1.

Record Nr.

UNINA9910637704003321

Autore

Lonardo Luigi

Titolo

Russia's 2022 War Against Ukraine and the Foreign Policy Reaction of the EU : Context, Diplomacy, and Law / / by Luigi Lonardo

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2022

ISBN

9783031186943

303118694X

Edizione

[1st ed. 2022.]

Descrizione fisica

1 online resource (98 pages)

Collana

Global Foreign Policy Studies, , 2731-7544

Disciplina

002

947.7086

Soggetti

International relations

Diplomacy

Foreign Policy

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Chapter 1: Introduction -- Chapter 2: The context: The EU and Ukraine between Slavophiles and NATO -- Chapter 3: EU Diplomacy: foreign policy response to the war and future EU-Russia relations -- Chapter 4: Law: the use of force, EU sanctions, and assistance to Ukraine.

Sommario/riassunto

This book offers a nuanced, insightful and multi-disciplinary analysis of Russia’s war against Ukraine and EU’s position vis-à-vis this war. It is both an excellent book on the war specifically and EU foreign policy more generally. The book is, indeed, a must-read for now, but also a must-keep for the future. - Gustav Schaldemose, Head of Security Unit, The Prime Minister's Office, Denmark This book offers an accessible and rigorous introduction to the context, diplomacy, and law of the European Union’s response to Russia's 2022 invasion of Ukraine. The book explores how the EU responded to the war in the initial months, and is based on research carried out on Russian and European political, diplomatic, and legal texts. Presenting a unique interdisciplinary perspective, the book delves into topics such as the EU diplomatic response, the Ukrainian application for membership of the EU, the policy and legal aspects of EU sanctions against Russia and Belarus.



Additionally, the book examines the significance of the EU’s unprecedented political response for the constitutional structure of the EU, and for the strategy toward the Russia of the future. Luigi Lonardo is a Lecturer in EU law at University College Cork, Ireland, and a visiting Lecturer in European Foreign Security and Defence Policy at Sciences Po in Paris, France. Previously he has been a Lecturer and visiting Lecturer in EU law at King’s College London and at the University of Westminster. He has published articles on EU foreign policy in the European Law Review, the European Constitutional Law Review, European Papers, and the European Foreign Affairs Review.

2.

Record Nr.

UNINA9910427694303321

Titolo

Artificial Intelligence and Natural Language : 9th Conference, AINL 2020, Helsinki, Finland, October 7–9, 2020, Proceedings / / edited by Andrey Filchenkov, Janne Kauttonen, Lidia Pivovarova

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-59082-8

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (X, 203 p. 67 illus., 36 illus. in color.)

Collana

Communications in Computer and Information Science, , 1865-0937 ; ; 1292

Disciplina

006.35

Soggetti

Artificial intelligence

Database management

Data mining

Application software

Computer science

Artificial Intelligence

Database Management

Data Mining and Knowledge Discovery

Computer and Information Systems Applications

Theory of Computation

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

PolSentiLex: Sentiment Detection in Socio-political Discussions on Russian Social Media -- Automatic Detection of Hidden Communities in the Texts of Russian Social Network Corpus -- Dialog Modelling Experiments with Finnish One-to-One Chat Data -- Advances of Transformer-Based Models for News Headline Generation -- An explanation method for black-box machine learning survival models using the Chebyshev distance -- Unsupervised Neural Aspect Extraction with Related Terms -- Predicting Eurovision Song Contest Results using Sentiment Analysis -- Improving Results on Russian Sentiment Datasets -- Dataset for Automatic Summarization of Russian News -- Dataset for evaluation of mathematical reasoning abilities in Russian -- Searching Case Law Judgments by Using Other Judgments as a Query -- GenPR: Generative PageRank framework for Semi-Supervised Learning on citation graphs -- Finding New Multiword Expressions for Existing Thesaurus -- Matching LIWC with Russian Thesauri: An Exploratory Study -- Chinese-Russian Shared Task on Multi-Domain Translation.

Sommario/riassunto

This book constitutes the refereed proceedings of the 9th Conference on Artificial Intelligence and Natural Language, AINL 2020, held in Helsinki, Finland, in October 2020. The 11 revised full papers and 3 short papers were carefully reviewed and selected from 36 submissions. Additionally, the volume presents 1 shared task paper. The volume presents recent research in areas of of text mining, speech technologies, dialogue systems, information retrieval, machine learning, articial intelligence, and robotics. .