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تلخيص الحوار Coreference-امل
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تكتسب المحادثات التي تلخيصها عبر النهج العصبية الجر أبحث في الآونة الأخيرة، ومع ذلك، لا تزال تحديا للحصول على حلول عملية. وتشمل أمثلة مثل هذه التحديات تبادل المعلومات غير منظم في الحوارات والتفاعلات غير الرسمية بين المتحدثين والتغيرات الديناميكية للمتكلمين كما يتطور الحوار. العديد من هذه التحديات تؤدي إلى روابط كوراسة المعقد. لذلك، في هذا العمل، يمكننا التحقيق في نهج مختلفة لإدماج معلومات Aquerfery بشكل صريح في نماذج تلخيص الحوار المبادرة العصبية لمعالجة التحديات المذكورة أعلاه. تظهر النتائج التجريبية أن النهج المقترحة تحقق من الأداء الحديثة، مما يعني أنه من المفيد استخدام معلومات Aquerence في تلخيص الحوار. توصي نتائج التقييم على صحة واقعية تشير إلى أن هذه النماذج المفيدة هي أفضل في تتبع تدفق المعلومات بين المحاورين وربط الوضع / الإجراءات الدقيقة مع المحاورين المقابلين وذكر الشخص.
Summarizing conversations via neural approaches has been gaining research traction lately, yet it is still challenging to obtain practical solutions. Examples of such challenges include unstructured information exchange in dialogues, informal interactions between speakers, and dynamic role changes of speakers as the dialogue evolves. Many of such challenges result in complex coreference links. Therefore, in this work, we investigate different approaches to explicitly incorporate coreference information in neural abstractive dialogue summarization models to tackle the aforementioned challenges. Experimental results show that the proposed approaches achieve state-of-the-art performance, implying it is useful to utilize coreference information in dialogue summarization. Evaluation results on factual correctness suggest such coreference-aware models are better at tracing the information flow among interlocutors and associating accurate status/actions with the corresponding interlocutors and person mentions.
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