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Tag Recommendation by Word-Level Tag Sequence Modeling
- Publication Year :
- 2019
-
Abstract
- In this paper, we transform tag recommendation into a word-based text generation problem and introduce a sequence-to-sequence model. The model inherits the advantages of LSTM-based encoder for sequential modeling and attention-based decoder with local positional encodings for learning relations globally. Experimental results on Zhihu datasets illustrate the proposed model outperforms other state-of-the-art text classification based methods.<br />This is a full length version of the paper in DASFAA 2019
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....aad87f8d4bf3dacc56f91257e9946dc8