NERs | Some basic NER algorithms implemented by PyTorch | Natural Language Processing library
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Some basic NER algorithms implemented by PyTorch.
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Trending Discussions on NERs
QUESTION
I'm trying to start deeppavlov model training on GoogleColab:
...ANSWER
Answered 2021-Feb-20 at 12:40Please make sure that you've installed all the model requirements by running
QUESTION
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 18:00You need to change the following line in the for
loop
QUESTION
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 09:00Get Top 5 Trainer, it mean $trainers
get filter top(5) and order by sessions?
QUESTION
Here is my data.
...ANSWER
Answered 2020-Aug-28 at 16:58Are 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"
QUESTION
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 04:27The 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
QUESTION
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 16:36So 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:
QUESTION
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 14:25After some time, I found a solution for my problem, the problem was on REST API URLs.
QUESTION
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 12:08One 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/
QUESTION
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 21:25As Strelok mentioned
the are missing ... tag
it worked after adding this tag
QUESTION
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 16:29The 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
?
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.
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Vulnerabilities
No vulnerabilities reported
Install NERs
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.
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