Personalized Citation Recommendation Using an Ensemble Model of DSSM and Bibliographic Information

Author:

Alkhatib Wael,Rensing Christoph

Publisher

Springer International Publishing

Reference33 articles.

1. Alkhatib, W., Herrmann, L. A., & Rensing, C. (2017). Onto. KOM-towards a minimally supervised ontology learning system based on word embeddings and convolutional neural networks. KEOD, 2, 17–26.

2. Bethard, S., & Jurafsky, D. (2010). Who should I cite: Learning literature search models from citation behavior. In Proceedings of the 19th ACM international conference on information and knowledge management (pp. 609–618). New York: ACM Press.

3. Bird, S., Dale, R., Dorr, B. J., Gibson, B., Joseph, M. T., Kan, M.-Y., et al. (2008). The acl anthology reference corpus: A reference dataset for bibliographic research in computational linguistics. Sixth International Conference on Language Resources and Evaluation, LREC, 2008, 1755–1759.

4. Bojanowski, P., Grave, E., Joulin, A., & Mikolov, T. (2016). Enriching word vectors with subword information. arXiv preprint arXiv, 1607, 04606.

5. Cai, X., Han, J., Li, W., Zhang, R., Pan, S., & Yang, L. (2018). A three-layered mutually reinforced model for personalized citation recommendation. IEEE Transactions on Neural Networks and Learning Systems, 29, 6026–6037.

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