Followed instructions from https://dev.grakn.ai/docs/general/quickstart and immediatly reached these errors :

grakn-core-all-windows-1.7.1>grakn.bat console --keyspace social_network --file ./schema.gql

22:08:17,078 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Could NOT find resource [logback-test.xml]
22:08:17,078 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Could

I wanted to use pytextrank together with spacy_udpipe to get keywords from texts in other languages (see https://stackoverflow.com/questions/59824405/spacy-udpipe-with-pytextrank-to-extract-keywords-from-non-english-text) but I realized, that udpipe-spacy somehow "overrides" the original spacy's pipeline so the noun_chunks are not generated (btw: the noun_chunks are created in lang/en/syntax_itera

您好，很高兴看到您的项目，我使用您的方法把数据导入neo4j数据库

但是我访问 localhost:7474,并没有看到知识图谱，这是怎么回事呢?

请您多指教一下，谢谢!

Self-explanatory.

I'm reading your paper and have a question about section 3.2. Could you explain what are the vertex matrix and context matrix? Are they simply the source and the destination of edges?

Hello Felix,

apologies if i am not following proper rules - this is the second time I use GitHub and my second post.
I try to use TiddlyMap and FontAwesome in the newest versions and for some reason the icons are not working in the map. Here is what I did:

1. Downloaded the current TiddlyWiki from here: https://tiddlywiki.com/
2. dragged the plugin from here http://thediveo.github.io/T

一句话总结：

针对abstractive text summarization task的seq2seq模型有两个缺点：重现的细节不准确，经常重复自己。

这篇文章我们提出一个框架来增强seq2seq, in two orthogonal ways。首先提出一个a hybrid pointer-generator network将source text里的word准确pointing到结果中去，并能通过generator保持产生novel words的能力。第二点，使用coverage来减少repitiion的情况。

资源：

• pdf
• code
• [pape

The AtomTable uses a mutex to guard access to the TypeIndex. This mutex could be mostly avoided by using a concurrent hash map. The one described here: https://preshing.com/20160201/new-concurrent-hash-maps-for-cpp/ seems like a good choice. implementing this requires

• Copying the concurrent hash map source to cog-utils
• Modifying TypeIndex to use it.
• Removing the mutex lock in `AtomT

_____________________ ERROR collecting test_krl_transe.py _____________________
test_krl_transe.py:26: in
krl.train(train_path, model_type=model_type, dev_path=train_path, save_path='./krl_{}_saves'.format(model_type))
..........\Anaconda3\envs\python367\lib\site-packages\lightkg\krl\module.py:29: in train
train_dataset = rl_tool.get_dataset(train_path)
..........\Ana

Instead of:

{
  Get {
    Things {
      Article {
        title
        url
        wordCount
        HasAuthors {
          ... on Author {
            name
          }
          ... on Publication {
            name
          }
        }
      }
    }
  }
}

Use

{
  Get {
    Things {
      Article {
        title
        url
        

To help users unfamiliar with SMW to find features and supplementary functions which are normally not enabled by default, I created [0] as starting point.

I would appreciate if some people from the community find the time to finalize and complete the list.

Tasks

• Identify features and supplementary functions
  • SMWSearch
• Add separate summary sections to the smw@wiki