UCLA UCLA Electronic Theses and Dissertations

Total Page:16

File Type:pdf, Size:1020Kb

UCLA UCLA Electronic Theses and Dissertations UCLA UCLA Electronic Theses and Dissertations Title Multi-relational Representation Learning and Knowledge Acquisition Permalink https://escholarship.org/uc/item/373677v6 Author Chen, Muhao Publication Date 2019 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA Los Angeles Multi-relational Representation Learning and Knowledge Acquisition A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Computer Science by Muhao Chen 2019 c Copyright by Muhao Chen 2019 ABSTRACT OF THE DISSERTATION Multi-relational Representation Learning and Knowledge Acquisition by Muhao Chen Doctor of Philosophy in Computer Science University of California, Los Angeles, 2019 Professor Carlo Zaniolo, Chair Multi-relational representation learning methods encode entities or concepts of a knowledge graph in a continuous and low-dimensional vector space, where the relational inferences of entities (con- cepts) are modeled as some simple vector algebras. Despite such knowledge representations being crucial to a wide range of knowledge-driven applications, state-of-the-art methods are limited to learning embeddings for simple relation facts in a single knowledge graph. In this dissertation, we pursue the goal of comprehensively capturing the multifaceted relational knowledge in various types of knowledge bases, and towards that we contribute on three fronts: (i) we introduce the first multi-relational representation learning framework that learns to transfer embeddings across multiple knowledge bases; (ii) we propose techniques for preserving relational facts with complex properties in the embedding space, including those enforce relational properties, form hierarchies, or endowed uncertainty; (iii) we investigate large-scale relational learning based on other modali- ties of data, with the aim of acquiring knowledge to enrich the knowledge bases. Each of these three research problems presents a series of key challenges which we address. Thus, for transferred embeddings, we develop joint learning of relational structure encoders that confront the heterogeneity of contents in knowledge graphs, together with diverse types of align- ment models that learn to transfer on the basis of simple, hierarchical or fuzzy alignment infor- mation. In addition, we extend the joint learning framework with semi-supervised co-training of entity descriptions, and proactive score propagation for fuzzy alignment, so as to conquer the sce- narios where alignment information is limitedly provided. To capture complex relation facts, we ii focus first on the relational properties that cause non-linearity in embedding structures, for which we leverage a non-linear component-specific mappings of embeddings to eliminate the conflicts, and strengthens the learning process with hierarchical regularization. For uncertain relation facts, we preserve the uncertainty by utilizing Probablistic Soft Logic to guide the non-linear regressor that is jointly trained with the structure encoder. We further study the support of relational learn- ing based on sequence data. Our model proposes generic neural sequence pair models to support large-scale relation detection, in which we incorporate different sequence encoders for heteroge- neous data such as structured articles, amino acid sequences, and lexicographic knowledge. The methods proposed in this dissertation extend the application of multi-relational embed- dings, and improve a wide spectrum of applications in different domains. These include knowl- edge alignment, monolingual and cross-lingual knowledge graph completion, semantic search, entity typing, paraphrase identification, uncertain relation prediction, protein-protein interaction prediction, protein binding affinity estimation, single-cell RNA-sequence imputation, and Web- scale sub-article matching. iii The dissertation of Muhao Chen is approved. Junghoo Cho Yizhou Sun Yingnian Wu Carlo Zaniolo, Committee Chair University of California, Los Angeles 2019 iv To life. v Table of Contents 1 Introduction ::::::::::::::::::::::::::::::::::::::: 1 1.1 Motivation . .1 1.2 Challenges . .3 1.3 Thesis Contributions . .5 1.4 Thesis Overview . .7 2 Background ::::::::::::::::::::::::::::::::::::::: 11 2.1 Multi-relational Representation Learning . 11 2.2 Knowledge Bases and Knowledge Graphs . 13 2.2.1 Monolingual and Multilingual Knowledge . 13 2.2.2 Ontology and Instance-level Knowledge Graphs . 13 2.2.3 Comprehensive Properties of Relation Facts . 14 2.2.4 Sequence Data As Side Information . 16 2.3 Neural Sequence Models . 17 2.3.1 The Convolution Layer with Pooling . 17 2.3.2 GRU and Residual GRU . 17 2.3.3 Self-attentive Encoder . 19 2.3.4 Linear Bag-of-words . 20 vi 3 Transfer Embeddings of Multilingual Knowledge Graphs :::::::::::::: 21 3.1 Introduction . 21 3.2 Related Work . 24 3.3 The Vanilla Multilingual Knowledge Graph Embeddings . 25 3.3.1 Multilingual Knowledge Graphs . 25 3.3.2 Knowledge Model . 26 3.3.3 Alignment Model . 26 3.3.4 Variants of MTransE ............................ 28 3.4 Cross-lingual Entity Matching . 30 3.4.1 Examples of Knowledge Alignment . 33 3.5 Semi-supervised Co-training . 35 3.5.1 Iterative Co-training . 37 3.6 Semi-supervised and Zero-shot Entity Alignment . 38 3.6.1 Cross-lingual Entity Alignment . 39 3.6.2 Zero-shot Alignment . 41 3.6.3 Cross-lingual KG Completion . 42 3.7 Conclusion . 43 4 Transfer Embeddings with Complex Alignment Information :::::::::::: 44 4.1 Introduction . 44 4.1.1 Ontology-level Concepts and Instance-level Entities . 44 4.1.2 Single-cell RNA-sequence Data As Fuzzy Alignment . 47 4.2 Joint Embedding of Ontological Concepts and Instance-view Entities . 48 4.2.1 Formalization of Two-view Knowledge Bases . 48 4.2.2 Alignment Model with Hierarchical Grouping Techniques . 49 vii 4.2.3 Knowledge Model . 52 4.2.4 Joint Training on Two Views . 55 4.2.5 Variants of JOIE and Complexity . 55 4.3 Entity Typing and Triple Completion . 56 4.3.1 Datasets . 56 4.3.2 Triple Completion . 57 4.3.3 Entity Typing . 59 4.3.4 Case Study . 61 4.4 Ablation Study . 64 4.4.1 Dimensionality . 65 4.4.2 Sufficiency of Type Information . 66 4.4.3 Effects of Negative Sampling . 67 4.5 Transfer Gene Knowledge Based on Fuzzy Alignment . 68 4.6 Cell Clustering . 70 4.6.1 Dataset . 70 4.6.2 Evaluation . 71 4.7 Conclusion . 72 5 Learning to Capture Relational Properties :::::::::::::::::::::: 74 5.1 Introduction . 74 5.2 Embedding Ontology Graphs With Complex Relational Properties . 76 5.2.1 Preliminary . 76 5.2.2 Modeling . 76 5.2.3 Learning Process . 81 5.3 Experiments . 82 viii 5.3.1 Relation Prediction . 82 5.3.2 Relation Verification . 85 5.3.3 Case Study . 87 5.4 Conclusion . 88 6 Embedding Uncertain Knowledge Graphs :::::::::::::::::::::: 89 6.1 Introduction . 89 6.2 Related Work . 91 6.3 Problem Definition . 92 6.4 Modeling . 92 6.4.1 Modeling Plausibility for Relation Facts . 93 6.4.2 Inferring Confidence Scores for Unseen Relation Facts . 94 6.4.3 Embedding Uncertain Knowledge Graphs . 97 6.4.4 Model variants . 98 6.4.5 Confidence score prediction . 100 6.5 Experiments . 100 6.5.1 Datasets . 100 6.5.2 Model Configurations . 103 6.5.3 Confidence Prediction . 104 6.5.4 Relation Fact Ranking . 105 6.5.5 Relation Fact Classification . 107 6.6 Conclusion and Future Work . 108 7 Large-scale Sub-article Relation Learning :::::::::::::::::::::: 109 7.1 Introduction . 109 ix 7.2 Related Work . 112 7.3 Modeling . 113 7.3.1 Preliminaries . 113 7.3.2 Document Encoders . 114 7.3.3 Explicit Features . 115 7.3.4 Training . 116 7.4 Experiments . 117 7.4.1 Evaluation . 119 7.4.2 Mining Sub-articles from the Entire English Wikipedia . 123 7.5 Conclusion and Future Work . 124 8 Multifaceted Protein-Protein Interaction Learning :::::::::::::::::: 125 8.1.
Recommended publications
  • Insert Your Title Here
    Neural Article Pair Modeling for Wikipedia Sub-article Matching? Muhao Chen1, Changping Meng2, Gang Huang3, and Carlo Zaniolo1 1 University of California, Los Angeles, CA, USA fmuhaochen, [email protected] 2 Purdue University, West Lafayette, IN, USA [email protected] 3 Google, Mountain View, CA, USA [email protected] Abstract. Nowadays, editors tend to separate different subtopics of a long Wiki- pedia article into multiple sub-articles. This separation seeks to improve human readability. However, it also has a deleterious effect on many Wikipedia-based tasks that rely on the article-as-concept assumption, which requires each entity (or concept) to be described solely by one article. This underlying assumption significantly simplifies knowledge representation and extraction, and it is vi- tal to many existing technologies such as automated knowledge base construc- tion, cross-lingual knowledge alignment, semantic search and data lineage of Wikipedia entities. In this paper we provide an approach to match the scattered sub-articles back to their corresponding main-articles, with the intent of facilitat- ing automated Wikipedia curation and processing. The proposed model adopts a hierarchical learning structure that combines multiple variants of neural docu- ment pair encoders with a comprehensive set of explicit features. A large crowd- sourced dataset is created to support the evaluation and feature extraction for the task. Based on the large dataset, the proposed model achieves promising results of cross-validation and significantly outperforms previous approaches. Large-scale serving on the entire English Wikipedia also proves the practicability and scala- bility of the proposed model by effectively extracting a vast collection of newly paired main and sub-articles.
    [Show full text]
  • Panama Country Report BTI 2018
    BTI 2018 Country Report Panama This report is part of the Bertelsmann Stiftung’s Transformation Index (BTI) 2018. It covers the period from February 1, 2015 to January 31, 2017. The BTI assesses the transformation toward democracy and a market economy as well as the quality of political management in 129 countries. More on the BTI at http://www.bti-project.org. Please cite as follows: Bertelsmann Stiftung, BTI 2018 Country Report — Panama. Gütersloh: Bertelsmann Stiftung, 2018. This work is licensed under a Creative Commons Attribution 4.0 International License. Contact Bertelsmann Stiftung Carl-Bertelsmann-Strasse 256 33111 Gütersloh Germany Sabine Donner Phone +49 5241 81 81501 [email protected] Hauke Hartmann Phone +49 5241 81 81389 [email protected] Robert Schwarz Phone +49 5241 81 81402 [email protected] Sabine Steinkamp Phone +49 5241 81 81507 [email protected] BTI 2018 | Panama 3 Key Indicators Population M 4.0 HDI 0.788 GDP p.c., PPP $ 23015 Pop. growth1 % p.a. 1.6 HDI rank of 188 60 Gini Index 51.0 Life expectancy years 77.8 UN Education Index 0.708 Poverty3 % 7.0 Urban population % 66.9 Gender inequality2 0.457 Aid per capita $ 2.2 Sources (as of October 2017): The World Bank, World Development Indicators 2017 | UNDP, Human Development Report 2016. Footnotes: (1) Average annual growth rate. (2) Gender Inequality Index (GII). (3) Percentage of population living on less than $3.20 a day at 2011 international prices. Executive Summary The election and the beginning of the mandate of Juan Carlos Varela in July 2014 meant a return to political normality for the country, which had experienced a previous government under President Martinelli (2009-2014) characterized by a high perception of corruption and authoritarian tendencies in governance.
    [Show full text]
  • Panama 2019 Human Rights Report
    PANAMA 2019 HUMAN RIGHTS REPORT EXECUTIVE SUMMARY Panama is a multiparty constitutional democracy. In May voters chose Laurentino Cortizo Cohen as president in national elections that international and domestic observers considered generally free and fair. The country has no military forces. The Panama National Police (PNP) is principally responsible for internal law enforcement and public order, while additional security forces are responsible for border control and aero naval security. Civilian authorities maintained effective control over the security forces. Significant human rights issues included: harsh prison conditions; restrictions on free expression, the press, and the internet, including through censorship and criminal libel lawsuits; and forced child labor. The law provides criminal penalties for corruption by officials, but the government generally did not implement the law effectively. Section 1. Respect for the Integrity of the Person, Including Freedom from: a. Arbitrary Deprivation of Life and Other Unlawful or Politically Motivated Killings There were no reports the government or its agents committed arbitrary or unlawful killings. b. Disappearance There were no reports of disappearances by or on behalf of government authorities. c. Torture and Other Cruel, Inhuman, or Degrading Treatment or Punishment The constitution prohibits such practices, and there were no reports that government officials employed them. Prison and Detention Center Conditions PANAMA 2 Prison conditions remained harsh, primarily due to overcrowding, a shortage of prison guards, and inadequate medical services and sanitary conditions. Physical Conditions: As of September the prison system, with an intended capacity of 14,946 inmates, held 17,360 prisoners. Pretrial detainees shared cells with convicted prisoners due to space constraints.
    [Show full text]
  • Tip of the Iceberg: Religious Extremist Funders Against Human Rights for Sexuality and Reproductive Health in Europe 2009 - 2018
    TIP OF THE ICEBERG Religious Extremist Funders against Human Rights for Sexuality and Reproductive Health in Europe 2009 - 2018 TIP OF THE ICEBERG Religious Extremist Funders against Human Rights for Sexuality and Reproductive Health in Europe 2009 – 2018 ISBN: 978 2 93102920 6 Tip of the Iceberg: Religious Extremist Funders against Human Rights for Sexuality and Reproductive Health in Europe 2009 - 2018 Written by Neil Datta, Secretary of the European Parliamentary Forum for Sexual and Reproductive Rights. Brussels, June 2021 Copyright © EPF 2021 All Rights Reserved. The contents of this document cannot be reproduced without prior permission of the author. EPF is a network of members of parliaments from across Europe who are committed to protecting the sexual and reproductive health of the world’s most vulnerable people, both at home and overseas. We believe that women should always have the right to decide upon the number of children they wish to have, and should never be denied the education or other means to achieve this that they are entitled to. Find out more on epfweb.org and by following @EPF_SRR on Twitter. 2 TIP OF THE ICEBERG Religious Extremist Funders against Human Rights for Sexuality and Reproductive Health in Europe 2009 – 2018 Tip of the Iceberg is the first attempt understand the anti-gender mobilisation in Europe through the perspective of their funding base. This report assembles financial data covering a ten year period of over 50 anti-gender actors operating in Europe. It then takes a deeper look at how religious extremists generate this funding to roll back human rights in sexuality and reproduction.
    [Show full text]
  • Gay Happiness Monitor --- Results Overview from a Global Survey on Perceived Gay-Related Public Opinion and Gay Well-Being
    RESULTS OVERVIEW FROM A GLOBAL SURVEY ON PERCEIVED GAY-RELATED PUBLIC OPINION AND GAY WELL-BEING 2015 PLEASE CITE AS: Richard Lemke, Tobias Tornow & PlanetRomeo.com (2015). Gay Happiness Monitor --- Results overview from a global survey on perceived gay-related public opinion and gay well-being. Mainz: Johannes Gutenberg University. Copyright: Reproduction is authorised, provided the source is acknowledged. IMPRINT Contact: Richard Lemke, Department of Communication (Institut für Publizistik), Johannes Gutenberg University (JGU) Mainz, 55099 Germany, [email protected]. Research Team at JGU Mainz: Richard Lemke, Tobias Tornow, Simon Merz, Franziska Schneider Data in this report is the result of a survey study that has been conducted by the aforementioned in collaboration with PlanetRomeo.com. Layout and Visualizations: Tanja Ebner Images, Figures and Tables: Except where otherwise specified, all images, figures and tables in this report are created by the authors and can be reproduced, provided the source is acknowledged (see citation above). All third party images that have been used in this report are marked as such and are either public domain or released under creative commons CC BY-ND 2.0, CC BY-NC-SA 2.0 or CC BY-SA 2.0 license (If copyright claims still exist, please contact the authors). Disclaimer: Although data analysis has been done with multiple steps of double-checking, this version of the report might still contain calculation errors. JGU Mainz cannot be responsible for any damages resulting from potential statistical errors in this report. CONTENT INTRODUCTION ................................................................................................... 2 METHODOLOGY OVERVIEW ............................................................................. 6 PERCEIVED GAY-RELATED PUBLIC OPINION ................................................. 9 LIFE SATISFACTION ........................................................................................
    [Show full text]
  • MSM & HIV, United Nations Development Programme, World Health Organization, United States Agency for International Development, World Bank
    IMPLEMENTING COMPREHENSIVE HIV AND STI PROGRAMMES WITH MEN WHO HAVE SEX WITH MEN: PRACTICAL GUIDANCE FOR COLLABORATIVE INTERVENTIONS COLLABORATIVE FOR GUIDANCE SEX WITH MEN: PRACTICAL IMPLEMENTING COMPREHENSIVE HIV AND STI PROGRAMMES WITH MEN WHO HAVE For more information, contact: Implementing Comprehensive United Nations Population Fund 605 Third Avenue HIV and STI Programmes with New York, NY 10158 USA Men Who Have Sex with Men www.unfpa.org PRACTICAL GUIDANCE FOR COLLABORATIVE INTERVENTIONS Empowered lives. Resilient nations. Implementing Comprehensive HIV and STI Programmes with Men Who Have Sex with Men PRACTICAL GUIDANCE FOR COLLABORATIVE INTERVENTIONS Empowered lives. Resilient nations. Recommended citation: United Nations Population Fund, Global Forum on MSM & HIV, United Nations Development Programme, World Health Organization, United States Agency for International Development, World Bank. Implementing comprehensive HIV and STI programmes with men who have sex with men: practical guidance for collaborative interventions. New York (NY): United Nations Population Fund; 2015. © United Nations Population Fund 2015 The designations employed and the presentation of material in maps in this publication do not imply the expression of any opinion whatsoever on the part of UNFPA concerning the legal status of any country, territory, city or area or its authorities, or concerning the delimitation of its frontiers or boundaries. Cover photograph courtesy of Nadia Rafif, The Global Forum on MSM & HIV. Layout L’IV Com Sàrl, Villars-sous-Yens,
    [Show full text]
  • Panama 2016 Human Rights Report
    PANAMA 2016 HUMAN RIGHTS REPORT EXECUTIVE SUMMARY Panama is a multiparty constitutional democracy. In May 2014 voters chose Juan Carlos Varela Rodriguez as president in national elections that international and domestic observers considered generally free and fair. Varela assumed the presidency in July 2014. Civilian authorities maintained effective control over the security forces. The principal human rights problems were lengthy pretrial detention, harsh prison conditions marked by overcrowding, and widespread, low-level corruption, often practiced with impunity. Other human rights problems included delayed court proceedings, including a judiciary susceptible to corruption and outside influence; violence against women and children; trafficking in persons; marginalization of indigenous people; societal discrimination based on HIV/AIDS status, sexual orientation, and disabilities; lengthy refugee processing; and child labor. The Varela administration and the Public Ministry continued investigations into allegations of corruption against public officials. Section 1. Respect for the Integrity of the Person, Including Freedom from: a. Arbitrary Deprivation of Life and other Unlawful or Politically Motivated Killings There were no reports the government or its agents committed arbitrary or unlawful killings. b. Disappearance There were no reports of politically motivated disappearances. c. Torture and Other Cruel, Inhuman, or Degrading Treatment or Punishment PANAMA 2 The constitution prohibits such practices, and there were no reports that government officials employed them. Prison and Detention Center Conditions Prison conditions remained harsh, due primarily to overcrowding, a shortage of prison guards, lack of adequate medical services, and inadequate sanitary conditions. There were no private detention facilities. Physical Conditions: As of November the prison system, with an intended capacity of 14,174 inmates, held 17,165 prisoners.
    [Show full text]
  • State-Sponsored Homophobia a World Survey of Sexual Orientation Laws: Criminalisation, Protection and Recognition
    STATE-SPONSORED HOMOPHOBIA A WORLD SURVEY OF SEXUAL ORIENTATION LAWS: CRIMINALISATION, PROTECTION AND RECOGNITION MAY 2016 11TH EDITION AENGUS CARROLL www.ilga.org DEVELOPMENT AND HUMAN RIGHTS: TWO COMPLEMENTARY FRAMEWORKS ANDREW PARK34 AND LEE BADGETT35 In the past few years issues related to sexual orientation and gender identity have gained serious attention and increasing support in the human rights arena. However, these issues have not received the same momentum in discussions about development. This article compares the human rights approach to the development approach, and suggests how a development approach may be useful to those seeking improvements in the lives of LGBT people. DIFFERENCES Development and human rights constitute, along with peace and security, the pillars of the United Nations system. As discussed in more detail below, the development and human rights frameworks have close ties to each other, both conceptually and operationally. However, despite recent efforts to harmonise these two approaches, the UN Special Rapporteur on extreme poverty and human rights has called them “ships passing in the night.”36 Below we argue that both are important for understanding and addressing the needs of LGBT people, and we suggest ways of drawing on the strengths of both approaches. A. ORIGINS: SEPARATE HISTORIC PATHS In 1948 the United Nations General Assembly adopted the Universal Declaration of Human Rights, which identified the core human rights standards. Since then, member States have adopted treaties addressing civil and political rights, economic, social, and cultural rights, racial discrimination, and the rights of children, migrant workers, and people with disabilities. For the past several years, LGBT advocates have been seeking to have their human rights recognised under these and other human rights treaties.
    [Show full text]
  • Online Surveillance, Censorship, and Discrimination for Lgbtqia+ Community Worldwide Cyber Threat Analysis
    CYBER THREAT By Insikt Group® ANALYSIS CTA-2020-0714 ONLINE SURVEILLANCE, CENSORSHIP, AND DISCRIMINATION FOR LGBTQIA+ COMMUNITY WORLDWIDE CYBER THREAT ANALYSIS Contents Executive Summary.........................................................................................2 App Study............................................................................................................... 3 Executive.Summary................................................................................................ 3 App.Profiling........................................................................................................... 3 Tinder.................................................................................................................. 3 OKCupid............................................................................................................... 4 Grindr................................................................................................................... 4 SCRUFF............................................................................................................... 4 HER.......................................................................................................................5 Privacy.and.Mitigation............................................................................................5 Criminal and Underground Threat Activity ���������������������������������������������6 By.the.Numbers......................................................................................................6
    [Show full text]
  • EU Annual Report on Human Rights and Democracy in the World in 2012 (Country Reports)
    COUNCIL OF Brussels, 21 May 2013 THE EUROPEAN UNION 9431/13 ADD 1 REV 1 COHOM 82 PESC 505 COSDP 419 FREMP 54 INF 80 JAI 362 RELEX 387 COVER NOTE from: General Secretariat of the Council to: Delegations Subject: EU Annual Report on Human Rights and Democracy in the World in 2012 (Country Reports) Delegations receive in the Annex the report entitled "EU Annual Report on Human Rights and Democracy in the World in 2012 (Country Reports)". ________________________ 9431/13 ADD 1 REV 1 BH/svl 1 DG C EN EU Annual Report on Human Rights and Democracy in the World in 2012 Country reports Table of contents Table of contents ................................................................................................................................ 2 Country and regional issues .............................................................................................................. 6 I Candidate countries and potential candidates ................................................................................ 6 Albania ......................................................................................................................................... 7 Bosnia and Herzegovina .............................................................................................................. 7 Croatia .......................................................................................................................................... 8 Former Yugoslav Republic of Macedonia ..................................................................................
    [Show full text]
  • UNIVERSITY of CALIFORNIA Los Angeles Multi-Relational
    UNIVERSITY OF CALIFORNIA Los Angeles Multi-relational Representation Learning and Knowledge Acquisition A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Computer Science by Muhao Chen 2019 c Copyright by Muhao Chen 2019 ABSTRACT OF THE DISSERTATION Multi-relational Representation Learning and Knowledge Acquisition by Muhao Chen Doctor of Philosophy in Computer Science University of California, Los Angeles, 2019 Professor Carlo Zaniolo, Chair Multi-relational representation learning methods encode entities or concepts of a knowledge graph in a continuous and low-dimensional vector space, where the relational inferences of entities (con- cepts) are modeled as some simple vector algebras. Despite such knowledge representations being crucial to a wide range of knowledge-driven applications, state-of-the-art methods are limited to learning embeddings for simple relation facts in a single knowledge graph. In this dissertation, we pursue the goal of comprehensively capturing the multifaceted relational knowledge in various types of knowledge bases, and towards that we contribute on three fronts: (i) we introduce the first multi-relational representation learning framework that learns to transfer embeddings across multiple knowledge bases; (ii) we propose techniques for preserving relational facts with complex properties in the embedding space, including those enforce relational properties, form hierarchies, or endowed uncertainty; (iii) we investigate large-scale relational learning based on other modali- ties of data, with the aim of acquiring knowledge to enrich the knowledge bases. Each of these three research problems presents a series of key challenges which we address. Thus, for transferred embeddings, we develop joint learning of relational structure encoders that confront the heterogeneity of contents in knowledge graphs, together with diverse types of align- ment models that learn to transfer on the basis of simple, hierarchical or fuzzy alignment infor- mation.
    [Show full text]
  • Panama#.Vdw9warxrkw.Cleanprint
    https://freedomhouse.org/report/freedom-world/2015/panama#.VdW9waRXrkw.cleanprint Panama freedomhouse.org In May 2014 general elections, Vice President Juan Carlos Varela of the Panameñista Party (PP) won the presidency, while the United for More Change alliance maintained its dominance in the National Assembly. Varela promised to tackle corruption and insecurity, two issues perceived to have increased under the previous president. Political Rights and Civil Liberties: Political Rights: 35 / 40 [Key] A. Electoral Process: 12 / 12 The president and deputies of the 71-seat unicameral National Assembly are elected by popular vote for five-year terms. In May 2014, amid an electoral turnout of 75 percent, Varela of the PP won the presidency with 39 percent of the national vote; former housing minister José Domingo Arias of Democratic Change (CD) won 31 percent and former Panama City mayor Juan Carlos Navarro of the Democratic Revolutionary Party (PRD) won 28 percent, with four other candidates splitting the remaining votes. In concurrent National Assembly elections, the United for More Change alliance—formed by the CD and the Nationalist Republican Liberal Movement (MOLIRENA)—won 32 seats, the PRD took 25, the PP won 10, the Popular Party took 3, and there was one independent. Both elections were considered free and fair by international observers. However, the Electoral Mission of the Organization of American States (OAS) and the International Republican Institute (IRI) criticized the interference of the executive branch in the electoral process, including through use of public resources to promote the ruling party’s candidate. Both the OAS and IRI also noted that campaign financing is poorly regulated, with no limits on campaigns donations or expenses.
    [Show full text]