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Consistency Checking of Relations Extracted from Text
Stejskal, Jakub ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This bachelor thesis is dedicated to mechanical techniques that are used in the natural language processing and information extraction from particular text. It is approaching the general methods that starting to process the raw text and it continues to the relations extraction from processed language constructs, moreover it provides options for the use of obtained relational data which can be seen for example in the project DBpedia. Another milestone of the described bachelor thesis is the design and implementation of an automated system for extracting information about entities, which do not have their own article on the English version of Wikipedia. Thesis also presents algorithms developed for the extraction of entities with their own name, the verification of the articles ‘existence of the extracted entities and finally the actual extraction of information about individual entities, which can be used during the information consistency checking. In the end, it can be seen the results and suggestions for further development of the created system.
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Using Word-Association Games for Language Teaching
Babača, Martin ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis explores the use of the word associative game Codenames in language learning, especially learning English as the second language. In order to achieve the goal, it addresses the problem of explaining semantic relations among words. The explanations take advantage of word sketches, provided by the Sketch Engine tool, and of word descriptions available in specialized English dictionaries. The implemented extension of the previously created engine for playing Codenames enables explaining the automatically suggested relations among the hint words and intended words in each game, motivating users for further exploration of the studied language.
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Using Word-Association Games for Language Teaching
Babača, Martin ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis explores the use of the word associative game Codenames in language learning, especially learning English as the second language. In order to achieve the goal, it addresses the problem of explaining semantic relations among words. The explanations take advantage of word sketches, provided by the Sketch Engine tool, and of word descriptions available in specialized English dictionaries. The implemented extension of the previously created engine for playing Codenames enables explaining the automatically suggested relations among the hint words and intended words in each game, motivating users for further exploration of the studied language.
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Named Entity Disambiguation in Slovak
Križan, Samuel ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
Thesis deals with the topic of named entity recognition and disambiguation. A basic system was created which includes all prequisitions necessary for named entity disambiguation in Slovak language. Part of the system is building of a knowledge base out of an export from Slovak Wikipedia. This was subsequently compared to knowledge base obtained from Wikidata, which revealed that the main contribution of Wikipedia knowledge base for Slovak language is greater coverage of entities with link to Slovak Wikipedia and better determination of entity classes. Apart from that, morfological dictionary of KNOT@FIT research group was updated, which yielded an improvement by 33-39 %. This work presumes possible utilization in relation to system extention by a disambiguation modul and enhancement of alternative names coverage.
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Fast Adaptation of Codenames Computer Assistant for New Languages
Jareš, Petr ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis extends a system of an artificial player of a word-association game Codenames to easy addition of support for new languages. The system is able to play Codenames in roles as a guessing player, a clue giver or, by their combination a Duet version player. For analysis of different languages a neural toolkit Stanza was used, which is language independent and enables automated processing of many languages. It was mainly about lemmatization and part of speech tagging for selection of clues in the game. For evaluation of word associations were several models tested, where the best results had a method Pointwise Mutual Information and predictive model fastText. The system supports playing Codenames in 36 languages comprising 8 different alphabets.
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Chatbot for Learning English
Meluš, Matej ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
Goal of this thesis was to create conversational system whose purpose will be improving users foreign language level. System is composed of four main subsystems, where each one has standalone funcionality. Retrieving data used for training purposes, conversation, grammar correction of users inputs and exerises. Created system was tested by 26 users who scored system from possitive to neutral. 80.8% users considered created system to be usable in process of learning English.
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Sentiment Analysis for the Field of Computer Games
Balajka, Pavel ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
The thesis deals with sentiment analysis extracted from opinions of users on social \mbox{networks}. It describes a general system that was created for presented purpose and specialised on the field of strategic computer games. In particular we unravel the problems of acquiring data from social networks, sentiment analysis and results presentation to the user. We mention particular ways of text processing e.g. tokenization and unnecessary word filtration, for purpose of more effective sentiment analysis and we mention machine learning methods e.g. Decision Trees and Naive Bayes, and their usage. Next we describe design of desired system and its implementation with chosen parts and methods. In the end we compare results of tests of sentiment analyzator done under various circumstances.
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Semantic Similarity of Texts
Hajdin, Martin ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This paper deals with the determination of the semantic similarity of texts focusing on categorization of web documents in this case bookmarks. The part of the process is a theoretical overview of methods for system implementation. It describes the design and implementation of the various methods used in the system, too. This paper also deals with the evaluation of various methods where the chosen method are tested according to specified criteria.
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Text Messages Manager for Android
Bloudíček, Jan ; Otrusina, Lubomír (referee) ; Kouřil, Jan (advisor)
This thesis describes a creation of an application for mobile devices which is designed to manage short text messages and electronic mail on the Android platform. Text messages can be sent also through the SMS gateways. This work explains basic concepts and technologies for developing applications for Android. It describes the analysis phase, design of architecture and user interface, implementation and testing of the program.
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