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This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020.* The 70 full papers presented were carefully reviewed and selected from 314 submissions. The papers are grouped in topical sections on: knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; applications of collective intelligence; data mining methods and applications; machine learning methods; deep learning and applications for industry 4.0; computer vision techniques; biosensors and biometric techniques; innovations in intelligent systems; natural language processing; low resource languages processing; computational collective intelligence and natural language processing; computational intelligence for multimedia understanding; and intelligent processing of multimedia in web systems. *The conference was held virtually due to the COVID-19 pandemic.
The two-volume set LNAI 8265 and LNAI 8266 constitutes the proceedings of the 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, held in Mexico City, Mexico, in November 2013. The total of 85 papers presented in these proceedings were carefully reviewed and selected from 284 submissions. The first volume deals with advances in artificial intelligence and its applications and is structured in the following five sections: logic and reasoning; knowledge-based systems and multi-agent systems; natural language processing; machine translation; and bioinformatics and medical applications. The second volume deals with advances in soft computing and its applications and is structured in the following eight sections: evolutionary and nature-inspired metaheuristic algorithms; neural networks and hybrid intelligent systems; fuzzy systems; machine learning and pattern recognition; data mining; computer vision and image processing; robotics, planning and scheduling and emotion detection, sentiment analysis and opinion mining.
This book constitutes the refereed proceedings of the 14th International Conference on Text, Speech and Dialogue, TSD 2011, held in Pilsen, Czech Republic, in September 2011. The 53 papers presented together with 2 invited talks were carefully reviewed and selected from 110 submissions. The main topic of this year's conference was "integrating modern Web with speech and language technologies". This year the Third International Workshop on Balto-Slavonic Natural Language was affiliated to TSD. The present book contains 8 contributions from this workshop.
This book focuses on the multifarious aspects of ‘fuzzy boundaries’ in the field of discourse studies, a field that is marked by complex boundary work and a great degree of fuzziness regarding theoretical frameworks, methodologies, and the use of linguistic categories. Discourse studies is characterised by a variety of theoretical frameworks and disciplinary fields, research methodologies, and lexico-grammatical categories. The contributions in this book explore some of the nuances and implications of the fuzzy boundaries in these areas, resulting in a wide-reaching volume which will be of interest to students and scholars of discourse studies in fields including sociology, linguistics, international relations, philosophy, literary criticism and anthropology.
The two-volume set LNAI 8265 and LNAI 8266 constitutes the proceedings of the 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, held in Mexico City, Mexico, in November 2013. The total of 85 papers presented in these proceedings were carefully reviewed and selected from 284 submissions. The first volume deals with advances in artificial intelligence and its applications and is structured in the following five sections: logic and reasoning; knowledge-based systems and multi-agent systems; natural language processing; machine translation and bioinformatics and medical applications. The second volume deals with advances in soft computing and its applications and is structured in the following eight sections: evolutionary and nature-inspired metaheuristic algorithms; neural networks and hybrid intelligent systems; fuzzy systems; machine learning and pattern recognition; data mining; computer vision and image processing; robotics, planning and scheduling and emotion detection, sentiment analysis and opinion mining.
This book constitutes the refereed proceedings of the 6th Language and Technology Conference: Challenges for Computer Science and Linguistics, LTC 2013, held in Poznań, Poland, in December 2013. The 31 revised and in many cases substantially extended papers presented in this volume were carefully reviewed and selected from 103 submissions.The papers selected to this volume belong to various fields of Human Language Technologies and illustrate a large thematic coverage of the LTC conferences. To make the presentation of the papers possibly transparent we have “structured” them into 9 chapters. These are: Speech Processing, Morphology, Parsing Related Issues, Computational Semantics, Digital Language Resources, Ontologies and Wordnets, Written Text and Document Processing, Information and Data Extraction, and Less-Resourced Languages.
Poradnik językowy przygotowany w Pracowni Prostej Polszczyzny Uniwersytetu Wrocławskiego dla zajmujących się tematyką Funduszy Europejskich. Równocześnie pierwsza polska pozycja proponująca standard prostego języka (plain language). Praktyczny zbiór wskazówek, porad i technik ułatwiających pisanie, ale równocześnie – wspierających rozumienie. Propozycja powstała w efekcie obszernych i wyczerpujących badań empirycznych. Wszystkie sugerowane przez rozwiązania wynikają z analizy liczącej pół miliona słów próby tekstów o FE. Ich lektura pozwoliła uzupełnić poradnik autentycznymi przykładami – zarówno godnymi naśladowania, jak i tymi, których należy zdecydowanie unikać.
Publikacja poświęcona przystępności raportów ewaluacyjnych przygotowana w Pracowni Prostej Polszczyzny Uniwersytetu Wrocławskiego. Równocześnie druga polska pozycja proponująca standard prostego języka (plain language). Wszystkie sugerowane przez rozwiązania wynikają z analizy liczącego siedem milionów słów korpusu tekstów poświęconych ewaluacji. Ich lektura pozwoliła uzupełnić poradnik autentycznymi przykładami – zarówno godnymi naśladowania, jak i tymi, których należy zdecydowanie unikać.