wasnt abled to pinpoint.

            After deleting all python version from my computer, i just reinstalled python 3.9.2. and reinstall rasa with:

            ...

            ANSWER

            Answered 2021-Mar-21 at 14:59

            rasa 2.4 declares compatibility with Python 3.6, 3.7 and 3.8 but not 3.9 so pip is trying to find one compatible with 3.9 or at least one that doesn't declare any restriction. It finds such release at version 0.0.5.

            To use rasa 2.4 downgrade to Python 3.8.

            PS. Don't hurry up to upgrade to the latest Python — 3rd-party packages are usually not so fast. Currently Python 3.7 and 3.8 are the best.

            Source https://stackoverflow.com/questions/66733525

            QUESTION

            NLU Watson API - ApiException: Error: invalid request: content is empty, Code: 400
            Asked 2021-Mar-14 at 22:54

            I am trying to do Name Entity Recognition, using Python and IBM Watson API. I did it before, but now faced a weird problem. This is a similar question.

            ApiException: Error: invalid request: content is empty, Code: 400 , X-global-transaction-id: 9ba464a0-310b-4106-8044-0362ba1d5850

            I managed to get results only on a very small sample (10 articles), but if I increase it, I get this error above.

            My code:

            ...

            ANSWER

            Answered 2021-Mar-14 at 22:54

            The ApiException: Error: invalid request: content is empty, Code: 400 error occurs when an empty string or invalid characters are passed as input to Watson NLU.

            Check your input data for missing or invalid text values before dispatching the API request.

            Source https://stackoverflow.com/questions/66628569

            QUESTION

            Great sample Bot Timeout, but where to put it?
            Asked 2021-Mar-08 at 06:15

            I am using BotFramework 4.x with NetCore.App 3.1 and have successfully plugged in our NLU engine to accept and respond to the text input from the bot framework. I want to add a timeout function so that I can reset the session after 5 minutes. There is some great code at https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-howto-expire-conversation?view=azure-bot-service-4.0&tabs=csharp. I am using the EchoBot sample as my basis, and so I don't align with the cs naming in the sample and I am not sure where to put this code in my bot.

            ...

            ANSWER

            Answered 2021-Mar-08 at 06:15

            The EchoBot is a basic bot sample. You will need to add more code while following the article for restarting conversations.

            The sample code in this article begins with the structure of a multi-turn bot.

            If you want to follow along this article, I suggest using this sample.

            https://github.com/microsoft/BotBuilder-Samples/blob/main/samples/csharp_dotnetcore/05.multi-turn-prompt/Bots/DialogBot.cs

            Source https://stackoverflow.com/questions/66511357

            QUESTION

            Unable to get VM debian machine work with K80
            Asked 2021-Jan-07 at 22:50

            I create a deep learning VM to run a project using some custom tensorflow models and google vision api, google nlu api. I set up a machine with Debian10 and tensorflow 2.4(cuda11) and I choose 1 nvidia K80 GPU. I installed cuda11 using this link. when I run nvidia-smi, I get this famous ugly message:

            ...

            ANSWER

            Answered 2021-Jan-07 at 20:33

            I tried to reproduce this error in my own project. I have installed a VM Instance with the following characteristics:

            • Machine type: n1-standard-1
            • GPUs: 1 x NVIDIA Tesla K80
            • Boot disk: debian-10-buster-v20201216

            As you mentioned in your post there are no drivers for Linux: CUDA Toolkit 10, So I used the steps described in this link to install it, I had some complications to install the drivers and at the end I was able to reproduce your issue and I got the following message after the installation:

            Source https://stackoverflow.com/questions/65616102

            QUESTION

            IBM Watson NLU: How to determine remaining credits via API Endpoint?
            Asked 2020-Dec-16 at 15:46

            I am using a Free plan for IBM Watson Natural Language Understanding. I'd like to check the remaining credits of my plan for the given resource with a single API call.

            I've seen something like Get credit pools in the IBM Cloud docs, but I am not able to determine my billing_unit_id which is required to make the request. Is this even doable for a Free plan? If so, could you help me with where to find a billing_unit_id or redirecting me to another API Endpoint (that hopefully has a cURL example) so I could check remaining credits of my NLU instance?

            ...

            ANSWER

            Answered 2020-Dec-16 at 15:46

            What you referred to is part of the billing and sage API for so-called Enterprises. An IBM Cloud enterprise is comparable to a meta account which allows to manage a hierarchy of accounts and account groups. It is not available for free and regular accounts and is unrelated to NLU usage.

            What you are looking for is a way to see your usage for the IBM Watson Natural Language Understanding service. The usage in NLU items is returned in each API response.

            For total usage reporting, you should check out the Billing and usage section in your account. There you can drill down. If you then have identified details, look into the usage reporting API or the CLI commands.

            Source https://stackoverflow.com/questions/65310478

            QUESTION

            What is the meaning of the metric “it/s” when training or evaluating models in Rasa?
            Asked 2020-Nov-26 at 15:52

            I am currently comparing several NLU configurations in the Rasa framework.

            I would like to know what the it in it/s as seen in the log while training or evaluating a configuration in Rasa means. Iterations maybe? What does that metric exactly tell us?

            Example from a recent log (metric used at the end of the line):

            ...

            ANSWER

            Answered 2020-Nov-26 at 13:23

            it/s is not a (Rasa or ML specific) metric, it is just the iterations/second performed by the system (here during the prediction phase).

            As a general rule, you may want to keep in mind that nothing really important (and certainly not any metric) is expected to be reported through an INFO message in the logs; it/s is just such an informational indication and, as already said, not a metric.

            Source https://stackoverflow.com/questions/65021584

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

            Vulnerabilities

            No vulnerabilities reported

            Install nlu

            To get your hands on the power of NLU, you just need to install it via pip and ensure Java 8 is installed and properly configured. Checkout Quickstart for more infos.

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