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Two-layered Summaries for Mobile Search: Does the Evaluation Measure Reflect User Preferences?

, , , , and . EVIA@NTCIR, National Institute of Informatics (NII), (2016)

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Revealing the Basis: Ordinal Embedding Through Geometry., , and . CoRR, (2018)TREC 2013 Temporal Summarization., , , , and . TREC, volume 500-302 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2013)Aggregation of Crowdsourced Ordinal Assessments and Integration with Learning to Rank: A Latent Trait Model., , and . CIKM, page 1391-1400. ACM, (2015)Measuring Human-perceived Similarity in Heterogeneous Collections., , , and . CoRR, (2018)Improving Query Graph Generation for Complex Question Answering over Knowledge Base., , , and . EMNLP (1), page 4201-4207. Association for Computational Linguistics, (2021)A Pipeline for Optimizing F1-Measure in Multi-label Text Classification., , , and . ICMLA, page 913-918. IEEE, (2018)Learning to Calibrate and Rerank Multi-label Predictions., , , , and . ECML/PKDD (3), volume 11908 of Lecture Notes in Computer Science, page 220-236. Springer, (2019)A Complex KBQA System using Multiple Reasoning Paths., , , , , , and . CoRR, (2020)Northeastern University Runs at the TREC13 Crowdsourcing Track., , , and . TREC, volume 500-302 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2013)Learning to Calibrate and Rerank Multi-label Predictions, , , , and . (2019)