تقدم الصابغة فرصة كمصدر بيانات للبحث في NLP والتعليم والعلوم الاجتماعية.ومع ذلك، فإن الإجابة على أسئلة بحثية محددة مع هذه البيانات صعبة، حيث تحتوي الصخور على أساليب كتابة أكثر تنوعا من الخيال الرسمي.نقدم خط أنابيب معالجة النصوص للقصص، مع التركيز على تحديد النص المرتبط بالأحرف.يتضمن خط الأنابيب وحدات لتحديد الأحرف وكور المعلومات، وكذلك إسناد الاقتباس والسرد إلى تلك الشخصيات.بالإضافة إلى ذلك، يحتوي خط الأنابيب على نهج رواية في Conment Coreence الذي يستخدم المعرفة من إسناد Quote لحل الضمائر داخل علامات الاقتباس.لكل وحدة، نقوم بتقييم فعالية النهج المختلفة على 10 قصص صانفة مشروحة.هذا خط أنابيب تتفوق الأدوات المتقدمة للخيال الرسمي على مهام Aquerence Aquer Aquare و Quote
Fanfiction presents an opportunity as a data source for research in NLP, education, and social science. However, answering specific research questions with this data is difficult, since fanfiction contains more diverse writing styles than formal fiction. We present a text processing pipeline for fanfiction, with a focus on identifying text associated with characters. The pipeline includes modules for character identification and coreference, as well as the attribution of quotes and narration to those characters. Additionally, the pipeline contains a novel approach to character coreference that uses knowledge from quote attribution to resolve pronouns within quotes. For each module, we evaluate the effectiveness of various approaches on 10 annotated fanfiction stories. This pipeline outperforms tools developed for formal fiction on the tasks of character coreference and quote attribution
References used
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