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Fischer, S. , Gemmell, C., Mackie, I. and Dalton, J. (2022) VILT: Video Instructions Linking for Complex Tasks. In: 2nd International Workshop on Interactive Multimedia Retrieval (IMuR’22), 14th October 2022, Lisbon, Portugal, pp. 41-47. ISBN 9781450394970 (doi: 10.1145/3552467.3554794)

Tun, Z. Y., Speggiorin, A., Dalton, J. and Stamper, M. (2022) COMEX: A Multi-task Benchmark for Knowledge-grounded COnversational Media EXploration. In: Conversational User Interfaces (CUI 2022), Glasgow, UK, 26-28 July 2022, p. 11. ISBN 9781450397391 (doi: 10.1145/3543829.3543830)

Mackie, I., Owoicho, P., Gemmell, C., Fischer, S. , MacAvaney, S. and Dalton, J. (2022) CODEC: Complex Document and Entity Collection. In: SIGIR 2022: 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11-15 Jul 2022, pp. 3067-3077. ISBN 9781450387323 (doi: 10.1145/3477495.3531712)

Speggiorin, A., Dalton, J. and Leuski, A. (2022) TaskMAD: a Platform for Multimodal Task-Centric Knowledge-Grounded Conversational Experimentation. In: SIGIR 2022: 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11-15 Jul 2022, pp. 3240-3244. ISBN 9781450387323 (doi: 10.1145/3477495.3531679)

Gemmell, C., Mackie, I., Owoicho, P. O. and Rossetto, F. (2022) GRILLBot: An Assistant for Real-World Tasks with Neural Semantic Parsing and Graph-Based Representations. In: 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2022), Edinburgh, UK, 7-9 Sept 2022, (Accepted for Publication)

Naseri, S., Dalton, J. , Yates, A. and Allan, J. (2022) CEQE to SQET: a study of contextualized embeddings for query expansion. Information Retrieval, 25(2), pp. 184-208. (doi: 10.1007/s10791-022-09405-y)

Manotumruksa, J., Dalton, J. , Meij, E. and Yilmaz, E. (2022) Similarity-based Multi-Domain Dialogue State Tracking with Copy Mechanisms for Task-based Virtual Personal Assistants. In: ACM Web Conference 2022, Lyon, France, 25-29 April 2022, pp. 2006-2014. ISBN 9781450390965 (doi: 10.1145/3485447.3512074)

Mackie, I., Dalton, J. and Yates, A. (2021) How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset. In: SIGIR 2021: 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 11-15 July 2021, pp. 2335-2341. (doi: 10.1145/3404835.3463262)

This list was generated on Sun Feb 5 04:53:22 2023 GMT.