anago | Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition | Natural Language Processing library
kandi X-RAY | anago Summary
kandi X-RAY | anago Summary
anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as named entity recognition (NER), part-of-speech tagging (POS tagging), semantic role labeling (SRL) and so on. Unlike traditional sequence labeling solver, anaGo don't need to define any language dependent features. Thus, we can easily use anaGo for any languages.
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Top functions reviewed by kandi - BETA
- Establishes the model
- Builds the vocabulary
- Connects the model
- Add documents
- Filter out embeddings
- Validate text and return response
- Get tags from predicates
- Return the probability of the given pred
- Builds a response from the given text
- Embeds sentences
- Return the identifier for a given token
- Pad sequences of nested sequences
- Convert a document to ID
- Compute the f1 score
- Predict using the model
- Adds a token to the collection
- Download weights file
- Load the model
- Calculate the accuracy of the Viterbi function
- Returns the marginal accuracy function
- Loads a word vector from a file
- Returns the loss function
- Load data and labels from a file
- Calculate f1 score
- Filters out embeddings
- Call the CRF function
- Builds the word embedding
anago Key Features
anago Examples and Code Snippets
Copyright 2016 Keisuke Kobayashi
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Community Discussions
Trending Discussions on anago
QUESTION
I need to search an iOS device calendar for calendar events that contain a given text in the event notes. Apple describes this procedure for a date filter, where the filter conditions are defined in an NSPredicate
instance - as in the following example (from https://developer.apple.com/documentation/eventkit/retrieving_events_and_reminders#overview) and many others I could find.
ANSWER
Answered 2021-Aug-26 at 15:51Event kit's events(matching:)
method only accepts predicates created by event kit methods. If you pass a custom NSPredicate
like.
QUESTION
I am trying to setup a new worker-node on CentOS-7.9 with following commands.
...ANSWER
Answered 2020-Dec-18 at 03:49Node has joined the cluster after commenting the entries from /etc/resolv.conf
file then once node has joined to the cluster successfully again Un-commented
. Now on my master all the namespaces and nodes are running fine.
QUESTION
I am using centos7 and using the below command to the bootstrap Kubernetes control plane in Master node :
...ANSWER
Answered 2020-Nov-25 at 13:11You have a very old Linux kernel released in 2015.
No container will work with it.
Upgrade the kernel, reinstall your docker and kubernetes tools and try again.
QUESTION
I have trained my English model following this notebook (https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/master/tutorials/tutorial-06-sequence-tagging.ipynb). I am able to save my pretrained model and run it with no problem.
However, I need to run it again but OFFLINE and it is not working, I understand that I need to download the file and do something similar to what is done here.
https://github.com/huggingface/transformers/issues/136
However, I am not able to understand where do I need to change the settings of ktrain.
I run this:
...ANSWER
Answered 2020-Jun-03 at 14:01I found a solution when ktrain is run with an internet connection it creates a folder: ''' C:\Users\lemolina.cache\torch\transformers ''' I needed to copy the same folder in the machine that does not have access to the internet
QUESTION
I setup my cluster by kubeadm. At the last step i exec kubeadm init --config kubeadm.conf --v=5
. I get the error about the clusterIp value. Here is the part of the output:
ANSWER
Answered 2020-Feb-21 at 02:18Because this node I joined the cluster as a node beforeBecause this node I joined the cluster as a node before.Later I reset this with "kubeadm reset " command.After the reset, I joined it as a master role to the cluster. So I get the error in my question above. The error is because the range of the clusterip before I reset is already recorded in the etcd cluster. And "kubeadm reset" command does not clean up the data in the etcd.So the new definition of clusterip conflicts with the original.So the solution is to clean up the data in the etcd and reset it again. (Since the cluster I built is a test cluster, I cleaned the etcd directly. Please be careful in the production environment)
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Install anago
To install anaGo, simply use pip:.
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