6/13/2023 0 Comments Semeval 2015 task3![]() We propose a task for developing question answering systems that can answer questions based on news articles written in Spanish. In this task we address the problem of answering questions by extracting answers from a set of documents. Each of these stages has its own challenges, and the whole task requires a successful outcome in each of them and in their integration. Open domain question answering involves two main stages: a) obtaining the relevant documents, generally using methods from the Information Retrieval field (IR) (Manning, 2008), possibly one of the most widely studied topics in NLP, with web search engines as their most noticeable product, b) extracting the answer from those documents. Question Answering (QA) is a classical Natural Language Processing task (Jurafsky, 2021), and can be divided into two main categories: semantic analysis, where the question is transformed to a query to a knowledge database and open domain question answering, where, starting from a question written in natural language and a set of documents, the answer to the question is obtained using information retrieval and information extraction techniques. The Codalab page for the competition is available. The competition is over, the evaluation results have been published. This task is part of IberLEF 2022, and is organized by Grupo PLN-UdelaR News Nine patents filed under my name while working for IBM, Microsoft, DCU, and QCRI.Welcome to the shared task QuALES - Question Answering Learning from Examples in Spanish, a task to automatically find answers to questions in Spanish from news text. Check my full list of publications here Patents PC member / reviewer in conferences (* indicates AC or SPC):Ģ016: CIKM, CSCW, ECIR, EMNLP, ICWSM, HCMOP, SIGIR.Ģ018: CIKM, CSCW, ECIR, EMNLP, HICSS51, ICNLSP, ICWSM, SDCS, AAAI, ACL*, CHI, CIKM, ECIR, HT, ICWSM, LREC, SocInfo*, WebSci. Reviewer in journals: ACM Transactions on Information Systems (TOIS), ACM Transactions on Internet Technology (TOIT), Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Information Forensics and Security (TIFS), Elsevier IP&M, Elsevier Information Systems, Elsevier Expert Systems, Elsevier Telecommunication and Informatics, Elsevier World Patent Information, Elsevier Computer Speech & Language, Elsevier Journal of Network and Computer Applications, Springer IR Journal, AI Communications, Computational Linguistics, WWW Journal, Applied Computing & Informatics, Social Network Analysis and Mining (SNAM), Online Information Review Journal, Journal of Telemedicine and Telecare. Detection and Characterization of Stance on Social Media, ICWSM, Jun 2020. Possible Directions for Building a Career in Data Science, Alexandria University, Egypt, Dec 2018. Possible Directions for Building a Career in Data Science, Cairo University, Egypt, Dec 2017. WANLP 2021: The Sixth Arabic Natural Language Processing Workshop, 2021 4th Workshop on Arabic Corpora and Processing Tools, 2020 WANLP 2019: The Fourth Arabic Natural Language Processing Workshop, 2019 BroDyn: Analysis of Broad Dynamic Topics over Social Media, 2018 3rd Workshop on Arabic Corpora and Processing Tools, 2018 2nd Workshop on Arabic Corpora and Processing Tools, 2016 SemEval-2022 Task 6: iSarcasmEval - Intended Sarcasm Detection in English and Arabic. WANLP-2021 Shared Task 2: Sarcasm and Sentiment Detection In Arabic. SemEval-2021 Task 7: Hahackathon: Incorporating Demographic Factors into Shared Humor Tasks. OSACT4-2020 Shared Task: Arabic offensive language detection. SemEval-2016 Task 3: Community Question Answering. SemEval-2015 Task 3: Answer Selection in Community Question Answering. Social Network Analysis and Mining ( SNAM).Ĭo-organizer of the following shared tasks: Information filtering, social search, patent search, evaluation metrics, Arabic IR, and cross-language IR (CLIR) Text mining, classification, sentiment analysis, sarcasm detection. ![]() Social content analysis, political bias detection, and users' behavior analysis/prediction I am the founder and director of the Social Media Analysis and Support for Humanity ( SMASH) group at the University of Edinburgh. I have large industrial background from working earlier for Qatar Computing Research Institute ( QCRI), Microsoft, and IBM. School of Computing, Dublin City University ( DCU). My main expertise is in computational social science, data mining, and natural language processing. I am also a faculty fellow at The Alan Turing Institute. I am a faculty member at the Institute for Language, Cognition and Computation ( ILCC), part of the School of Informatics, the Univeristy of Edinburgh.
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