2nd Workshop on Augmented Intelligence in Technology-Assisted Review Systems (ALTARS)
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Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-28241-6_41
Reference9 articles.
1. Bhattacharya, P., et al.: FIRE 2020 AILA track: Artificial intelligence for legal assistance. In: Majumder, P., Mitra, M., Gangopadhyay, S., Mehta, P. (eds.) FIRE 2020: Forum for Information Retrieval Evaluation, Hyderabad, India, 16-20 December 2020, pp. 1–3. ACM (2020). https://doi.org/10.1145/3441501.3441510
2. Clipa, T., Di Nunzio, G.M.: A study on ranking fusion approaches for the retrieval of medical publications. Inf. 11(2), 103 (2020). https://doi.org/10.3390/info11020103
3. Di Nunzio, G.M., Faggioli, G.: A study of a gain based approach for query aspects in recall oriented tasks. Appli. Sci. 11(19) (2021). https://doi.org/10.3390/app11199075, https://www.mdpi.com/2076-3417/11/19/9075
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5. Di Nunzio, G.M., Vezzani, F.: Did I miss anything? A study on ranking fusion and manual query rewriting in consumer health search. In: Barrón-Cedeño, A., et al., (eds.) CLEF 2022. LNCS, vol. 13390, pp. 217–229. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-13643-6_17
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1. Third Workshop on Augmented Intelligence in Technology-Assisted Review Systems (ALTARS);Lecture Notes in Computer Science;2024
2. Report on the 45th European Conference on Information Retrieval (ECIR 2023);ACM SIGIR Forum;2023-06
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