conference-paper
Open access
SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity
Research footprint
At a glance
- Citations
- 5
- References
- 10
- Comments
- 0
Paper overview
Abstract
We describe a method of calculating the similarity between questions in community QA. Questions in cQA are usually very long and there are a lot of useless information about calculating the similarity between questions. Therefore, we implement a CNN model based on similar and dissimilar information on questions keywords. We extract the keywords of questions, and then model the similar and dissimilar information between the keywords, and use the CNN model to calculate the similarity.
Record transparency
Publication details
- DOI
- 10.18653/v1/s17-2049
- OpenAlex
- W2751650276
- Document type
- conference-paper
- Language
- EN
- Last metadata update
Comments
Log in to join the discussion.