NERs | Some basic NER algorithms implemented by PyTorch | Natural Language Processing library

 by   liuslnlp Python Version: Current License: MIT

kandi X-RAY | NERs Summary

kandi X-RAY | NERs Summary

NERs is a Python library typically used in Artificial Intelligence, Natural Language Processing, Pytorch applications. NERs 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.

Some basic NER algorithms implemented by PyTorch.
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              NERs has a low active ecosystem.
              It has 8 star(s) with 3 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              NERs has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of NERs is current.

            kandi-Quality Quality

              NERs has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              NERs is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              NERs releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

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            NERs Key Features

            No Key Features are available at this moment for NERs.

            NERs Examples and Code Snippets

            No Code Snippets are available at this moment for NERs.

            Community Discussions

            QUESTION

            deeppavlov model train no module found
            Asked 2021-Apr-12 at 09:24

            I'm trying to start deeppavlov model training on GoogleColab:

            ...

            ANSWER

            Answered 2021-Feb-20 at 12:40

            Please make sure that you've installed all the model requirements by running

            Source https://stackoverflow.com/questions/66291023

            QUESTION

            Custom NERs training with spaCy 3 throws ValueError
            Asked 2021-Feb-24 at 18:00

            I am trying to add custom NER labels using spacy 3. I found tutorials for older versions and made adjustments for spacy 3. Here is the whole code I am using:

            ...

            ANSWER

            Answered 2021-Feb-24 at 18:00

            You need to change the following line in the for loop

            Source https://stackoverflow.com/questions/66311315

            QUESTION

            if statements in laravel
            Asked 2020-Nov-24 at 11:56

            I want to display data in view with if statement. but in the if condition, the else data (No data available) also appears. how does the data in else not appear in the if condition?

            ...

            ANSWER

            Answered 2020-Nov-24 at 09:00

            Get Top 5 Trainer, it mean $trainers get filter top(5) and order by sessions?

            Source https://stackoverflow.com/questions/64982850

            QUESTION

            Mapping New Date in JavaScript
            Asked 2020-Aug-28 at 17:06

            Here is my data.

            ...

            ANSWER

            Answered 2020-Aug-28 at 16:58

            Are you trying to do something like this? Can't get what you trying to achieve... Check code below, read comments, test it by pressing "Run code snippet"

            Source https://stackoverflow.com/questions/63636653

            QUESTION

            Training SpaCy NER with a custom dataset
            Asked 2020-Jun-26 at 04:27

            I have followed this SpaCy tutorial for training a custom dataset. My dataset is a gazetteer. Therefore, I made my training data as the following.

            ...

            ANSWER

            Answered 2020-Jun-26 at 04:27

            The reason for the poor results is due to a concept called catastrophic forgetting. You can get more information here.

            tl;dr

            As you are training your en_core_web_sm model with new entities, it is forgetting what it previously learnt.

            In order to make sure that the old learnings are not forgotten, you need to feed the model examples of the other types of entities too during retraining. By doing this, you will ensure that the model does not self tune and skew itself to predict everything as the new entity being trained.

            You can read about possible solutions that can be implemented here

            Source https://stackoverflow.com/questions/62585306

            QUESTION

            Get the start and end position of found named entities
            Asked 2020-May-19 at 16:36

            I am very new to ML and also Spacy in general. I am trying to show Named Entities from an input text.

            This is my method:

            ...

            ANSWER

            Answered 2020-May-19 at 16:36

            So I actually found an answer right after posting this question (typical).

            I found that I didn't need to save the information into entity_scores, but instead just iterate over the actual found entities ent:

            I ended up adding for ent in doc.ents: instead and this gives me access to all the standard Spacy attributes. See below:

            Source https://stackoverflow.com/questions/61895995

            QUESTION

            Using Angular 2 & Spring Boot & PL/SQL without JPA
            Asked 2020-Mar-09 at 14:25

            Good day, I am a back-end developer and currently learning Angular for front-end. In my job, we have to work with a huge amount of data. Unfortunately, in JPA using Oracle PL/SQL is difficult(Procedures, Functions). For this reason, I must not use JPA for working with a huge amount of data in the database. Instead of JPA, I use pure JDBC(using Connection, PrepareStatement, and ResultSet for calling Oracle procedures). However, I have difficulties with "Update, Delete" operations on Angular when I am using Rest API with pure JDBC and Angular.

            There some code of working operations(Create, Read) :

            ...

            ANSWER

            Answered 2020-Mar-09 at 14:25

            After some time, I found a solution for my problem, the problem was on REST API URLs.

            Source https://stackoverflow.com/questions/60522657

            QUESTION

            What is the process to create an FAQ bot using Spacy?
            Asked 2019-Dec-11 at 12:08

            I am beginner to Machine Learning and NLP, I have to create a bot based on FAQ dataset, Each FAQ dataset excel file contains 2 columns "Questions" and its "Answers".

            Eg. A record from an excel file (A question & it's answer).

            Question - What is RASA-NLU?

            Answer - Rasa NLU is trained to identify intent and entities. Better the training, better the identification...

            We have 3K+ excel files which has around 10K to 20K such records each excel.

            To implement the bot, I would have followed exactly this FAQ bot approach which uses RASA-NLU, but the RASA,Chatterbot also Microsoft's QnA maker are not allowed in my organization.

            And Spacy does the NER extraction perfectly for me, so I am looking for a bot creation using Spacy. but I don't know how to proceed further after extracting the entities. (IMHO, I will have to predict the exact question from dataset (and its answer from knowlwdge base) from user query to the bot)

            I don't know what NLP algorithm/ ML process to be used or is there any easiest way to create that FAQ bot using extracted NERs.

            ...

            ANSWER

            Answered 2019-Dec-11 at 12:08

            One way to achieve your FAQ bot is to transform the problem into a classification problem. You have questions and the answers can be the "labels". I suppose that you always have multiple training questions which map to the same answer. You can encode each answer in order to get smaller labels (for instance, you can map the text of the answer to an id). Then, you can use your training data (the questions) and your labels (the encoded answers) and feed a classifier. After the training your classifier can predict the label of unseen questions. Of course, this is a supervised approach, so you will need to extract features from your training sentences (the questions). In this case, you can use as a feature the bag-of-word representations and even include the named entities. An example of how to do text classification in spacy is available here: https://www.dataquest.io/blog/tutorial-text-classification-in-python-using-spacy/

            Source https://stackoverflow.com/questions/59285376

            QUESTION

            How to fix Plugin Dependency error in Java
            Asked 2019-Dec-09 at 21:25

            I am new to java I am getting this error when maven compile Java code

            [ERROR] Some problems were encountered while processing the POMs: 'build.plugins.plugin[org.codehaus.mojo:exec-maven-plugin].dependencies.dependency.version' for gov.nih.nlm.nls.lvg:lvgdist:jar is missing. @ line 174, column 20

            I checked this library it exists

            I checked the pom.xml for this subproject

            looks ok to me

            ...

            ANSWER

            Answered 2019-Dec-09 at 21:25

            As Strelok mentioned

            the are missing ... tag

            it worked after adding this tag

            Source https://stackoverflow.com/questions/59242640

            QUESTION

            Thingsboard Windows Installation Error
            Asked 2019-Dec-04 at 13:24

            When i run the install.bat file on a windows 7 machine. i receive the following error:

            Detecting Java version installed. Detecting if it is 64 bit machine CurrentVersion Detecting if it is 32 bit machine CurrentVersion 1.8 Java 1.8 found! Installing thingsboard ... Error: Could not find or load main class Files\thingsboard\lib\thingsboard.jar ThingsBoard installation failed!

            I assumed it was reading the BASE file directory incorrectly. So I it to the absolute directory location as shown below:

            ...

            ANSWER

            Answered 2018-Jun-24 at 16:29

            The quotes seem to be a problem.

            C:\ Program Files\thingsboard\conf\"C:\Program Files\thingsboard"\logs\install.log java.io.FileNotFoundException: "C:\Program Files\thingsboard"\logs\install.log

            Have you tried to use SET BASE=%ProgramFiles%\thingsboard or escape the space in the path with a ^ SET BASE=C:\Program^ Files\thingsboard?

            edit:

            The problem is because of the space in the install dir.

            I have tried to install it in "c:\test folder" and got the same problem. There was no problem when installing in a folder without space like "c:\test"

            I changed the following part in the install.bat file and was able to install it in the folder with a space.

            Source https://stackoverflow.com/questions/51009714

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

            Vulnerabilities

            No vulnerabilities reported

            Install NERs

            You can download it from GitHub.
            You can use NERs like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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