ASSERT-KTH / ASSERT-KTH/styler

Token embedding

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#11 1 comment 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
10
Forks
9
PR merge metrics
No merged PRs in 30d

Description

I read your paper "Styler: Learning Formatting Conventions to Repair Checkstyle Errors " and it was really interesting. My problem is that I didn't find which method did you used to embed the tokens (one-hot encoding, word2vec ... ?) in other words which method did you used to transform the Buggy abstract token sequence into a vector in order to feed it to LSTM.

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Research direction

The issue names no file, test, or entry point. Start by locating the token-embedding and LSTM implementation in the repository and compare it with the cited paper; done means documenting the embedding method clearly enough to answer the question.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
18/100

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