تقدم هذه الورقة نظام الغموض في السياق.تركز المهمة على التقاط الطبيعة Polysemous للكلمات في بيئة متعددة اللغات واللغة اللغوية، دون النظر في جرد صارم من معاني الكلمات.يطبق النظام خوارزميات معالجة اللغة الطبيعية على مجموعات البيانات من مهمة Semeval 2021 2، والقدرة على تحديد معنى الكلمات للغات العربية والصينية والإنجليزية والفرنسية والروسية، دون الاستفادة من أي موارد أحادية أو متعددة اللغات إضافية.
This paper presents a word-in-context disambiguation system. The task focuses on capturing the polysemous nature of words in a multilingual and cross-lingual setting, without considering a strict inventory of word meanings. The system applies Natural Language Processing algorithms on datasets from SemEval 2021 Task 2, being able to identify the meaning of words for the languages Arabic, Chinese, English, French and Russian, without making use of any additional mono- or multilingual resources.
References used
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