Suchergebnisse

In our paper we present a corpus of transcribed Lithuanian parliamentary speeches. The corpus is prepared in a specific format, appropriate for different authorship identification tasks. The corpus consists of approximately 111 thousand texts (24 million words). Each text matches one parliamentary speech produced during an ordinary session from the period of 7 parliamentary terms starting on March 10, 1990 and ending on December 23, 2013. The texts are grouped into 147 categories corresponding to individual authors, therefore they can be used for authorship attribution tasks; besides, these texts are also grouped according to age, gender and political views, therefore they are also suitable for author profiling tasks. Whereas short texts complicate recognition of author speaking style and are ambiguous in relation to the style of other authors, we incorporated only texts containing not less than 100 words into the corpus. In order to make each category as comprehensive and representative as possible, we included only those authors, who produced speeches at least 200 times. All the texts are lemmatized, morphologically and syntactically annotated, tokenized into the character n-grams. The statistical information of the corpus is also available. We have also demonstrated that the created corpus can be effectively used in authorship attribution and author profiling tasks with supervised machine learning methods. The corpus structure also allows using it with unsupervised machine learning methods and can be used for creation of rule-based methods, as well as in different linguistic analyses.

In our paper we present a corpus of transcribed Lithuanian parliamentary speeches. The corpus is prepared in a specific format, appropriate for different authorship identification tasks. The corpus consists of approximately 111 thousand texts (24 million words). Each text matches one parliamentary speech produced during an ordinary session from the period of 7 parliamentary terms starting on March 10, 1990 and ending on December 23, 2013. The texts are grouped into 147 categories corresponding to individual authors, therefore they can be used for authorship attribution tasks; besides, these texts are also grouped according to age, gender and political views, therefore they are also suitable for author profiling tasks. Whereas short texts complicate recognition of author speaking style and are ambiguous in relation to the style of other authors, we incorporated only texts containing not less than 100 words into the corpus. In order to make each category as comprehensive and representative as possible, we included only those authors, who produced speeches at least 200 times. All the texts are lemmatized, morphologically and syntactically annotated, tokenized into the character n-grams. The statistical information of the corpus is also available. We have also demonstrated that the created corpus can be effectively used in authorship attribution and author profiling tasks with supervised machine learning methods. The corpus structure also allows using it with unsupervised machine learning methods and can be used for creation of rule-based methods, as well as in different linguistic analyses.

In our paper we present a corpus of transcribed Lithuanian parliamentary speeches. The corpus is prepared in a specific format, appropriate for different authorship identification tasks. The corpus consists of approximately 111 thousand texts (24 million words). Each text matches one parliamentary speech produced during an ordinary session from the period of 7 parliamentary terms starting on March 10, 1990 and ending on December 23, 2013. The texts are grouped into 147 categories corresponding to individual authors, therefore they can be used for authorship attribution tasks; besides, these texts are also grouped according to age, gender and political views, therefore they are also suitable for author profiling tasks. Whereas short texts complicate recognition of author speaking style and are ambiguous in relation to the style of other authors, we incorporated only texts containing not less than 100 words into the corpus. In order to make each category as comprehensive and representative as possible, we included only those authors, who produced speeches at least 200 times. All the texts are lemmatized, morphologically and syntactically annotated, tokenized into the character n-grams. The statistical information of the corpus is also available. We have also demonstrated that the created corpus can be effectively used in authorship attribution and author profiling tasks with supervised machine learning methods. The corpus structure also allows using it with unsupervised machine learning methods and can be used for creation of rule-based methods, as well as in different linguistic analyses.

In our paper we present a corpus of transcribed Lithuanian parliamentary speeches. The corpus is prepared in a specific format, appropriate for different authorship identification tasks. The corpus consists of approximately 111 thousand texts (24 million words). Each text matches one parliamentary speech produced during an ordinary session from the period of 7 parliamentary terms starting on March 10, 1990 and ending on December 23, 2013. The texts are grouped into 147 categories corresponding to individual authors, therefore they can be used for authorship attribution tasks; besides, these texts are also grouped according to age, gender and political views, therefore they are also suitable for author profiling tasks. Whereas short texts complicate recognition of author speaking style and are ambiguous in relation to the style of other authors, we incorporated only texts containing not less than 100 words into the corpus. In order to make each category as comprehensive and representative as possible, we included only those authors, who produced speeches at least 200 times. All the texts are lemmatized, morphologically and syntactically annotated, tokenized into the character n-grams. The statistical information of the corpus is also available. We have also demonstrated that the created corpus can be effectively used in authorship attribution and author profiling tasks with supervised machine learning methods. The corpus structure also allows using it with unsupervised machine learning methods and can be used for creation of rule-based methods, as well as in different linguistic analyses.

In our paper we present a corpus of transcribed Lithuanian parliamentary speeches. The corpus is prepared in a specific format, appropriate for different authorship identification tasks. The corpus consists of approximately 111 thousand texts (24 million words). Each text matches one parliamentary speech produced during an ordinary session from the period of 7 parliamentary terms starting on March 10, 1990 and ending on December 23, 2013. The texts are grouped into 147 categories corresponding to individual authors, therefore they can be used for authorship attribution tasks; besides, these texts are also grouped according to age, gender and political views, therefore they are also suitable for author profiling tasks. Whereas short texts complicate recognition of author speaking style and are ambiguous in relation to the style of other authors, we incorporated only texts containing not less than 100 words into the corpus. In order to make each category as comprehensive and representative as possible, we included only those authors, who produced speeches at least 200 times. All the texts are lemmatized, morphologically and syntactically annotated, tokenized into the character n-grams. The statistical information of the corpus is also available. We have also demonstrated that the created corpus can be effectively used in authorship attribution and author profiling tasks with supervised machine learning methods. The corpus structure also allows using it with unsupervised machine learning methods and can be used for creation of rule-based methods, as well as in different linguistic analyses.

This article analyses one element of corpus delicti of misappropriation of authorship, criminalised in Lithuanian Criminal Code Article 191 – the object (or the protected good) of a crime. The quality of Lithuanian national regulation and the scope of object of misappropriation of authorship, which affects the qualification of the crime, is evaluated by comparing it with other European Union countries' criminal legal regulation of intellectual property.

This article analyses one element of corpus delicti of misappropriation of authorship, criminalised in Lithuanian Criminal Code Article 191 – the object (or the protected good) of a crime. The quality of Lithuanian national regulation and the scope of object of misappropriation of authorship, which affects the qualification of the crime, is evaluated by comparing it with other European Union countries' criminal legal regulation of intellectual property.

This article analyses one element of corpus delicti of misappropriation of authorship, criminalised in Lithuanian Criminal Code Article 191 – the object (or the protected good) of a crime. The quality of Lithuanian national regulation and the scope of object of misappropriation of authorship, which affects the qualification of the crime, is evaluated by comparing it with other European Union countries' criminal legal regulation of intellectual property.

This article analyses one element of corpus delicti of misappropriation of authorship, criminalised in Lithuanian Criminal Code Article 191 – the object (or the protected good) of a crime. The quality of Lithuanian national regulation and the scope of object of misappropriation of authorship, which affects the qualification of the crime, is evaluated by comparing it with other European Union countries' criminal legal regulation of intellectual property.

Preliminary Material -- Abschnitt: Freilegung des Tatbestandes einer dreifachen Vollendung des Deutschen Idealismus -- Abschnitt: Konkurrierende Denkwege: Fichte – Schelling – Hegel Eine biographische Annäherung -- Abschnitt: Vorlage des Vollendungsanspruchs von Schellings Identitätssystem 1801 -- Abschnitt: Platonisch-theogonische Vertiefungen 1802 – 1804 -- Abschnitt: Einsprüche: Das Identitätssystem und seine Weiterungen. Überprüfung der Schellingkritik Fichtes 1804 – 1806 -- Abschnitt: Ende oder Vollendung? Schellings Spätphilosophie im Widerstreit -- Abschnitt: Schellings Lehre von der Wahrheit als Unverborgenheit. Wiedereinholung einer Gegenstellung -- Abschnitt: Vollendung der Vernunftwissenschaft als System? Nachfragen -- Abschnitt: Wege zum absoluten Wissen. Ein synoptischer Überblick -- Abschnitt: Problematisierung des Anfangs der Onto-theo-Logik -- Abschnitt: Fragen nach der End- und Vermittlungsfunktion der Ideenlogik -- Abschnitt: Wege und Wesen der Wahrheit. Bereitstellungen zum Widerstreit -- Abschnitt: Hegel im Widerstreit -- Abschnitt: Beiträge zum Streit über die veränderte, ungeschriebene Lehre und die populären Schriften -- Abschnitt: Richtigstellungen. Fichtes populäre Grundsätze über die Natur und das Göttliche unter Anklage -- Abschnitt: Ausblicke auf die strittige Über-, Unter- und Gleichordnung der Gottesliebe (Amor Dei intellectualis) -- Abschnitt: Apologien zu zwei verrufenen populären Schriften in ihrem Zusammenhang -- Hauptstück Das vollendete System der Wissenschaftslehre: Einleitung – Grundlegung – Ausfaltung. Nachkonstruktion der ungeschriebenen Lehre -- Abschnitt: Markierung des veränderten historischen Anknüpfungspunktes -- Abschnitt: Grundlegung der aufsteigenden Einheits- und Vernunftlehre. Eine Durchsicht (W.L: 1804-II, 10.-15. Vortrag) -- Abschnitt: Grundlegung der Wahrheitslehre -- Abschnitt: Grundlegung und Grundzüge der Erscheinungslehre -- Abschnitt: Ausfaltung der Grundlagen (Principien der Gottes-, Sitten- und Rechtslehre, 1805) -- Abschnitt: Vom Vorrang der ungeschriebenen Lehre (Zu Grundsätzen der Erlanger Wissenschaftslehre 1805) -- Abschnitt: Einsichten in das gegenwärtige Zeitalter vollendeter Nicht-Besinnung -- Quellen (mit Siglen) -- Namenverzeichnis.

Dans ce livre, la stratégie dans l?arbitrage international est abordée sous toutes ses facettes; dans un ordre chronologique tout d?abord; de la rédaction de la clause à l?exécution de la sentence arbitrale; la stratégie de chacun des acteurs est ensuite appréhendée: avocat mais aussi juriste d?entreprise, expert et arbitre. 00Le présent colloque présente par les exposés et contributions écrites, le fruit des riches expériences d?acteurs importants de l?arbitrage, expériences qui sont rarement transcrites dans un livre ou dans une présentation orale. Mieux encore, les discussions et les panels permettront un échange d?expériences et de pratiques de premier ordre. 00Il s?agit donc d?un apport unique d?abord à l?arbitrage commercial international, mais aussi à l?arbitrage en général. 0

Furthermore, in order to find out the possible obstacles for the proposal to apply criminal liability for the attempts with dolus eventualis, related norms of the Penal Code as well as the opinions of the researchers of criminal law are analysed. The analysis of Article 22 of the Lithuanian Penal Code shows that the text of the Penal Code does not preclude criminal liability for an attempt with dolus eventualis. What is more, the analysis of the theoretical discussion of the pro and contra views regarding the criminalisation of an attempt with dolus eventualis allows to conclude that dolus eventualis is compatible with the concept of attempt. Consequently, the author ascertains that there are no formal (dogmatic) reasons to object to the criminal liability for an attempt with dolus eventualis. He indicates that the discussion is of penal-political nature. The author concludes that because of the high dangerousness of the crimes committed with dolus eventualis, it is more politicaly reasonable to qualify such crimes according to the rules that are applied for intentional crimes (and, consequently, punish attempts) than to qualify them similarly to negligent crimes (and leave attempts unpunished).