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Hiroki Ouchi
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Hiroki Ouchi10 visible / 10 total nodes / 23 links

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onWorks onAuthorshipWorks onAuthorshipWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalHiroki OuchiAHiroki OuchiResearcherATD-Trans: A Geographically Grounded Japanese-English Travelogue Translation DatasetWATD-Trans: A Geographic...preprint / 2026Shohei HigashiyamaAShohei HigashiyamaResearcherAtsushi FujitaAAtsushi FujitaResearcherMasao UtiyamaAMasao UtiyamaResearcherInstance-Based Learning of Span Representations: A Case Study through Named Entity RecognitionWInstance-Based Learning...preprint / 2020Computation and LanguageTComputation and Language14115 worksN-best Response-based Analysis of Contradiction-awareness in Neural Response Generation ModelsWN-best Response-based A...preprint / 2022Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity RecognitionWEmbeddings of Label Com...preprint / 2020Evaluating Dialogue Generation Systems via Response SelectionWEvaluating Dialogue Gen...preprint / 2020
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Hiroki Ouchi

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PaperATD-Trans: A Geographically Grounded Japanese-English Travelogue Translation DatasetAuthorship / preprint / 2026PersonShohei HigashiyamaCo-authorship / ResearcherPersonAtsushi FujitaCo-authorship / ResearcherPersonMasao UtiyamaCo-authorship / ResearcherPaperInstance-Based Learning of Span Representations: A Case Study through Named Entity RecognitionAuthorship / preprint / 2020TopicComputation and LanguageWorks on / 14115 worksPaperN-best Response-based Analysis of Contradiction-awareness in Neural Response Generation ModelsAuthorship / preprint / 2022PaperEmbeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity RecognitionAuthorship / preprint / 2020

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