takahe | takahe is a multi-sentence compression module | Natural Language Processing library
kandi X-RAY | takahe Summary
kandi X-RAY | takahe Summary
takahe is a multi-sentence compression module. Given a set of redundant sentences, a word-graph is constructed by iteratively adding sentences to it. The best compression is obtained by finding the shortest path in the word graph. The original algorithm was published and described in:.
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Top functions reviewed by kandi - BETA
- Build the graph
- Computes the edge weight between two nodes
- Returns the context of a directed graph
- Return the index of a list
- Return the number of ambiguous nodes
- Builds a tree graph
- Extract the word and position from a word
- Generate keyphrase candidates
- Determine if a key phrase matches a syntactic pattern
- Return the fusion graph
- Find the k shortest shortest paths between start and end nodes
takahe Key Features
takahe Examples and Code Snippets
Community Discussions
Trending Discussions on takahe
QUESTION
I am working on a JavaScript/HTML based quiz in my free time, however I have ran into an issue: It goes up to question 2 then it doesn't show the next question, I have checked the console for any errors but there are none to be seen.
I apologise that it is not the most complex code, I am still learning JS. If anybody could point me to where I went wrong it would be great!
...ANSWER
Answered 2021-May-27 at 20:52You never update the value of your question
variable. That keeps your state.
In your answerquestion
method you can have:
QUESTION
I have a function which has the following call signature:
...ANSWER
Answered 2020-Sep-04 at 03:29Thanks to the advice of @hpaulj - the simplest solution appears to be to put pbar in the global scope and use it from there, viz
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Install takahe
You can use takahe 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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