Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes

Over the past 30 years, the international conference on Artificial Intelligence in MEdicine (AIME) has been organized at different venues across Europe every 2 years, establishing a forum for scientific exchange and creating an active research community. The Artificial Intelligence in Medicine journal has published theme issues with extended versions of selected AIME papers since 1998

Research in the Language, Information and Computation Laboratory of the University of Pennsylvania

This report takes its name from the Computational Linguistics Feedback Forum (CLiFF), an informal discussion group for students and faculty. However the scope of the research covered in this report is broader than the title might suggest; this is the yearly report of the LINC Lab, the Language, Information and Computation Laboratory of the University of Pennsylvania. It may at first be hard to see the threads that bind together the work presented here, work by faculty, graduate students and postdocs in the Computer Science and Linguistics Departments, and the Institute for Research in Cognitive Science. It includes prototypical Natural Language fields such as: Combinatorial Categorial Grammars, Tree Adjoining Grammars, syntactic parsing and the syntax-semantics interface; but it extends to statistical methods, plan inference, instruction understanding, intonation, causal reasoning, free word order languages, geometric reasoning, medical informatics, connectionism, and language acquisition. Naturally, this introduction cannot spell out all the connections between these abstracts; we invite you to explore them on your own. In fact, with this issue it’s easier than ever to do so: this document is accessible on the “information superhighway”. Just call up http://www.cis.upenn.edu/~cliff-group/94/cliffnotes.html In addition, you can find many of the papers referenced in the CLiFF Notes on the net. Most can be obtained by following links from the authors’ abstracts in the web version of this report. The abstracts describe the researchers’ many areas of investigation, explain their shared concerns, and present some interesting work in Cognitive Science. We hope its new online format makes the CLiFF Notes a more useful and interesting guide to Computational Linguistics activity at Penn

Explainable methods for knowledge graph refinement and exploration via symbolic reasoning

Knowledge Graphs (KGs) have applications in many domains such as Finance, Manufacturing, and Healthcare. While recent efforts have created large KGs, their content is far from complete and sometimes includes invalid statements. Therefore, it is crucial to refine the constructed KGs to enhance their coverage and accuracy via KG completion and KG validation. It is also vital to provide human-comprehensible explanations for such refinements, so that humans have trust in the KG quality. Enabling KG exploration, by search and browsing, is also essential for users to understand the KG value and limitations towards down-stream applications. However, the large size of KGs makes KG exploration very challenging. While the type taxonomy of KGs is a useful asset along these lines, it remains insufficient for deep exploration. In this dissertation we tackle the aforementioned challenges of KG refinement and KG exploration by combining logical reasoning over the KG with other techniques such as KG embedding models and text mining. Through such combination, we introduce methods that provide human-understandable output. Concretely, we introduce methods to tackle KG incompleteness by learning exception-aware rules over the existing KG. Learned rules are then used in inferring missing links in the KG accurately. Furthermore, we propose a framework for constructing human-comprehensible explanations for candidate facts from both KG and text. Extracted explanations are used to insure the validity of KG facts. Finally, to facilitate KG exploration, we introduce a method that combines KG embeddings with rule mining to compute informative entity clusters with explanations.Wissensgraphen haben viele Anwendungen in verschiedenen Bereichen, beispielsweise im Finanz- und Gesundheitswesen. Wissensgraphen sind jedoch unvollständig und enthalten auch ungültige Daten. Hohe Abdeckung und Korrektheit erfordern neue Methoden zur Wissensgraph-Erweiterung und Wissensgraph-Validierung. Beide Aufgaben zusammen werden als Wissensgraph-Verfeinerung bezeichnet. Ein wichtiger Aspekt dabei ist die Erklärbarkeit und Verständlichkeit von Wissensgraphinhalten für Nutzer. In Anwendungen ist darüber hinaus die nutzerseitige Exploration von Wissensgraphen von besonderer Bedeutung. Suchen und Navigieren im Graph hilft dem Anwender, die Wissensinhalte und ihre Limitationen besser zu verstehen. Aufgrund der riesigen Menge an vorhandenen Entitäten und Fakten ist die Wissensgraphen-Exploration eine Herausforderung. Taxonomische Typsystem helfen dabei, sind jedoch für tiefergehende Exploration nicht ausreichend. Diese Dissertation adressiert die Herausforderungen der Wissensgraph-Verfeinerung und der Wissensgraph-Exploration durch algorithmische Inferenz über dem Wissensgraph. Sie erweitert logisches Schlussfolgern und kombiniert es mit anderen Methoden, insbesondere mit neuronalen Wissensgraph-Einbettungen und mit Text-Mining. Diese neuen Methoden liefern Ausgaben mit Erklärungen für Nutzer. Die Dissertation umfasst folgende Beiträge: Insbesondere leistet die Dissertation folgende Beiträge: • Zur Wissensgraph-Erweiterung präsentieren wir ExRuL, eine Methode zur Revision von Horn-Regeln durch Hinzufügen von Ausnahmebedingungen zum Rumpf der Regeln. Die erweiterten Regeln können neue Fakten inferieren und somit Lücken im Wissensgraphen schließen. Experimente mit großen Wissensgraphen zeigen, dass diese Methode Fehler in abgeleiteten Fakten erheblich reduziert und nutzerfreundliche Erklärungen liefert. • Mit RuLES stellen wir eine Methode zum Lernen von Regeln vor, die auf probabilistischen Repräsentationen für fehlende Fakten basiert. Das Verfahren erweitert iterativ die aus einem Wissensgraphen induzierten Regeln, indem es neuronale Wissensgraph-Einbettungen mit Informationen aus Textkorpora kombiniert. Bei der Regelgenerierung werden neue Metriken für die Regelqualität verwendet. Experimente zeigen, dass RuLES die Qualität der gelernten Regeln und ihrer Vorhersagen erheblich verbessert. • Zur Unterstützung der Wissensgraph-Validierung wird ExFaKT vorgestellt, ein Framework zur Konstruktion von Erklärungen für Faktkandidaten. Die Methode transformiert Kandidaten mit Hilfe von Regeln in eine Menge von Aussagen, die leichter zu finden und zu validieren oder widerlegen sind. Die Ausgabe von ExFaKT ist eine Menge semantischer Evidenzen für Faktkandidaten, die aus Textkorpora und dem Wissensgraph extrahiert werden. Experimente zeigen, dass die Transformationen die Ausbeute und Qualität der entdeckten Erklärungen deutlich verbessert. Die generierten unterstützen Erklärungen unterstütze sowohl die manuelle Wissensgraph- Validierung durch Kuratoren als auch die automatische Validierung. • Zur Unterstützung der Wissensgraph-Exploration wird ExCut vorgestellt, eine Methode zur Erzeugung von informativen Entitäts-Clustern mit Erklärungen unter Verwendung von Wissensgraph-Einbettungen und automatisch induzierten Regeln. Eine Cluster-Erklärung besteht aus einer Kombination von Relationen zwischen den Entitäten, die den Cluster identifizieren. ExCut verbessert gleichzeitig die Cluster- Qualität und die Cluster-Erklärbarkeit durch iteratives Verschränken des Lernens von Einbettungen und Regeln. Experimente zeigen, dass ExCut Cluster von hoher Qualität berechnet und dass die Cluster-Erklärungen für Nutzer informativ sind

A Survey on Causal Discovery Methods for Temporal and Non-Temporal Data

Causal Discovery (CD) is the process of identifying the cause-effect relationships among the variables from data. Over the years, several methods have been developed primarily based on the statistical properties of data to uncover the underlying causal mechanism. In this study we introduce the common terminologies in causal discovery, and provide a comprehensive discussion of the approaches designed to identify the causal edges in different settings. We further discuss some of the benchmark datasets available for evaluating the performance of the causal discovery algorithms, available tools to perform causal discovery readily, and the common metrics used to evaluate these methods. Finally, we conclude by presenting the common challenges involved in CD and also, discuss the applications of CD in multiple areas of interest

Experiencing everyday justice: a study of end-user experiences of judicial hybridity in South Kivu, DRC

Within peacebuilding, there is a growing understanding of the need to develop a more robust understanding of the bottom up view of peacebuilding due to numerous failures to achieve the liberal peace over the years. There is a growing consensus that the liberal peace is insufficient to achieve sustainable peace in post conflict countries, but understandable uncertainty exists about how to achieve peace in post-liberal context. The thesis sets out to expand our understanding of what the experiences of everyday judicial hybridity in South Kivu can contribute to current peacebuilding approaches. By examining 104 different user narratives with various judicial service in South Kivu, DRC conducted between May 2014 and August 2014, this research tries to understand how individuals understand and navigate through the judicial landscape. This study concludes that justice is South Kivu judicial users desires for judicial experiences are not unique, but are contain universal characteristics. While there are opportunities to build upon what is working for users, the long term solutions for sustainable peace remain at the mercy of political solutions

The Mobile Workshop: Mobility, Technology, and Human-Animal Interaction in Gonarezhou (National Park), 1850-present.

The dissertation investigates the role of mobility in the interactions of people, technology, and nature in Gonarezhou National Park in southeastern Zimbabwe for the last 150 years. It concentrates on the movement of three specific actors. First, it examines the movement of people such as state administrators, hunters or poachers, human traffickers, insurgents, and illegal immigrants to South Africa. Second, it explores technologies like indigenous hunting technologies, western-made guns, veterinary disease control, and indigenous and western conservation. Thirdly, it looks at the movement of nature, specifically wild animals, plants, water, minerals, and the weather. By paying close attention to the role of mobility, the dissertation attempts to bring together people, nature, and technology in one narrative. Scholars who write about mobility have often normalized or naturalized it in such a way that we do not see how movement itself works to produce history or ‘social’ behavior. Mobility is taken as more of a premise but is rarely problematized. This dissertation argues that mobility itself disrupts and (re)assembles various kinds of boundaries in important ways. I use the notion of the mobile workshop to talk about the artifacts, skills and socio-technical relations that surround these border-crossing people, nature, and technology as they move through time and space. These artifacts, skills and socio-technical relations are the very same ones scholars have used to define a workshop. Mobility renders the workshop portable and capable of operating on the move or being shifted from place to place. This dissertation tells how villagers around Gonarezhou forest have formed alliances with these itinerant outsiders, animals, insects and technologies to transgress state monopoly over wildlife. At no point in the 150 years examined here did the human element completely control the stage where technology and nature interacted. In principle, various incarnations of the state defined “right” and “wrong” forms of mobility; in practice, the “wrong” mobilities of human and nonhuman subjects ruled these various forms of the state, which in turn resorted to treating human subjects in the same ways as they did animal pests. Governance became pest control work.Ph.D.HistoryUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/61738/1/mavhungc_1.pd

Spacelab Science Results Study

Beginning with OSTA-1 in November 1981 and ending with Neurolab in March 1998, a total of 36 Shuttle missions carried various Spacelab components such as the Spacelab module, pallet, instrument pointing system, or mission peculiar experiment support structure. The experiments carried out during these flights included astrophysics, solar physics, plasma physics, atmospheric science, Earth observations, and a wide range of microgravity experiments in life sciences, biotechnology, materials science, and fluid physics which includes combustion and critical point phenomena. In all, some 764 experiments were conducted by investigators from the U.S., Europe, and Japan. The purpose of this Spacelab Science Results Study is to document the contributions made in each of the major research areas by giving a brief synopsis of the more significant experiments and an extensive list of the publications that were produced. We have also endeavored to show how these results impacted the existing body of knowledge, where they have spawned new fields, and if appropriate, where the knowledge they produced has been applied

Role of instruments in exploration: a study of the Royal Geographical Society 1830-1930

The thesis presents the first in-depth study of the role of measuring instruments in a leading scientific society concerned with field science. It draws upon a substantial literature in the history of science, geography, and exploration and makes use of actor network theory. The thesis considers the instruments to have been assimilated into an iterative cyclical process. By studying each aspect of the cycle, a comprehensive understanding of the integration of instruments into the working practices of the Society, the process of exploration, and ultimately the British imperialist endeavour, has been achieved. The start date is that of the founding of the Society. The end date approximates to the retirement of the map curator Edward Reeves, when recording practices at the Society changed. The century has coherence as the instruments remained essentially similar. The thesis therefore draws on a range of archival material: the journal articles, the medal awards, and the maps in addition to the paper archives, minute books and instruments themselves. The empirical findings have been enriched by reference to a substantial literature from historians of science, historical geographers and instrument historians. The thesis documents instrumental activity on behalf of the Society from acquisition to disposal or loss, regarding activity on behalf of the Society as ‘added resource’. The thesis argues that the ambitions of the Society were slow to be enacted, and that a collection of instruments for lending was not formed until 1850. The preparation of travellers has been discussed as a complementary activity; systematic provision is likewise found to have been slow. Having studied fifty expeditions with respect to instrument mobilisation, from which excerpts are presented, a number of factors are identified which affected success, and the fallibility of instruments is confirmed. The itineraries of over a thousand individual items have been charted and made available in a database which will assist future research. The agencies of the instruments have been considered to be knowledge creation, individual reputation, empire, and social relations. The RGS developed strategies for militating against the fallibility of instruments in the field to provide credible outcomes. The instrumental data was manipulated by a growing body of professionals which served to moderate results. The instruments conferred social and epistemological authority to some groups more than others, but not necessarily in the manner predicted by existing theories. The geographical endeavour could be subsumed into imperialist demands. The instruments reflected and strengthened existing social hierarchies. The conclusions drawn indicate that historians of science and geography need to look at the role of instruments in more detail than extant models of knowledge creation, including ANT, suggest