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QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English.

, , , , , , , , , , , , and . SemEval@NAACL-HLT, page 203-209. The Association for Computer Linguistics, (2015)

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A panoramic survey of natural language processing in the Arab world., , , , , , , , , and 2 other author(s). Commun. ACM, 64 (4): 72-81 (2021)Advances in dialectal Arabic speech recognition: a study using Twitter to improve Egyptian ASR., , and . IWSLT, (2014)SemEval-2017 Task 3: Community Question Answering., , , , , , and . SemEval@ACL, page 27-48. Association for Computational Linguistics, (2017)QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English., , , , , , , , , and 3 other author(s). SemEval@NAACL-HLT, page 203-209. The Association for Computer Linguistics, (2015)Emojis as Anchors to Detect Arabic Offensive Language and Hate Speech., , and . CoRR, (2022)Arabic to English Person Name Transliteration using Twitter., and . LREC, European Language Resources Association (ELRA), (2016)Language processing and learning models for community question answering in Arabic., , , , , , , , and . Inf. Process. Manag., 56 (2): 274-290 (2019)Arabic Curriculum Analysis., , , and . COLING (Demonstrations), page 80-86. International Committee on Computational Linguistics (ICCL), (2020)Arabic Dialect Identification in the Wild., , , , and . CoRR, (2020)Towards Generalization of Machine Learning Models: A Case Study of Arabic Sentiment Analysis., , , and . ICWSM, page 971-980. AAAI Press, (2023)