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Example studies on the US election, hate-speech, opinion change, and fake accounts are covered in this talk.Bio: Walid Magdy is an assistant professor at the school of Informatics, the University of Edinburgh (Uo E) and a faculty fellow at the Alan Turing Institute.
His main research interests include computational social science, information retrieval, and data mining.
He holds his Ph D from the School of Computing at Dublin City University (DCU), Ireland.
4 April 2019 - Walid Magdy (University of Edinburgh) - Online Users' Behaviour Understanding and Prediction with Data Science Large concern by public has emerged recently about social media data can reveal about users.
In this talk, some examples are presented of how “public” social media data could be explored with data science to predict users’ behaviour and societies trends, including public interest, individual preferences, and personal information.
, established in 1993 , is one of the largest and most successful language processing groups in the UK and has a strong global reputation. Josiah Wang Haiyang Zhang Temitope Adeosun Hesah Aldihan Abdulaziz Alamri Amal Alharbi Nada Al-Mhabis Areej Nasser A Alokaili Tarfah Alrashid Abdulsalam Alsunaidi Fernando Alva Manchego Faisal Alvi Thales FC Bertaglia William Briggs Zeerak Butt George Chrysostomou Chioma Enemuoh Ignatius Ezeani Hardy Hardy Ye Jiang Chiraag Lala Yida Mu Abiola Victor Obamuyide Varvara Papazoglou Johann Petrak Adam Poulston Rehab Kamal Qarout Stephanie Rudd David Steele James Thorne Mark Tice Donovan Wright 2018 - 2019 4 July 2019 - Daniel Beck (University of Melbourne) - Natural Language Generation in the Wild Traditional research in NLG focuses on building better models and assessing their performance using clean, preprocessed and curated datasets, as well as standard automatic evaluation metrics.
Natural Language Processing (NLP) is an interdisciplinary field that uses computational methods: Contact us [email protected] Natural Language Processing Research Group Department of Computer Science University of Sheffield Regent Court 211 Portobello Sheffield, S1 4DP UK 44 (0)1 Follow us on Twitter @Sheffield NLP The group's research interests fall into the broad areas of: Information Access: Building applications to improve access to information in massive text collections, such as the web, newswires and the scientific literature. From a scientific point-of-view, this provides a controlled environment where different models can be compared and robust conclusions can be made.The NLP group has close associations with the Speech and Hearing and Information Retrieval research groups which carry out research into other areas of computational processing of human language. His personal webpage can be found at https://beckdaniel.and he tweets at https://twitter.com/beck_daniel - Karin Verspoor (University of Melbourne) - Natural Language Processing (NLP) for structuring complex biomedical texts: progress and remaining challenges The NLP community has been focused on methods for identifying and extracting key concepts and relations from highly specialised and terminology-rich texts; these texts have posed a challenge to general NLP tools as well as providing an opportunity to explore the robustness of relation extraction methods to domain-specific applications.In this talk I will present our recent studies with graph kernels and neural methods for relation extraction from the biomedical literature, present empirical work on core supporting tasks such as syntactic analysis of these texts, and discuss open challenges for work in this direction and beyond.11 April 2019 - Ryan Cotterell (University of Cambridge) - Probabilistic Typology: Deep Generative Models of Vowel Inventories Linguistic typology studies the range of structures present in human language.The main goal of the field is to discover which sets of possible phenomena are universal, and which are merely frequent.He also has a set of 9 patents filed under his name.Some of his work was featured in popular press, such as CNN, BBC, Washington Post, National Geographic, and MIT Tech reviews.He has an extensive industrial background from working earlier for IBM, Microsoft, and QCRI.Walid has over 60 peer-reviewed published articles in top tier conferences and journals.For example, all languages have vowels, while most—but not all—languages have an [u] sound.In this paper we present the first probabilistic treatment of a basic question in phonological typology: What makes a natural vowel inventory?