LaQuE: Enabling Entity Search at Scale
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-56060-6_18
Reference58 articles.
1. Alexander, D., Kusa, W., de Vries, A.P.: ORCAS-I: queries annotated with intent using weak supervision. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 3057–3066 (2022)
2. Arabzadeh, N., Mitra, B., Bagheri, E.: MS MARCO chameleons: challenging the MS MARCO leaderboard with extremely obstinate queries. In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, pp. 4426–4435 (2021)
3. Arabzadeh, N., Vtyurina, A., Yan, X., Clarke, C.L.: Shallow pooling for sparse labels. Inf. Retrieval J. 25(4), 365–385 (2022)
4. Bagheri, E., Ensan, F., Al-Obeidat, F.: Neural word and entity embeddings for ad hoc retrieval. Inf. Process. Manage. 54(4), 657–673 (2018)
5. Balog, K.: Entity retrieval (2018)
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