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.

In this final thesis author analyses problematic aspects of legitimate interest as a lawful basis for processing personal data, its conditions of legitimacy and proper application in practice. Therefore, author analyses the purpose of the legitimate interest, the essential conditions of legitimacy for this lawful basis and its exclusivity from other lawful bases for the processing of personal data. Moreover, author provides a definition of legitimate interest as a lawful basis for processing of personal data. Author analyses stages of the assessment of legitimate interests, the most important evaluation criterions and the practical significance of the results. Also, the author presents relevant case law and examines hypothetical situations, reveals the significance of the necessity and the close connection with the principle of data minimization, the meaning of the balancing test and the proportionality of the impact on the legitimate interests and fundamental rights and freedoms of data subjects. In this final thesis legitimate interest was compared with other lawful bases for the processing of personal data in order to reveal the advantages and disadvantages of legitimate interest. Lastly, in this final thesis author presents other insights into the shortcomings of the legitimate interest as a lawful basis, which could have practical implications for data controllers, who are choosing to process personal data on this lawful basis, and for legislators when considering legislative amendments or new legislation.

In this final thesis author analyses problematic aspects of legitimate interest as a lawful basis for processing personal data, its conditions of legitimacy and proper application in practice. Therefore, author analyses the purpose of the legitimate interest, the essential conditions of legitimacy for this lawful basis and its exclusivity from other lawful bases for the processing of personal data. Moreover, author provides a definition of legitimate interest as a lawful basis for processing of personal data. Author analyses stages of the assessment of legitimate interests, the most important evaluation criterions and the practical significance of the results. Also, the author presents relevant case law and examines hypothetical situations, reveals the significance of the necessity and the close connection with the principle of data minimization, the meaning of the balancing test and the proportionality of the impact on the legitimate interests and fundamental rights and freedoms of data subjects. In this final thesis legitimate interest was compared with other lawful bases for the processing of personal data in order to reveal the advantages and disadvantages of legitimate interest. Lastly, in this final thesis author presents other insights into the shortcomings of the legitimate interest as a lawful basis, which could have practical implications for data controllers, who are choosing to process personal data on this lawful basis, and for legislators when considering legislative amendments or new legislation.

In doctoral thesis "The limits of judicial commercial contracts content control" the author analyses the grounds of judicial control of commercial contract content executed in order to ensure the balance of parties' rights and obligations, as well, the criteria limiting such control, defined in legislation, case law, soft law and other documents. The author analyses the conception of commercial contractual relations, as well, the conception of businessman and weaker party of commercial contractual relation, different approaches towards such judicial control defined in contract law theories. The research includes three instruments of commercial contractual content control used in cases of ensuring the balance of interests chosen by the author – reduction of penalties, gross disparity and unfair contract terms control. After the conclusion that some of the national Lithuanian legislation and rules defined in case law can violate the principles of legal certainty and predictability, the author provides several suggestions for the improvement.

In doctoral thesis "The limits of judicial commercial contracts content control" the author analyses the grounds of judicial control of commercial contract content executed in order to ensure the balance of parties' rights and obligations, as well, the criteria limiting such control, defined in legislation, case law, soft law and other documents. The author analyses the conception of commercial contractual relations, as well, the conception of businessman and weaker party of commercial contractual relation, different approaches towards such judicial control defined in contract law theories. The research includes three instruments of commercial contractual content control used in cases of ensuring the balance of interests chosen by the author – reduction of penalties, gross disparity and unfair contract terms control. After the conclusion that some of the national Lithuanian legislation and rules defined in case law can violate the principles of legal certainty and predictability, the author provides several suggestions for the improvement.

Summary Fixed-term Employment Contract in the Context of Other Employment Contracts A right to work is one of the basic human rights. After Lithuania joined the European Union, it's legal system became inseperable part of Lithuania's legal system, therefore the author of this thesis is comparing the possibilities for formation, pursuance and discontinuation of temporary job contract in accordance with acting legal regulations, emphasising the restrictions, which were not present until Labour Code of Republic of Lithuania came to act. Thus, the author gives the analysis if the provisions of directive, regulating the work by temporary job contracts, are implemented into the Lithuanian legal system. The thesis concentrates mainly on temporary job contract, it's formation possibilities and laws, prohibiting formation of such contract. In order to display the pecularities of temporary job contract, the author reviews necessary contract preconditions not only for temporary job contracts, but other job contracts as well, including temporary job, seasonal job, avocation, settlement for additional job. Author points out the guarantees and restrictions, which originate when a temporary job contract is signed instead of usual job contract. The author pays great attention to job contracts where the contractor is the head of a company, and emphasises the basis of discontinuation of such contracts.

Summary Fixed-term Employment Contract in the Context of Other Employment Contracts A right to work is one of the basic human rights. After Lithuania joined the European Union, it's legal system became inseperable part of Lithuania's legal system, therefore the author of this thesis is comparing the possibilities for formation, pursuance and discontinuation of temporary job contract in accordance with acting legal regulations, emphasising the restrictions, which were not present until Labour Code of Republic of Lithuania came to act. Thus, the author gives the analysis if the provisions of directive, regulating the work by temporary job contracts, are implemented into the Lithuanian legal system. The thesis concentrates mainly on temporary job contract, it's formation possibilities and laws, prohibiting formation of such contract. In order to display the pecularities of temporary job contract, the author reviews necessary contract preconditions not only for temporary job contracts, but other job contracts as well, including temporary job, seasonal job, avocation, settlement for additional job. Author points out the guarantees and restrictions, which originate when a temporary job contract is signed instead of usual job contract. The author pays great attention to job contracts where the contractor is the head of a company, and emphasises the basis of discontinuation of such contracts.