京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第22806号 / 情博第736号 / 新制||情||126(附属図書館) / 京都大学大学院情報学研究科社会情報学専攻 / (主査)教授 吉川 正俊, 教授 森 信介, 教授 田島 敬史 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM

This thesis explores approaches for extracting company mentions from financial newsarticles that carry a central role in the news. The thesis introduces the task of salient named entity extraction (SNEE): extract all salient named entity mentions in a text document. Moreover, a neural sequence labeling approach is explored to address the SNEE task in an end-to-end fashion, both using a single-task and a multi-task learning setup. In order to train the models, a new procedure for automatically creating SNEE annotations for an existing news article corpus is explored. The neural sequence labeling approaches are compared against a two-stage approach utilizing NLP parsers, a knowledge base and a salience classifier. Textual features inspired from related work in salient entity detection are evaluated to determine what combination of features results in the highest performance on the SNEE task when used by a salience classifier. The experiments show that the difference in performance between the two-stage approach and the best performing sequence labeling approach is marginal, demonstrating the potential of the end-to-end sequence labeling approach on the SNEE task.

In the context of search, it may be advantageous in some use-cases to have documents saved in a graph database rather than a document-orientated database. Graph databases are able to model relationships between objects, in this case documents, in ways which allow for efficient retrieval, as well as search queries that are slightly more specific or complex. This report will attempt to explore the possibilities of storing an existing set of documents into a graph database. A Named Entity Recognizer was used on a set of news articles in order to extract entities from each news article’s body of text. News articles that contain the same entities are then connected to each other in the graph. Ideas to improve this entity extraction are also explored. The method of evaluation that was utilized in this report proved not to be ideal for this task in that only a relative measure was given, not an absolute one. As such, no absolute answer with regards to the quality of the method can be presented. It is clear that improvements can be made, and the result should be subject to further study. / I ett sökkontext kan det vara födelaktigt att i några användarscenarion utgå från dokument lagrade i en grafdatabas gentemot en dokument-orienterad databas. Grafdatabaser kan modellera förhållanden mellan objekt, som i detta fall är dokument, på ett sätt som ökar effektiviteten för vissa mer specifika eller komplexa sökfrågor. Denna rapport utforskar möjligheterna i att lagra existerande dokument i en grafdatabas. En Named Entity Recognizer används för att extrahera entiter från en stor samling nyhetsartiklar. Nyhetsartiklar som innehåller samma entiteter är sedan kopplade till varandra i grafen. Dessutom undersöks möjligheter till att förbättra extraheringen av entiteter. Evalueringsmetoden som användes visade sig mindre än ideal, då endast en relativ snarare än absolut bedömning kan göras av den slutgiltiga grafen. Därav kan inget slutgiltigt svar ges angående grafens och metodens kvalitet, men resultatet bör vara av intresse för framtida undersökningar.

This legal study approaches the problems of legal entity’s participant’s civil liability under the legal entity’s obligation. In the first part of this work a historical evolution of a legal entity and its participant is being revealed, author introduces to the variety of the theoretical doctrines of a legal entity, a conception and main features of legal entity are presented. Hereafter, a conception of a juridical person’s participant is analyzed, also the peculiarities of the participant’s legal status is passed in review in light of the limited and unlimited liability. This study also presents general conditions upon which the liability of legal person’s participant may arose. Thereinafter the problematical aspects of the limited liability juridical person’s participant liability under the juridical persons’ obligation are being discussed, attention is paid to the advantages and drawbacks of the limited liability and also to the doctrine of piercing the corporate veil in Lithuanian and foreign jurisprudence and judiciary practice. This work also reveals the positive and negative features of unlimited liability in the context of social and economical life, brings up problems concerning unlimited liability legal entity’s participant liability under legal entity’s obligation in exaction, insolvency and liquidation procedures. Finally, conclusions and suggestions to the legislator and judicial bench are being brought up.

Most text mining techniques have been proposed only for English text, and even here, most research has been conducted on specific texts related to special contexts within the English language, such as politics, medicine and crime. In contrast, although Arabic is a widely spoken language, few mining tools have been developed to process Arabic text, and some Arabic domains have not been studied at all. In fact, Arabic is a language with a very complex morphology because it is highly inflectional, and therefore, dealing with texts written in Arabic is highly complicated. This research studies the crime domain in the Arabic language, exploiting unstructured text using text mining techniques. Developing a system for extracting important information from crime reports would be useful for police investigators, for accelerating the investigative process (instead of reading entire reports) as well as for conducting further or wider analyses. We propose the Crime Profiling System (CPS) to extract crime-related information (crime type, crime location and nationality of persons involved in the event), automatically construct dictionaries for the existing information, cluster crime documents based on certain attributes and utilize visualisation techniques to assist in crime data analysis. The proposed information extraction approach is novel, and it relies on computational linguistic techniques to identify the abovementioned information, i.e. without using predefined dictionaries (e.g. lists of location names) and annotated corpus. The language used in crime reporting is studied to identify patterns of interest using a corpus-based approach. Frequency analysis, collocation analysis and concordance analysis are used to perform the syntactic analysis in order to discover the local grammar. Moreover, the Self Organising Map (SOM) approach is adopted in order to perform the clustering and visualisation tasks for crime documents based on crime type, location or nationality. This clustering technique is improved because only refined data containing meaningful keywords extracted through the information extraction process are inputted into it, i.e. the data is cleaned by removing noise. As a result, a huge reduction in the quantity of data fed into the SOM is obtained, consequently, saving memory, data loading time and the execution time needed to perform the clustering. Therefore, the computation of the SOM is accelerated. Finally, the quantization error is reduced, which leads to high quality clustering. The outcome of the clustering stage is also visualised and the system is able to provide statistical information in the form of graphs and tables about crimes committed within certain periods of time and within a particular area.

published_or_final_version / abstract / Computer Science / Master / Master of Philosophy

According to the Constitution of South Africa, the government is required to make all the infor-mation in the ten indigenous languages of South Africa (excluding English), available to the public. For this reason, the government made the information, that already existed for these ten languages, available to the public and an effort is also been made to increase the amount of resources available in these languages (Groenewald & Du Plooy, 2010). This release of infor-mation further helps to implement Krauwer‟s (2003) idea that there is an inventory for the mini-mal number of language-related resources required for a language to be competitive at the level of research and teaching. This inventory is known as the "Basic Language Resource Kit" (BLARK). Since most of the languages in South Africa are resource scarce, it is of the best in-terest for the cultural growth of the country, that each of the indigenous South African languages develops their own BLARK. In Chapter 1, the need for the development of an implementable named entity recogniser (NER) for Afrikaans is discussed by first referring to the Constitution of South Africa’s (Republic of South Africa, 2003) language policy. Secondly, the guidelines of BLARK (Krauwer, 2003) are discussed, which is followed by a discussion of an audit that focuses on the number of re-sources and the distribution of human language technology for all eleven South African languages (Sharma Grover, Van Huyssteen & Pretorius, 2010). In respect of an audit conducted by Sharma Grover et al. (2010), it was established that there is a shortage of text-based tools for Afrikaans. This study focuses on this need for text-based tools, by focusing on the develop-ment of a NER for Afrikaans. In Chapter 2 a description is given on what an entity and a named entity is. Later in the chapter the process of technology recycling is explained, by referring to other studies where the idea of technology recycling has been applied successfully (Rayner et al., 1997). Lastly, an analysis is done on the differences that may occur between Afrikaans and Dutch named entities. These differences are divided into three categories, namely: identical cognates, non-identical cognates and unrelated entities. Chapter 3 begins with a description of Frog (van den Bosch et al, 2007), the Dutch NER used in this study, and the functions and operation of its NER-component. This is followed by a description of the Afrikaans-to-Dutch-converter (A2DC) (Van Huyssteen & Pilon, 2009) and finally the various experiments that were completed, are explained. The study consists of six experiments, the first of which was to determine the results of Frog on Dutch data. The second experiment evaluated the effectiveness of Frog on unchanged (raw) Afrikaans data. The following two experiments evaluated the results of Frog on “Dutched” Afrikaans data. The last two experiments evaluated the effectiveness of Frog on raw and “Dutched” Afrikaans data with the addition of gazetteers as part of the pre-processing step. In conclusion, a summary is given with regards to the comparisons between the NER for Afri-kaans that was developed in this study, and the NER-component that Puttkammer (2006) used in his tokeniser. Finally a few suggestions for future research are proposed. / MA (Applied Language and Literary Studies), North-West University, Vaal Triangle Campus, 2013

anglicky This thesis analyzes position of trade unions as legal entities, i.e. trying to describe the features of a trade union as a legal entity and its position in the legal system. Study of trade unions from this point of view hasn't been explored too much, trade unions are traditionally seen through their functions as a subject of the social dialogue, yet the basic question of what a trade union actually is in terms of the type of legal entity, is not clear. Qualification of trade union as a legal entity is based on several aspects, each of whom is dedicated to one part of this work. The first chapter deals with definition of collective labor law, which is closely linked with a term trade union. Next part is relatively extensive historical excursion, which allows a better understanding of roots of the current understanding of this topic. Another important aspect of the legal regulation are international instruments, which protect the right of association and concretize particular aspects of this area. This protection is also reflected in the constitution of the Czech Republic. Recently new Civil Code, which has become a key standard for the regulation of trade union organizations, came into force and it is very important to understand the legislative process of this act in which delegates of...

77 6 The topic of this thesis is one of the esential segments of corporate criminal lability, sanctioning of legal persons. Corporate criminal lability was incorporated to czech legal order by by the Act No. 418/2011 Sb., Act on Criminal Liability of Legal Entities and Proceedings Against Them (hereinafter as "the Act"), that came into force on 1. 1. 2012 and ever since penal sanctions can be imposed on legal persons. Main goals of the thesis are to introduce the theme to readers and critical evaluation of sanctioning in the Act. The first chapter deals with general questions of corporate criminal lability and explanation of basic condions of the criminal lability. There are also mentioned the main issues of possibility of attribution of a criminal act to a legal entity. The second charter is dedicated to sanctioning of legal persons in general. The chapter analyzes basic differences between sanctioning of legal persons and natural persons, that cause modification of purpose and principles of sanctioning of legal persons. It also covers different approaches in variability of sanctions in legal orders of european countries. The third, most important, chapter analyzes each particular sanction under the Act. It points out defects of the sanctioning and there are also mentioned critical comments of legal...

Resumé Problems associated with awarding of public procurement by sector contracting entities The topic of this Dissertation is presentation of certain problems associated with awarding of public procurement by sector contracting entities. To begin with, basic issues of tenders and public procurement procedures are presented in a legal framework, referring not only to the Laws of the Czech Republic but also to the Laws of the European Union. This part includes definitions of basic terms, especially the public procurement concept and principles of applicable legislation. A short historical context concerning development of the legal norm after 1989 is provided. In the actual text, appropriate attention is paid to differentiation of public contracting entities with an emphasis on the content and development of the term "sector contracting entity". The definition of sector contracting entities is a key term of this Dissertation. The process of awarding of public procurement by a sector contracting entity is subject to numerous legal exemptions, as well as some specific law regulations. These exemptions and law regulations are described and thoroughly analysed in the Dissertation. In relevant cases, a comparison between the existing laws and legislation amendments enacted as of April 1, 2012 is made, completed...