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Results: 22
Number of items: 22
  • Open Access
    Provatorova, V., Bhargav, S., Vakulenko, S., & Kanoulas, E. (2021). Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing. In M.-C. Moens, X. Huang, L. Specia, & S. W. Yih (Eds.), 2021 Conference on Empirical Methods in Natural Language Processing: EMNLP 2021 : proceedings of the conference : November 7-11, 2021 (pp. 10501-10510). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.emnlp-main.820
  • Open Access
    Rossi, J., Vakulenko, S., & Kanoulas, E. (2021). VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law. In CIKM '21: proceedings of the 30th ACM International Conference on Information & Knowledge Management : November 1-5, 2021, virtual event, Australia (pp. 4554-4563). The Association for Computing Machinery. https://doi.org/10.1145/3459637.3482021
  • Open Access
    Vakulenko, S., Longpre, S., Tu, Z., & Anantha, R. (2021). Question Rewriting in Conversational Question Answering. In WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining : March 8-12, 2021, virtual event, Israel (pp. 355-363). Association for Computing Machinery. https://doi.org/10.1145/3437963.3441748
  • Open Access
    Sidiropoulos, G., Voskarides, N., Vakulenko, S., & Kanoulas, E. (2021). Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering. In Proceedings of SustaiNLP: 2nd Workshop on Simple and Efficient Natural Language Processing (SustaiNLP) : SustaiNLP 2021 (pp. 58–63). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.sustainlp-1.7
  • Open Access
    Vakulenko, S., Kanoulas, E., & de Rijke, M. (2021). A Large-Scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search. ACM Transactions on Information Systems, 39(4), Article 49. https://doi.org/10.1145/3466796
  • Vakulenko, S. (2020, December 11). Dialogue fingerprints [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.13356350.v2
  • Open Access
    Vakulenko, S., Savenko, V., & de Rijke, M. (2020). Conversational Browsing. (v1 ed.) ArXiv. https://arxiv.org/abs/2012.03704
  • Open Access
    Vakulenko, S., Kanoulas, E., & de Rijke, M. (2020). An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues. 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. 2085-2088). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401297
  • Vakulenko, S., Revoredo, K., Di Ciccio, C., & de Rijke, M. (2019). QRFA: A Data-driven Model of Information-Seeking Dialogues. In L. Azzopardi, B. Stein, N. Fuhr, P. Mayr, C. Hauff, & D. Hiemstra (Eds.), Advances in Information Retrieval: 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019 : proceedings (Vol. 1, pp. 541-557). (Lecture Notes in Computer Science; Vol. 11437). Springer. https://doi.org/10.1007/978-3-030-15712-8_35
  • Open Access
    Vakulenko, S., Fernandez Garcia, J. D., Polleres, A., de Rijke, M., & Cochez, M. (2019). Message Passing for Complex Question Answering over Knowledge Graphs. In CIKM'19: Proceedings of the 28th ACM International Conference on Information & Knowledge Management : November 3-7, 2019, Beijing, China (pp. 1431-1440). Association for Computing Machinery. https://doi.org/10.48550/arXiv.1908.06917, https://doi.org/10.1145/3357384.3358026
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