Applying Recurrent Neural Network to Arabic Named Entity Recognition
نویسندگان
چکیده
This technical report collects the final reports of the undergraduate Computer Science majors from the Qatar Campus of Carnegie Mellon University who elected to complete a senior research thesis in the academic year 2015–16 as part of their degree. These projects have spanned the students’ entire senior year, during which they have worked closely with their faculty advisors to plan and carry out their projects. This work counts as 18 units of academic credit each semester. In addition to doing the research, the students presented a brief midterm progress report each semester, presented a public poster session in December, presented an oral summary in the year-end campuswide Meeting of the Minds and submitted a written thesis in May.
منابع مشابه
تشخیص اسامی اشخاص با استفاده از تزریق کلمههای نامزد اسم در میدانهای تصادفی شرطی برای زبان عربی
Named Entity Recognition and Extraction are very important tasks for discovering proper names including persons, locations, date, and time, inside electronic textual resources. Accurate named entity recognition system is an essential utility to resolve fundamental problems in question answering systems, summary extraction, information retrieval and extraction, machine translation, video interpr...
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