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Register a new userTowards Layered Events and Schema Representations in Long Documents
نحو الأحداث الطبقات وتمثيل المخطط في وثائق طويلة
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في هذه الرسالة الأطروحة، نستكشف تطبيق استخراج الأحداث على النصوص الأدبية. بالنظر إلى أطوال أحداث النمذجة الأدبية في التحبيبات المختلفة قد تكون أكثر كافية لاستخراج معلومات ذات معنى، حيث تساهم العناصر الفردية القليل إلى الدلالات الإجمالية. نحن نتكيف مع مفهوم المخططات كسلسلة من الأحداث التي تصف جميعها عملية واحدة، متصلة من خلال المشاركين المشتركين إلى توسعها إلى مخططات متعددة في وثيقة. يتم تقسيم تسلسلات الأحداث في مخططات من خلال نماذج تسلسل الأحداث، في هذه المهمة كهذه المهمة السردية، التنبؤ بالأحداث المفقودة في التسلسل. نقترح بناء على تسلسل تضمين الأحداث لتشكيل شرق المخطط، وبالتالي تلخيص أقسام المستندات باستخدام تمثيل واحد. سيسمح هذا النهج بمقارنات أقسام مختلفة من الوثائق والأعمال الأدبية بأكملها. الأدب هو مجال صعبة يعتمد على مجموعة متنوعة من الأنواع، ولكن تمثيل المحتوى الأدبي قد تلقى اهتماما كبيرا نسبيا.
In this thesis proposal, we explore the application of event extraction to literary texts. Considering the lengths of literary documents modeling events in different granularities may be more adequate to extract meaningful information, as individual elements contribute little to the overall semantics. We adapt the concept of schemas as sequences of events all describing a single process, connected through shared participants extending it to for multiple schemas in a document. Segmentation of event sequences into schemas is approached by modeling event sequences, on such task as the narrative cloze task, the prediction of missing events in sequences. We propose building on sequences of event embeddings to form schema embeddings, thereby summarizing sections of documents using a single representation. This approach will allow for the comparisons of different sections of documents and entire literary works. Literature is a challenging domain based on its variety of genres, yet the representation of literary content has received relatively little attention.
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