Named Entity Recognition from Chernobyl Documentaries
The paper describes a system that extracts facts and opinions from documentary texts to create a domain ontology of a controversial topic for Chernobyl disaster. The pipeline of the system is based on RNNbased NER module, which was tested on an annotated text corpora.
The International Conference “Internet and Modern Society” (IMS-2020) was initially planned to take place in St. Petersburg, Russia. Due to the spread of COVID-19 and the ban on public events, the conference was held during 17-20 June 2020 in the format of online sessions with a discussion of papers and presentations uploaded in advance. The conference was organized by the ITMO University during the Information Society Week. The important events of IMS-2020, focused on specific aspects of information society and digital transformation, were International Workshop “Information Systems for Science and Education”, International Workshop “Internet Psychology” (IntPsy2020), International Workshop “Computational Linguistics” (CompLing2020) and International Workshop “ Electronic Governance ” (E-Governance2020).
The goal of the CompLing2020 workshop was to discuss the actual issues of interaction of linguistics and information technologies – regarding the development of technology solutions on the basis of a natural language, and the influence of information technologies on the language. Target audience are linguists of all profiles, the staff of organizations developing information systems that involve natural language processing, specialists in knowledge representation, higher education teachers, translators. The workshop was focused on the following key topics: Computer modeling of language, Computer analysis of natural language, Corpus linguistics, Digital linguistic resources, Computational and linguistic ontologies, Information extraction, Document analysis, Information retrieval, Machine translation, Computational lexicography, Speech technologies, Linguistic analysis of social networks.
The development of cognitive technologies contributes to the effective introduction of Artificial Intelligence into the everyday life of a person. New interfaces for device-human interaction appear. Understanding the natural language of human is one of the most promising areas of the development of Artificial Intelligence. Voice assistants are a striking example of such systems, they can be integrated into many other intelligent systems and improve the convenience of human-computer interaction. In this paper, the main shortcomings of voice assistants, the principles of functioning and possible ways of development of this technology are described. The development of an autonomous voice assistant is described.
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions (Pittsburgh 2010, Cordoba 2009 and Montreal 2008), and a series of workshops within the AAAI, AIED, EC-TEL, ICALT, ITS, and UM conferences. The increase of e-learning resources such as interactive learning environments, learning management systems, intelligent tutoring systems, and hypermedia systems, as well as the establishment of state databases of student test scores, has created large repositories of data that can be explored to understand how students learn. The EDM conference focuses on data mining techniques for using these data to address important educational questions.