Global ETD Search

601	Extrakce informací z biomedicínských textů / Information Extraction from Biomedical Texts Knoth, Petr January 2008 (has links) Recently, there has been much effort in making biomedical knowledge, typically stored in scientific articles, more accessible and interoperable. As a matter of fact, the unstructured nature of such texts makes it difficult to apply knowledge discovery and inference techniques. Annotating information units with semantic information in these texts is the first step to make the knowledge machine-analyzable. In this work, we first study methods for automatic information extraction from natural language text. Then we discuss the main benefits and disadvantages of the state-of-art information extraction systems and, as a result of this, we adopt a machine learning approach to automatically learn extraction patterns in our experiments. Unfortunately, machine learning techniques often require a huge amount of training data, which can be sometimes laborious to gather. In order to face up to this tedious problem, we investigate the concept of weakly supervised or bootstrapping techniques. Finally, we show in our experiments that our machine learning methods performed reasonably well and significantly better than the baseline. Moreover, in the weakly supervised learning task we were able to substantially bring down the amount of labeled data needed for training of the extraction system.
602	Numerical Optimization Methods based on Discrete Structure for Text Summarization and Relational Learning / 文書要約と関係学習のための離散構造に基づいた数値最適化法 Nishino, Masaaki 24 September 2014 (has links) 京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第18613号 / 情博第537号 / 新制\|\|情\|\|95(附属図書館) / 31513 / 京都大学大学院情報学研究科知能情報学専攻 / (主査)教授山本章博, 教授黒橋禎夫, 教授阿久津達也 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM Numerical Optimization Discrete Structure Relational Learning Text Summarization Natural Language Processing Machine Learning 007
603	Exploiting Vocabulary, Morphological, and Subtree Knowledge to Improve Chinese Syntactic Analysis / 語彙的、形態的、および部分木知識を用いた中国語構文解析の精度向上 Shen, Mo 23 March 2016 (has links) In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of Kyoto University's products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_standards/publications/rights/rights_link.html to learn how to obtain a License from RightsLink. / 京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第19848号 / 情博第599号 / 新制\|\|情\|\|104(附属図書館) / 32884 / 京都大学大学院情報学研究科知能情報学専攻 / (主査)准教授河原大輔, 教授黒橋禎夫, 教授鹿島久嗣 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM Natural language processing Chinese language processing Syntax Dependency parsing Morphology Word segmentation Corpus building 007
604	High-quality Knowledge Acquisition of Predicate-argument Structures for Syntactic and Semantic Analysis / 構文・意味解析のための高品質な述語項構造知識の獲得 Jin, Gongye 23 March 2016 (has links) If the author of the published paper digitizes such paper and releases it to third parties using digital media such as computer networks or CD-ROMs, the volume, number, and pages of the Journal of Natural Language Processing of the publication must be indicated in a clear manner for all viewers. / 京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第19850号 / 情博第601号 / 新制\|\|情\|\|105(附属図書館) / 32886 / 京都大学大学院情報学研究科知能情報学専攻 / (主査)准教授河原大輔, 教授黒橋禎夫, 教授河原達也 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM natural language processing knowledge acquisition semantic role labeling case frame construction Chinese language processing 007
605	Neural Approaches for Syntactic and Semantic Analysis / 構文・意味解析に対するニューラルネットワークを利用した手法 Kurita, Shuhei 25 March 2019 (has links) 京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第21911号 / 情博第694号 / 新制\|\|情\|\|119(附属図書館) / 京都大学大学院情報学研究科知能情報学専攻 / (主査)教授黒橋禎夫, 教授鹿島久嗣, 准教授河原大輔 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM Natural Language Processing Syntactic Analysis Semantic Analysis Dependency Parsing Neural Network Deep Reinforcement Learning 007
606	Anchoring Events to the Time Axis toward Storyline Construction / ストーリーライン生成のための時間と事象情報の対応付け Sakaguchi, Tomohiro 25 March 2019 (has links) 付記する学位プログラム名: デザイン学大学院連携プログラム / 京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第21912号 / 情博第695号 / 新制\|\|情\|\|119(附属図書館) / 京都大学大学院情報学研究科知能情報学専攻 / (主査)教授黒橋禎夫, 教授西田豊明, 教授楠見孝 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM Natural Language Processing Storyline Timeline Time Axis Temporal Expression Temporal Corpus Construction 007
607	Automatic Detection of Section Title and Prose Text in HTML Documents Using Unsupervised and Supervised Learning Mysore Gopinath, Abhijith Athreya January 2018 (has links) No description available. Computer Science HTML Structure Analysis Natural Language Processing Topicality Detection in HTML Machine Learning Privacy Policies
608	QED: A Fact Verification and Evidence Support System Luken, Jackson 28 August 2019 (has links) No description available. Computer Science FEVER Natural Language Processing Fact Verification Computer Science Machine Learning
609	Unsupervised Interpretable Feature Extraction for Binary Executables using LIBCAISE Greer, Jeremiah 21 October 2019 (has links) No description available. Computer Science Natural Language Processing Cybersecurity Program Analysis Software Assembly Unsupervised
610	Natural Language Processing, Statistical Inference, and American Foreign Policy Lauretig, Adam M. 06 November 2019 (has links) No description available. Political Science Political Science Text as Data Natural Language Processing Variational Bayesian Word Embeddings Securitization

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