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Register a new userNarrative Embedding: Re-Contextualization Through Attention
السرد التضمين: إعادة السياق من خلال الاهتمام
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أصبح التحليل السردي أمرا مهما بشكل متزايد لعدد من المهام اللغوية بما في ذلك تلخيص واستخراج المعرفة والتسجيل.نقدم نهج رواية لتمثيل الحدث السردي باستخدام الانتباه إلى إعادة السياق الأحداث عبر القصة بأكملها.مقارنة بالتحليل السابق، نجد مرفقا غير متوقع من دلالات الأحداث إلى الرموز المسندية في نموذج محول شعبية.نحن نختبر فائدة نهجنا بشأن التنبؤ بإكمال السرد، وتحقيق حالة الأداء الفني على زر قردي متعدد الخيارات والتسجيل بشكل تنافسي في مهمة Cloze Cloze.
Narrative analysis is becoming increasingly important for a number of linguistic tasks including summarization, knowledge extraction, and question answering. We present a novel approach for narrative event representation using attention to re-contextualize events across the whole story. Comparing to previous analysis we find an unexpected attachment of event semantics to predicate tokens within a popular transformer model. We test the utility of our approach on narrative completion prediction, achieving state of the art performance on Multiple Choice Narrative Cloze and scoring competitively on the Story Cloze Task.
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Identifying relevant knowledge to be used in conversational systems that are grounded in long documents is critical to effective response generation. We introduce a knowledge identification model that leverages the document structure to provide dialo
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Narrative generation is an open-ended NLP task in which a model generates a story given a prompt. The task is similar to neural response generation for chatbots; however, innovations in response generation are often not applied to narrative generatio
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