Does keybert pay attention to the syntax
- Dominant language
- Python
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Description
keyBert is a masterpiece, really appreciate for this kind of good work. recently I am looking into keyBert using scenario like different language setting. For example I am using keybert in Chinese. I modify the word segmentation part and used multi linguistic pretrain language model. it did worked, pretty good results. However, I found a problem then. sometimes keybert give u an import word like "car drive"(eg I am using ngrams = 2) but the right syntax is "drive car" . It seems keybert finds the right information but has some problems with syntax? or maybe I am using the keybert in a wrong way
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Research direction
Start by reproducing the reported Chinese example with the modified word segmentation, multilingual pretrained model, and ngrams=2. Read the keyword extraction and ranking entry points to determine how candidate phrase order is handled. Done means establishing whether the returned phrase order is expected and documenting or correcting the behavior based on that finding.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100