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Year of publication
- 2023 (65) (remove)
Search engines are very good at answering queries that look for facts. Still, information needs that concern forming opinions on a controversial topic or making a decision remain a challenge for search engines. Since they are optimized to retrieve satisfying answers, search engines might emphasize a specific stance on a controversial topic in their ranking, amplifying bias in society in an undesired way. Argument retrieval systems support users in forming opinions about controversial topics by retrieving arguments for a given query. In this thesis, we address challenges in argument retrieval systems that concern integrating them in search engines, developing generalizable argument mining approaches, and enabling frame-guided delivery of arguments.
Adapting argument retrieval systems to search engines should start by identifying and analyzing information needs that look for arguments. To identify questions that look for arguments we develop a two-step annotation scheme that first identifies whether the context of a question is controversial, and if so, assigns it one of several question types: factual, method, and argumentative. Using this annotation scheme, we create a question dataset from the logs of a major search engine and use it to analyze the characteristics of argumentative questions. The analysis shows that the proportion of argumentative questions on controversial topics is substantial and that they mainly ask for reasons and predictions. The dataset is further used to develop a classifier to uniquely map questions to the question types, reaching a convincing F1-score of 0.78.
While the web offers an invaluable source of argumentative content to respond to argumentative questions, it is characterized by multiple genres (e.g., news articles and social fora). Exploiting the web as a source of arguments relies on developing argument mining approaches that generalize over genre. To this end, we approach the problem of how to extract argument units in a genre-robust way. Our experiments on argument unit segmentation show that transfer across genres is rather hard to achieve using existing sequence-to-sequence models.
Another property of text which argument mining approaches should generalize over is topic. Since new topics appear daily on which argument mining approaches are not trained, argument mining approaches should be developed in a topic-generalizable way. Towards this goal, we analyze the coverage of 31 argument corpora across topics using three topic ontologies. The analysis shows that the topics covered by existing argument corpora are biased toward a small subset of easily accessible controversial topics, hinting at the inability of existing approaches to generalize across topics. In addition to corpus construction standards, fostering topic generalizability requires a careful formulation of argument mining tasks. Same side stance classification is a reformulation of stance classification that makes it less dependent on the topic. First experiments on this task show promising results in generalizing across topics.
To be effective at persuading their audience, users of an argument retrieval system should select arguments from the retrieved results based on what frame they emphasize of a controversial topic. An open challenge is to develop an approach to identify the frames of an argument. To this end, we define a frame as a subset of arguments that share an aspect. We operationalize this model via an approach that identifies and removes the topic of arguments before clustering them into frames. We evaluate the approach on a dataset that covers 12,326 frames and show that identifying the topic of an argument and removing it helps to identify its frames.
Those who ask how social entities relate to the past, enter a field defined by competing interpretations and contested practices of a collectively shared heritage. Dissent and conflict among heritage communities represent productive moments in the negotiation of these varying constructs of the past, identities, and heritage. At the same time, they lead to omissions, the overwriting and amendment of existing constructs. A closer look at all that is suppressed, excluded or rejected opens up new perspectives: It reveals how social groups are formed through public disputes upon the material foundations of heritage constructs.
Taking the concept of censorship, the volume engages with the exclusionary and inclusionary mechanisms that underlie the construction of heritage and thus social identities. Censorship is understood here as a discursive strategy in public debates. In current debates, allegations of censorship surface primarily in cases where the handling of a certain heritage constructs is subjected to critical evaluation, or on the contrary, needs to be protected from criticism or even destruction. The authors trace the connection between heritage and identity and show that identity constructs are not only manifested within heritage but are actively negotiated through it.
The characteristic values of climatic actions in current structural design codes are based on a specified probability of exceedance during the design working life of a structure. These values are traditionally determined from the past observation data under a stationary climate assumption. However, this assumption becomes invalid in the context of climate change, where the frequency and intensity of climatic extremes varies with respect to time. This paper presents a methodology to calculate the non-stationary characteristic values using state of the art climate model projections. The non-stationary characteristic values are calculated in compliance with the requirements of structural design codes by forming quasi-stationary windows of the entire bias-corrected climate model data. Three approaches for the calculation of non-stationary characteristic values considering the design working life of a structure are compared and their consequences on exceedance probability are discussed.
Identification of modal parameters of a space frame structure is a complex assignment due to a large number of degrees of freedom, close natural frequencies, and different vibrating mechanisms. Research has been carried out on the modal identification of rather simple truss structures. So far, less attention has been given to complex three-dimensional truss structures. This work develops a vibration-based methodology for determining modal information of three-dimensional space truss structures. The method uses a relatively complex space truss structure for its verification. Numerical modelling of the system gives modal information about the expected vibration behaviour. The identification process involves closely spaced modes that are characterised by local and global vibration mechanisms. To distinguish between local and global vibrations of the system, modal strain energies are used as an indicator. The experimental validation, which incorporated a modal analysis employing the stochastic subspace identification method, has confirmed that considering relatively high model orders is required to identify specific mode shapes. Especially in the case of the determination of local deformation modes of space truss members, higher model orders have to be taken into account than in the modal identification of most other types of structures.
Die Corona-Krise stellt das städtische Zusammenleben auf eine harte Probe. Nicht nur sozialer Austausch, Kultur und Verkehr, sondern auch die kommunale Demokratie ist massiv beeinflusst. Wer kann in der Krise noch mitsprechen? Und wie verändert sie das Zusammenspiel von Verwaltung, Politik und Zivilgesellschaft? Die Beiträger*innen untersuchen anhand von Fallstudien die Auswirkungen der Krise auf die kommunale Beteiligungskultur. Sie fragen mit interdisziplinärem Blick nach der kommunalen Krisenbewältigung und erfolgreichen Governance-Strukturen im Kontext multipler Krisen. Ihr Ansatz der kritischen Urbanistik versteht sich dabei als Einladung zur Reflexion, Debatte und alternativen Praxis.