Abstract
The infusion of external knowledge bases into IR models can provide enhanced ranking results and greater interpretability, offering substantial advancements in the field. The first workshop on Knowledge-Enhanced Information Retrieval (KEIR @ ECIR 2024) will serve as a platform to bring together researchers from academia and industry to explore and discuss various aspects of knowledge-enhanced information retrieval systems, such as models, techniques, data collection and evaluation. The workshop aims to not only deliberate upon the advantages and hurdles intrinsic to the development of knowledge-enhanced pretrained language models, IR models and recommendation models but also to facilitate in-depth discussions concerning the same.
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References
Aronson, A.R., Rindflesch, T.C., Browne, A.C.: Exploiting a large thesaurus for information retrieval. In: RIAO, vol. 94, pp. 197–216 (1994)
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of SIGMOD, pp. 1247–1250 (2008)
Bubeck, S., et al.: Sparks of artificial general intelligence: early experiments with GPT-4. arXiv preprint arXiv:2303.12712 (2023)
Bulathwela, S., Pérez-Ortiz, M., Yilmaz, E., Shawe-Taylor, J.: Leveraging semantic knowledge graphs in educational recommenders to address the cold-start problem. In: Semantic AI in Knowledge Graphs, pp. 1–20 (2023)
Chandradevan, R., Yang, E., Yarmohammadi, M., Agichtein, E.: Learning to enrich query representation with pseudo-relevance feedback for cross-lingual retrieval. In: SIGIR, pp. 1790–1795 (2022)
Das, R., et al.: Knowledge base question answering by case-based reasoning over subgraphs. In: Proceedings of ICML, pp. 4777–4793 (2022)
Frisoni, G., Mizutani, M., Moro, G., Valgimigli, L.: BioReader: a retrieval-enhanced text-to-text transformer for biomedical literature. In: Proceedings of EMNLP, pp. 5770–5793 (2022)
Lehmann, J., et al.: DBpedia-a large-scale, multilingual knowledge base extracted from Wikipedia. Semant. Web 6(2), 167–195 (2015)
Luo, M., Mitra, A., Gokhale, T., Baral, C.: Improving biomedical information retrieval with neural retrievers. In: Proceedings of AAAI, vol. 36, pp. 11038–11046 (2022)
Meng, Z., Liu, F., Clark, T., Shareghi, E., Collier, N.: Mixture-of-partitions: infusing large biomedical knowledge graphs into BERT. In: Proceedings of EMNLP, pp. 4672–4681 (2021)
Rindflesch, T.C., Aronson, A.R.: Semantic processing in information retrieval. In: Proceedings of SCAMC, p. 611 (1993)
Vrandečić, D., Krötzsch, M.: Wikidata: a free collaborative knowledgebase. Commun. ACM 57(10), 78–85 (2014)
Wang, H., et al.: Knowledge-adaptive contrastive learning for recommendation. In: Proceedings of WSDM, pp. 535–543 (2023)
Wang, X., He, X., Cao, Y., Liu, M., Chua, T.S.: KGAT: knowledge graph attention network for recommendation. In: Proceedings of SIGKDD, pp. 950–958 (2019)
Zhang, X., et al.: Variational reasoning over incomplete knowledge graphs for conversational recommendation. In: Proceedings of WSDM, pp. 231–239 (2023)
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Meng, Z., Liang, S., Xin, X., Moro, G., Kanoulas, E., Yilmaz, E. (2024). KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. In: Goharian, N., et al. Advances in Information Retrieval. ECIR 2024. Lecture Notes in Computer Science, vol 14612. Springer, Cham. https://doi.org/10.1007/978-3-031-56069-9_53
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