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Register a new userAre We Summarizing the Right Way? A Survey of Dialogue Summarization Data Sets
هل نحن تلخيص الطريق الصحيح؟دراسة استقصائية لحضور بيانات علمة الحوار
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تلخيص الحوار عبارة عن مهمة طويلة الأمد في مجال NLP، وعدة مجموعات بيانات مع حوارات ووجود ملخصات مكتوبة بشرية من الأنماط المختلفة موجودة.ومع ذلك، فمن غير الواضح لأي نوع من الحوار أي نوع الموجز هو الأنسب.لهذا السبب، نطبق النموذج اللغوي لأنواع الحوار لاستخلاص عناصر ملخص مطابقة ومهام NLP.يتيح لنا هذا تعيين بيانات تلخيص الحوار الموجودة في هذا النموذج وتحديد الفجوات والاتجاهات المحتملة للعمل في المستقبل.كجزء من هذه العملية، نقدم أيضا نظرة عامة واسعة النطاق عن مجموعات بيانات تلخيص الحوار الموجودة.
Dialogue summarization is a long-standing task in the field of NLP, and several data sets with dialogues and associated human-written summaries of different styles exist. However, it is unclear for which type of dialogue which type of summary is most appropriate. For this reason, we apply a linguistic model of dialogue types to derive matching summary items and NLP tasks. This allows us to map existing dialogue summarization data sets into this model and identify gaps and potential directions for future work. As part of this process, we also provide an extensive overview of existing dialogue summarization data sets.
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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 interac
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