Ents | Controller patterns with new concepts | Game Engine library
kandi X-RAY | Ents Summary
kandi X-RAY | Ents Summary
A hybrid of the Entity-Component-System and Model-View-Controller patterns with new concepts developed specifically for games. Ents is easy to integrate into your game, is developed to be decoupled from a graphics library, and is very memory conscious compared to similar frameworks.
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Top functions reviewed by kandi - BETA
- Main entry point
- Run keyboard
- Returns the next valid entity
- Starts rendering
- Handle an arteoid collision
- Returns this vector
- Creates a new Asteriskoid
- Handles a bubble collision
- Computes this vector by s value
- Creates a new physics control
- Starts the animation
- Compares this vector with another
- Returns a string representation of the component
- Draws an entity
- Draws the layer
- Creates aster
- Clears the system
- Clones this layer
- Creates a new Renderer
- Begin drawing
- Starts the drawing
- Starts a line
- Starts drawing
- Update emitter and position
- Draws an entity
- Main method that starts a JFrame
Ents Key Features
Ents Examples and Code Snippets
Community Discussions
Trending Discussions on Ents
QUESTION
I am working on extracting entities from scientific text (I am using scispacy) and later I will want to extract relations using hand-written rules. I have extracted entities and their character span successfully, and I can also get the pos and dependency tags for tokens and noun chunks. So I am comfortable with the two tasks separately, but I want to bring the two together and I have been stuck for a while.
The idea is that I want to be able to write rules such as: (just an example) if in a sentence/clause there are two entities where the first one is a 'DRUG/CHEMICAL' + is the subject, and the second one is a 'DISEASE' + is an object --> (then) infer 'treatment' relation between the two.
If anyone has any hints on how to approach this task, I would really appreciate it. Thank you!
S.
What I am doing to extract entities:
doc = nlp(text-with-more-than-one-sent)
for ent in doc.ents:
ANSWER
Answered 2022-Apr-04 at 05:21You can use the merge_entities
mini-component to convert entities to single tokens, which would simplify what you're trying to do. There's also a component to merge noun chunks similarly.
QUESTION
The example code is given below, you may add one or more entities in this example for training purposes (You may also use a blank model with small examples for demonstration). I am seeking a complete working solution for custom NER model evaluation (precision, recall, f-score), Thanks in advance to all NLP experts.
...ANSWER
Answered 2022-Mar-24 at 04:34I will give a brief example :
QUESTION
I am dealing with fairly big corpuses and my DocBin object gets killed when I try to save it. Both to_disk and to_bytes are printing "Killed".
I am with limited python knowledge, so it isn't obvious to me right away how I can work around the issue. Can you help?
Here is my code(very straight forward and basic):
...ANSWER
Answered 2022-Mar-21 at 15:34You are probably running out of RAM. Instead, save your annotation in multiple DocBin
files. You can provide a directory to --paths.train
with spacy train
instead of a single .spacy
file if you have multiple .spacy
files.
QUESTION
I am doing a very simple task where I need to extract dollar amounts in a string. I tried Spacy but it only recognize USD 1000 NOT CAD1000. I tried adding a special case
...ANSWER
Answered 2022-Mar-19 at 17:44You can use spacy.matcher.Matcher
:
QUESTION
Is it possible to use JpaRepository
without entity? In this case, replacing it with a DTO.
as follows the example
...ANSWER
Answered 2022-Feb-18 at 20:51You can use Projections based on interfaces.
e.g
Create your native-query givin it column a alias.
select name as fullName, age as age from person
.Create a Interface that represents your DTO with get-methods to every alias of your native query.
QUESTION
Quick question (hopefully). Is it possible for me to get the named entities of the tokens except for the ones with CARDINAL label (The label is 397). Here is my code below:
...ANSWER
Answered 2022-Mar-13 at 21:44You can filter out the entities using list comprehension:
QUESTION
I am working with spacy package v3.2.1 in Python 3.9 and wanted to understand how I can use it to remove names from a data frame. I tried following the spacy documentation and I am able to identity names correctly, but not understanding how I can remove them. My goal is to remove all names from a specific column of the data frame.
Actual
ID Comment A123 I am five years old, and my name is John X907 Today I met with Dr. JacobWhat I am trying to accomplish
ID Comment A123 I am five years old, and my name is X907 Today I met with Dr.Code:
...ANSWER
Answered 2022-Mar-04 at 03:04Here's an idea using the string replace
method:
EDIT: Stripping parens off to see if that helps.
QUESTION
Can anyone please help me understand why Spacy NER refuses to recognize the last NAME 'Hagrid' in the sentence, no matter the model used (sm, md, lg)?:
"Hermione bought a car, then both Hermione and Hagrid raced it on the track. Tom Brady was very happy with Hagrid this year."
...ANSWER
Answered 2022-Mar-03 at 21:37Well, Neural Network Models are basically a black box, so there is no way to know this for sure.
I could imagine that the grammar in last sentence is a bit too "fancy"/literature-like if the model was trained on news or web data and might be throwing the model off. This difficulty of seeing the sentence context as something that would be followed up by a name as well as the fact that "Hagrid" is a kind of unusual name could be the reason.
You can try some other models such as the one integrated in Flair:
or this fine-tuned BERT model:
They are more powerful and get it right, from my experience SpaCy is a nice tool and quite fast, but not the most precise for NER.
QUESTION
I have a collection of social media comments that I want to explore based on their reference to dates. For this purpose, I am using SpaCy's Named Entity Recognizer to search for DATE
entities. I have the comments in a pandas dataframe called df_test
under the column comment
. I would like to add a new column dates
to this dataframe consisting of all the date entities found in each comment. Some comments are not going to have any date entities in which case None
should be added here instead.
So for example:
ANSWER
Answered 2022-Mar-03 at 14:54I managed to find a solution to my own problem by using this function.
QUESTION
I just started to explore spaCy and need it only for GPE (Global political entities) of the name entity recognition (NER) component.
So, to save time on loading I keep only 'ner':
...ANSWER
Answered 2022-Mar-01 at 04:03It isn't possible to do this. The NER model is classifying each token/span between all the labels it knows about, and the knowledge is not separable.
Additionally, the NER component requires a tok2vec. Depending on the pipeline architecture you may be able to disable the top-level tok2vec. (EDIT: I incorrectly stated the top-level tok2vec was required for the small English model; it is not. See here for details.)
It may be possible to train a smaller model that only recognizes GPEs with similar accuracy, but I wouldn't be too optimistic about it. It also wouldn't be faster.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install Ents
You can use Ents like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Ents component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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