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Results: 54
Number of items: 54
  • Open Access
    Liu, Z., Ren, P., Chen, Z., Ren, Z., de Rijke, M., & Zhou, M. (2021). Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. In C. Zong, F. Xia, W. Li, & R. Navigli (Eds.), The 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: ACL-IJCNLP 2021 : proceedings of the conference : August 1-6, 2021 (Vol. 1, pp. 5638-5650). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.acl-long.438
  • Open Access
    Ren, P., Chen, Z., Ren, Z., Kanoulas, E., Monz, C., & de Rijke, M. (2021). Conversations with Search Engines: SERP-based Conversational Response Generation. ACM Transactions on Information Systems, 39(4), Article 47. https://doi.org/10.1145/3432726
  • Open Access
    Meng, C., Ren, P., Chen, Z., Sun, W., Ren, Z., Tu, Z., & de Rijke, M. (2020). DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 1151–1160). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401097
  • Open Access
    Zhang, Y., Ren, P., & de Rijke, M. (2020). Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology. (v1 ed.) https://arxiv.org/abs/2008.09706
  • Open Access
    Ma, M., Ren, P., Chen, Z., Ren, Z., Zhao, L., Ma, J., & de Rijke, M. (2020). Mixed Information Flow for Cross-domain Sequential Recommendations. (v3 ed.) ArXiv. https://doi.org/10.48550/arXiv.2012.00485
  • Open Access
    Meng, C., Ren, P., Chen, Z., Monz, C., Ma, J., & de Rijke, M. (2020). RefNet: A Reference-Aware Network for Background Based Conversation. In AAAI-20, IAAI-20, EAAI-20 proceedings: Thirty-Fourth AAAI Conference on Artificial Intelligence, Thirty-Second Conference on Innovative Applications of Artificial Intelligence, The Tenth Symposium on Educational Advances in Artificial Intelligence : February 7–12th, 2020, New York Hilton Midtown, New York, New York, USA (Vol. 5, pp. 8496-8503). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 34). AAAI Press. https://doi.org/10.1609/aaai.v34i05.6370
  • Open Access
    Ren, P., Ren, Z., Sun, F., He, X., Yin, D., & de Rijke, M. (2020). NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. In WSDM '20: proceedings of the 13th International Conference on Web Search and Data Mining : February 3-7, 2020, Houston, TX, USA (pp. 907-908). Association for Computing Machinery. https://doi.org/10.1145/3336191.3371884
  • Open Access
    Wang, S., Ren, P., Chen, Z., Ren, Z., Nie, J.-Y., Ma, J., & de Rijke, M. (2020). Coding Electronic Health Records with Adversarial Reinforcement Path Generation. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 801–810). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401135
  • Open Access
    Steenvoorden, A., Di Gloria, E., Chen, W., Ren, P., & de Rijke, M. (2020). Attribute-aware Diversification for Sequential Recommendations. In AIIS 2020: The SIGIR 2020 Workshop on Applied Interactive Information Systems : held in conjunction with SIGIR'20 July 30, 2020, Xi'an, China Article 1 AIIS Workshop. https://aiis.newidea.fun/papers/AIIS_2020_paper_1.pdf
  • Open Access
    Pei, J., Ren, P., Monz, C., & de Rijke, M. (2020). Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation. In G. De Giacomo, A. Catala, B. Dilkina, M. Milano, S. Barro, A. Bugarín, & J. Lang (Eds.), ECAI 2020: 24th European Conference on Artificial Intelligence : 29 August-8 September 2020, Santiago de Compostela, Spain, including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) : proceedings (pp. 2148-2155). ( Frontiers in Artificial Intelligence and Applications; Vol. 325). IOS Press. https://doi.org/10.3233/FAIA200339
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