Search results
Results: 134
Number of items: 134
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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 -
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 -
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 -
Li, D., Ren, Z., & Kanoulas, E. (2021). CrowdGP: A Gaussian process model for inferring relevance from crowd annotations. In The Web Conference 2021: proceedings of the World Wide Web Conference WWW 2021 : April 19-23, 2021, Ljubljana, Slovenia (pp. 1821-1832). Association for Computing Machinery. https://doi.org/10.1145/3442381.3450047 -
Aliannejadi, M., Azzopardi, L., Zamani, H., Kanoulas, E., Thomas, P., & Craswell, N. (2021). Analysing Mixed Initiatives and Search Strategies during Conversational Search. In CIKM '21: proceedings of the 30th ACM International Conference on Information & Knowledge Management : November 1-5, 2021, virtual event, Australia (pp. 16-26). The Association for Computing Machinery. https://doi.org/10.1145/3459637.3482231 -
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 -
Bhargav, S., & Kanoulas, E. (2021). Controllable Recommenders using Deep Generative Models and Disentanglement. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2110.05056 -
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 -
Bonab, H., Aliannejadi, M., Vardasbi, A., Kanoulas, E., & Allan, J. (2021). Cross-Market Product Recommendation. In CIKM '21: proceedings of the 30th ACM International Conference on Information & Knowledge Management : November 1-5, 2021, virtual event, Australia (pp. 110-119). The Association for Computing Machinery. https://doi.org/10.1145/3459637.3482493
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