PolInterviews——一个德国政治家公开广播访谈数据集

Between welcome culture and border fence. A dataset on the European refugee crisis in German newspaper reports

Newspaper reports provide a rich source of information on the unfolding of public debate on specific policy fields that can serve as basis for inquiry in political science. Such debates are often triggered by critical events, which attract public attention and incite the reactions of political actors: crisis sparks the debate. However, due to the challenges of reliable annotation and modeling, few large-scale datasets with high-quality annotation are available. This paper introduces DebateNet2.0, which traces the political discourse on the European refugee crisis in the German quality newspape…

PopBERT：检测德国联邦议院中的民粹主义及其宿主意识形态

PopBERT. Detecting populism and its host ideologies in the German Bundestag

针对民粹主义语言检测的碎片化问题，本文基于德国联邦议院演讲构建了包含民粹主义核心维度及左右翼宿主意识形态的标注数据集，并训练了基于Transformer的多标签分类模型PopBERT。该模型具有高预测准确度，为动态分析德语政客的民粹主义话语策略提供了可靠且可扩展的量化工具。

Two-Staged Acoustic Modeling Adaption for Robust Speech Recognition by the Example of German Oral History Interviews

In automatic speech recognition, often little training data is available for specific challenging tasks, but training of state-of-the-art automatic speech recognition systems requires large amounts of annotated speech. To address this issue, we propose a two-staged approach to acoustic modeling that combines noise and reverberation data augmentation with transfer learning to robustly address challenges such as difficult acoustic recording conditions, spontaneous speech, and speech of elderly people. We evaluate our approach using the example of German oral history interviews, where a relative …

Human and Automatic Speech Recognition Performance on German Oral History Interviews

Automatic speech recognition systems have accomplished remarkable improvements in transcription accuracy in recent years. On some domains, models now achieve near-human performance. However, transcription performance on oral history has not yet reached human accuracy. In the present work, we investigate how large this gap between human and machine transcription still is. For this purpose, we analyze and compare transcriptions of three humans on a new oral history data set. We estimate a human word error rate of 8.7% for recent German oral history interviews with clean acoustic conditions. For …

通过不一致性误导：政治不一致检测基准

Misleading through Inconsistency: A Benchmark for Political Inconsistencies Detection

针对政治声明中的不一致性这一错误信息形式，本文提出检测任务、类型量表及698对人类标注数据集，并基准测试大型语言模型，发现其检测能力与人类相当，但细粒度分类仍有提升空间。

Multi-Staged Cross-Lingual Acoustic Model Adaption for Robust Speech Recognition in Real-World Applications -- A Case Study on German Oral History Interviews

While recent automatic speech recognition systems achieve remarkable performance when large amounts of adequate, high quality annotated speech data is used for training, the same systems often only achieve an unsatisfactory result for tasks in domains that greatly deviate from the conditions represented by the training data. For many real-world applications, there is a lack of sufficient data that can be directly used for training robust speech recognition systems. To address this issue, we propose and investigate an approach that performs a robust acoustic model adaption to a target domain in…