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Register a new userExtract, Integrate, Compete: Towards Verification Style Reading Comprehension
استخراج، دمج، تنافس: نحو مفهوم قراءة نمط التحقق
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في هذه الورقة، نقدم مجموعة بيانات مفهوم التحقق من قراءة جديدة تسمى vgaokao من اختبارات اللغة الصينية في Gaokao.تختلف عن الجهود الحالية، تم تصميم مجموعة البيانات الجديدة في الأصل لتقييم المتحدثين الأصليين، وبالتالي تتطلب مهارات تفاهم لغة أكثر تقدما.لمعالجة التحديات في Vgaokao، نقترح نهجا جديدا متناكج للمتخصص، الذي يختار تكرارا دليلا تكميليا مع وجود آلية تحديث استعلام رواية وأدلة تدعم تكاليف، تليها مسابقة زوجية لدفع النماذج لتعلم الفرق الدقيق بين ما شابه ذلكقطع النص.تبين التجارب أن أساليبنا تتفوق على مختلف خطوط الأساس على Vgaokao مع أدلة تكميلية مستردة، مع وجود مزايا الكفاءة والشرطية.يتم إصدار DataSet و Code لدينا لمزيد من البحث.
In this paper, we present a new verification style reading comprehension dataset named VGaokao from Chinese Language tests of Gaokao. Different from existing efforts, the new dataset is originally designed for native speakers' evaluation, thus requiring more advanced language understanding skills. To address the challenges in VGaokao, we propose a novel Extract-Integrate-Compete approach, which iteratively selects complementary evidence with a novel query updating mechanism and adaptively distills supportive evidence, followed by a pairwise competition to push models to learn the subtle difference among similar text pieces. Experiments show that our methods outperform various baselines on VGaokao with retrieved complementary evidence, while having the merits of efficiency and explainability. Our dataset and code are released for further research.
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