ccm | This project is a tensorflow implement of our work , CCM | Graph Database library
kandi X-RAY | ccm Summary
kandi X-RAY | ccm Summary
Commonsense knowledge is vital to many natural language processing tasks. In this paper, we present a novel open-domain conversation generation model to demonstrate how large-scale commonsense knowledge can facilitate language understanding and generation. Given a user post, the model retrieves relevant knowledge graphs from a knowledge base and then encodes the graphs with a static graph attention mechanism, which augments the semantic information of the post and thus supports better understanding of the post. Then, during word generation, the model attentively reads the retrieved knowledge graphs and the knowledge triples within each graph to facilitate better generation through a dynamic graph attention mechanism, as shown in Figure 1. This project is a tensorflow implement of our work, CCM.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Prepare attention
- Create a function for attention_fn
- Creates a construct function for attention
- Calculate the value of a function
- Calculate the sum of a query
- Test the model
- Generate batched data
- Get the number of steps in train_dir
- Evaluate the model
- Runs the step decoder
- Build word vocabulary
- Load data from resource
- Generate summary summary
- Train the model
- Print the parameters
ccm Key Features
ccm Examples and Code Snippets
Community Discussions
Trending Discussions on ccm
QUESTION
I have a requirement to select the first X rows for each unique agent ID. My method below works, but it runs into performance issues when the spreadsheet has over about 5k results to consider. I am hopeful that you very smart people can help me optimise the approach to require less processing.
I am using ImportExcel to import the spreadsheet of call records, then I filter out uninteresting rows and I'm left with $UsableCalls as my pool of calls to be evaluated. Sometimes, this pool has only 2k rows. Sometimes it has 16k. It's possible that it might have even more. Unfortunately, it seems like the max this method can support is around 5k-ish results. Anything over that and the process hangs. So if I have 5k rows, then I can really only handle getting the first 1 call per agent. If I have 2k, then I can get the first 2 calls per agent. The number of calls per agent is selectable, and I'd like to have the option to get up to the first 5 calls per agent, but that simply won't work with the way it processes right now.
Ultimately, the goal is to select the first X# calls (rows) for each agent. I then export that as a second spreadsheet. This is the only method I could come up with, but I am certainly open to suggestion.
Here is what I have, how can I improve it?
...ANSWER
Answered 2022-Mar-16 at 15:24The first thing to improve the speed is to not use += to add stuff to an array.
By doing so, on each addition, the entire array needs to be rebuilt in memory. Better let PowerShell do the collecting of data for you:
QUESTION
I am trying to use the rtcclient Python package to authenticate and retrieve work items from my IBM RTC board. Specifically my goal is to run this command without errors:
...ANSWER
Answered 2022-Feb-23 at 07:28Check first if this was working with 0.6.0 (depending on your RTC version 6.x?; 7.x).
dixudx/rtcclient issue 136 mentions:
v0.7.0 has introduced a change on authentication, refer to #133 for details (and issue 112), which may be not compatible with older Rational Team Concert. From your issue, it seems to be true. Sorry for this.
My suggestion is just sticking with older rtcclient version, such as
pip install rtcclient==0.6.0.
QUESTION
While developing contextmenu based extension for Chrome, i'm facing a situation where invoking chrome.contextMenus.onClicked.addListener in a loop adds action cumulatively for each subcontext menu item.
So, when subcontextmenu is clicked it triggers event listener for all subcontext menus, instead for the context menu which was clicked.
...ANSWER
Answered 2022-Feb-20 at 18:04Use one listener for onInstalled and onClicked (it provides menuItemId in its parameter).
QUESTION
I'm trying to retrieve all URLs from a page using Python's Requests library. I can't figure out why my filterer is returning hundreds of items more than I am expecting. Code:
...ANSWER
Answered 2022-Feb-20 at 02:53Generally, you are not permitted to remove elements from a list while iterating through it, which you are doing in your for loop. Instead, try adding the desired elements in another list, or use list compression.
Example of list comprehension:
QUESTION
I need to generate and verify 4 byte MAC from the data which is authenticated only using AES-CCM with 32 bytes of key and a Nonce.
I tried using "CcmBlockCipher(new AesEngine())" object but it expects data to be encrypted or decrypted. However, the data I have got is not encrypted but has plain text data + MAC in it which is only mean to authenticate purpose using AES-CCM.
How to use BouncyCastle C# library in order to just generate MAC on plain text data using AES-CCM and verify the same from the received MAC?
...ANSWER
Answered 2022-Jan-16 at 03:18This type of data is commonly called "additional authenticated data" (AAD). It will be included in the calculation of the authentication tag, but not encrypted (resp. decrypted).
You can use the ProcessAadBytes (also ProcessAadByte) method to provide this type of input to CcmBlockCipher. Note that there is no output buffer for these methods because the cipher doesn't consider AAD part of its "stream".
So in your case, for "encryption", with no actual data to encrypt, you just add all the plaintext using ProcessAadBytes and then call DoFinal to get the output, which will consist only of the authentication tag. If you need to send the plaintext also, you have to arrange that yourself.
Similarly for decryption, CcmBlockCipher does not consider the AAD as part of its usual input; it should be added using ProcessAadBytes, followed by a DoFinal that consists of just the tag in your case.
QUESTION
I try to persist messages from activeMQ messaging in a postgres databases. This first step was easy. I added this CLI
...ANSWER
Answered 2022-Jan-03 at 17:27I don't believe WildFly supports a suffix or prefix for the JDBC table names so you'll need to manually set the table names for the journal configuration. Here's the list of attributes:
messages-tablebindings-tablejms-bindings-tablelarge-messages-tablenode-manager-store-tablepage-store-table
These will need to be unique for each server.
QUESTION
I`m porting some crypto code from Python to NodeJS. I have Python example that works perfectly:
...ANSWER
Answered 2021-Dec-22 at 05:53This answer DANGEROUS, you SHOULD check authTag, but if you need to skip this check, jscrypto (https://github.com/Hinaser/jscrypto) helps to do this.
QUESTION
First, I want to mention that I am very new to WebRTC, so any advice would be very helpful.
Currently I am using aiortc library to build my own WebRTC app.
Here is what I am trying to do.
I have 2 peers, one is web browser, which is written in javascript, and another one is python script, which is working as signaling server and peer at the same time. So If you access to my web page, you will send video frame to server and then the server will make modification of that then send it back.
So I finished testing my app on LAN environment and everything worked as I expected. But once I deployed my app to remote server (Google cloud run) , I encountered Ice connection state failing issue. And gets this log on remote server.
(I think it is due to disconnection between peers, not low memory problem. I tried with 16GB RAM and 4 cpus and still didn't work)
Then, I dig into more information, and found that TURN/STUN server is necessary to build WebRTC app over Internet. So I added google STUN server to my RTCPeerConnection like this. [{'urls': 'stun:stun.l.google.com:19302'}, {'urls': 'stun:stun1.l.google.com:19302'}, {'urls': 'stun:stun2.l.google.com:19302'}] (I added both side on javascript and python because both side is working as peer) Unfortunately, it still didn't work.
Now, I am planning to build my own TURN server, but I am afraid if TURN server wouldn't solve this problem. So I would like to have any advice from you since I am quite stuck within my situation.
p.s I have done SSL encryption.(So GetUserMedia is working fine)
Sdp details(Offer/Answer):
SDP
Offer
...ANSWER
Answered 2021-Dec-10 at 15:13If everything work on local, and this ice server are set, verify that your gcloud server have the correct firewall for webrtc port (not only your signaling port, check the sdp/ice you exchange). also this Webrtc page allow you to check is a stun/turn work on your client
You will not need stun on your python side, as it's a server his ip may be public (unless you don't want to). Stun allow to find your public ip and allow the port to remain open.
On your server you need to open your signaling port (certainly the WS where you exchange the sdp) and the P2P port (candidate lines in the sdp), the media/data will go through this one. For each media (sdp m line) there are usually one used port.
QUESTION
I am currently facing a problem that puzzles me. When i use this command from a machine with RHEL 7 with OpenSSL 1.0.2k:
...ANSWER
Answered 2021-Dec-08 at 14:27Testing DHE-DSS-AES256-GCM-SHA384...YES
It looks like the server supports only DSS ciphers, which is very unusual. As can be seen from the changelog such ciphers were removed from the default cipher list with OpenSSL 1.1.0. This means one explicitly need to enable the cipher, i.e.
QUESTION
As the title says, I have a problem of getting dtmf digits from b-leg. When I call a queue in callcenter, the two legs can be bridged. But It doesn't have any reaction when I press '*7' on my b-leg telephone.
Here is the dialplan:
...ANSWER
Answered 2021-Nov-03 at 03:04I know how to fix it now. It's cause by freeswitch set 2833 dtmf send payload to 105 recv payload to 101, but the telephone still send 105 dtmf payload type to freeswitch. I modified 'rfc2833-pt' in sip_profiles/internal.xml to '105' and it worked for me.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ccm
Dataset Commonsense Conversation Dataset contains one-turn post-response pairs with the corresponding commonsense knowledge graphs. Each pair is associated with some knowledge graphs retrieved from ConceptNet. We have applied some filtering rules to retain high-quality and useful knowledge graphs. Please download the Commonsense Conversation Dataset to data directory.
Train python main.py The model will achieve the expected performance after 20 epochs.
Test python main.py --is_train False You can test the model using this command. The statistical result and the text result will be output to the 'test.res' file and the 'test.log' file respectively.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
