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Proceedings of the 30th Annual Meeting of the Association for Natural Language Processing, pp. 3137\u20133142.].","DOI":"10.5715\/jnlp.30.1128"},{"key":"19","unstructured":"\u8526\u4f91\u78e8\uff0c\u5409\u6c38\u76f4\u6a39 (2024). \u8a55\u4fa1\u306e\u968e\u5c64\u6027\u306b\u7740\u76ee\u3057\u305f\u96d1\u8ac7\u5bfe\u8a71\u30b7\u30b9\u30c6\u30e0\u8a55\u4fa1\u306e\u5206\u6790. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a\u7b2c 30 \u56de\u5e74\u6b21\u5927\u4f1a\u767a\u8868\u8ad6\u6587\u96c6, pp. 2210\u20132215. [Y. Tsuta and N. Yoshinaga (2024). Hyoka no Kaisosei ni Chakumoku shita Zatsudan Taiwa Shisutemu Hyoka no Bunseki. Proceedings of the 30th Annual Meeting of the Association for Natural Language Processing, pp. 2210\u20132215.]."},{"key":"20","unstructured":"Vasselli, J. and Watanabe, T. (2024). \u201cAdversarial Evaluation of Dialogue System Metrics.\u201d In <i>Proceedings of the 30th Annual Meeting of the Association for Natural Language Processing<\/i>, pp. 2811\u20132816."},{"key":"21","unstructured":"\u548c\u7530\u552f\u6211\uff0c\u517c\u7530\u5bdb\u5927\uff0c\u9f4b\u85e4\u5927\u5730\uff0c\u6749\u6d66\u5b54\u660e (2024). Polos\uff1a\u753b\u50cf\u30ad\u30e3\u30d7\u30b7\u30e7\u30f3\u751f\u6210\u306b\u304a\u3051\u308b\u6559\u5e2b\u3042\u308a\u81ea\u52d5\u8a55\u4fa1\u5c3a\u5ea6. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a\u7b2c 30 \u56de\u5e74\u6b21\u5927\u4f1a\u767a\u8868\u8ad6\u6587\u96c6, pp. 2817\u20132822. [Y. Wada et al. (2024). Polos: Gazo Kyapushon Seisei niokeru Kyoshi Ari Jido Hyoka Shakudo. Proceedings of the 30th Annual Meeting of the Association for Natural Language Processing, pp. 2817\u20132822.]."},{"key":"22","unstructured":"Wu, X. and Arase, Y. (2024). \u201cEvaluation of ChatGPT Models on Sentence Simplification.\u201d In <i>Proceedings of the 30th Annual Meeting of the Association for Natural Language Processing<\/i>, pp. 3125\u20133130."},{"key":"23","unstructured":"\u5c71\u53e3\u5927\u5730\uff0c\u5bae\u7530\u73b2\uff0c\u85e4\u7530\u7be4\uff0c\u68b6\u539f\u667a\u4e4b\uff0c\u4f50\u85e4\u7406\u53f2 (2024). \u30c6\u30ad\u30b9\u30c8\u7de8\u96c6\u4e8b\u4f8b\u306e\u7de8\u96c6\u64cd\u4f5c\u3078\u306e\u81ea\u52d5\u5206\u89e3. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a\u7b2c 30 \u56de\u5e74\u6b21\u5927\u4f1a\u767a\u8868\u8ad6\u6587\u96c6, pp. 3107\u20133112. [D. Yamaguchi et al. (2024). Tekisuto Henshu Jirei no Henshu Sosa heno Jido Bunkai. Proceedings of the 30th Annual Meeting of the Association for Natural Language Processing, pp. 3107\u20133112.]."},{"key":"24","unstructured":"\u5c71\u672c\u771f\u4f51\u82b1\uff0c\u85e4\u7530\u7be4\uff0c\u5f71\u6d66\u5ce1 (2024). \u82f1\u65e5\u7ffb\u8a33\u65b9\u7565\u4f53\u7cfb\u306b\u57fa\u3065\u304f\u300c\u76f4\u8a33\u300d\u300c\u610f\u8a33\u300d\u306e\u8a33\u51fa\u5206\u6790. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a\u7b2c 30 \u56de\u5e74\u6b21\u5927\u4f1a\u767a\u8868\u8ad6\u6587\u96c6, pp. 2805\u20132810. [M. Yamamoto et al. (2024). Einichi Honyaku Horyaku Taikei ni Motozuku \u2018Chokuyaku\u2019 \u2018Iyaku\u2019 no Yakushutsu Bunseki. Proceedings of the 30th Annual Meeting of the Association for Natural Language Processing, pp. 2805\u20132810.]."},{"key":"25","unstructured":"\u5b89\u7530\u572d\u5fd7\uff0c\u83c5\u8c37\u53f2\u662d\uff0c\u6c60\u7530\u7f8e\u7d00\u5b50\uff0c\u7c73\u6fa4\u65e9\u7d00\u6075\uff0c\u9685\u7530\u82f1\u4e00\u90ce (2024). \u901a\u8a33\u54c1\u8cea\u8a55\u4fa1\u306b\u95a2\u3059\u308b\u30c7\u30fc\u30bf\u53ce\u96c6\u3068\u5206\u6790. \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a\u7b2c 30 \u56de\u5e74\u6b21\u5927\u4f1a\u767a\u8868\u8ad6\u6587\u96c6, pp. 2789\u20132792. [K. Yasuda et al. (2024). Tsuyaku Hinshitsu Hyoka ni kansuru Deta Shushu to Bunseki. Proceedings of the 30th Annual Meeting of the Association for Natural Language Processing, pp. 2789\u20132792.]."}],"container-title":["Journal of Natural Language Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/jnlp\/31\/2\/31_755\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,15]],"date-time":"2024-06-15T04:29:18Z","timestamp":1718425758000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/jnlp\/31\/2\/31_755\/_article\/-char\/ja\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":25,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.5715\/jnlp.31.755","relation":{},"ISSN":["1340-7619","2185-8314"],"issn-type":[{"value":"1340-7619","type":"print"},{"value":"2185-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}