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Robustness Evaluation of Entity Disambiguation Using Prior Probes: the Case of Entity Overshadowing ...
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Ranking Clarifying Questions Based on Predicted User Engagement ...
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Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering ...
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Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering ...
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Knowledge Graph Simple Question Answering for Unseen Domains ...
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Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search ...
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Abstract:
Recent research on conversational search highlights the importance of mixed-initiative in conversations. To enable mixed-initiative, the system should be able to ask clarifying questions to the user. However, the ability of the underlying ranking models (which support conversational search) to account for these clarifying questions and answers has not been analysed when ranking documents, at large. To this end, we analyse the performance of a lexical ranking model on a conversational search dataset with clarifying questions. We investigate, both quantitatively and qualitatively, how different aspects of clarifying questions and user answers affect the quality of ranking. We argue that there needs to be some fine-grained treatment of the entire conversational round of clarification, based on the explicit feedback which is present in such mixed-initiative settings. Informed by our findings, we introduce a simple heuristic-based lexical baseline, that significantly outperforms the existing naive baselines. Our ... : Proceedings of the 2020 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR '20), September 14-17, 2020 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Human-Computer Interaction cs.HC; Information Retrieval cs.IR
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URL: https://dx.doi.org/10.48550/arxiv.2008.03717 https://arxiv.org/abs/2008.03717
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Overview of the CLEF eHealth Evaluation Lab 2019
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In: CLEF 2019: Experimental IR Meets Multilinguality, Multimodality, and Interaction pp 322-339 ; https://hal.archives-ouvertes.fr/hal-03156710 ; CLEF 2019: Experimental IR Meets Multilinguality, Multimodality, and Interaction pp 322-339, pp.322-339, 2019, ⟨10.1007/978-3-030-28577-7_26⟩ (2019)
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Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions ...
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Neural Vector Spaces for Unsupervised Information Retrieval ...
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