RecQR: Using Recommendation Systems for Query Reformulation to correct unseen errors in spoken dialog systems - researchr publication authors

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Manik Bhandari, Mingxian Wang, Oleg Poliannikov, Kanna Shimizu. RecQR: Using Recommendation Systems for Query Reformulation to correct unseen errors in spoken dialog systems. In Jie Zhang 0002, Li Chen 0009, Shlomo Berkovsky, Min Zhang 0006, Tommaso Di Noia, Justin Basilico, Luiz Pizzato, Yang Song, editors, Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023. pages 1019-1022, ACM, 2023. [doi]

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