Modern Transformer-based language models such as BERT are huge and, therefore, expensive to deploy in practical applications. In environments such as commercial chatbot-as-a-service platforms that deploy many NLP models in parallel, less powerful …
Methods for automatic disinformation detection have gained much attention in recent years, as false information can have a severe impact on societal cohesion. Disinformation can influence the outcome of elections, the spread of diseases by preventing …
In the seventh edition of the WMT Biomedical Task, we addressed a total of seven languagepairs, namely English/German, English/French, English/Spanish, English/Portuguese, English/Chinese, English/Russian, English/Italian. This year{'}s test sets …
Prompting pre-trained language models has achieved impressive performance on various NLP tasks, especially in low data regimes. Despite the success of prompting in monolingual settings, applying prompt-based methods in multilingual scenarios has been …
Scholarly Argumentation Mining (SAM) has recently gained attention due to its potential to help scholars with the rapid growth of published scientific literature. It comprises two subtasks: argumentative discourse unit recognition (ADUR) and …
Learning scientific document representations can be substantially improved through contrastive learning objectives, where the challenge lies in creating positive and negative training samples that encode the desired similarity semantics. Prior work …
As conversational interfaces mature in both capacity and usage, the need to personalize towards specific user characteristics becomes apparent, in order to improve users’ acceptance, satisfaction and trust in the conversations. We utilize the concept …
Chatbots are increasingly used to automate operational processes in customer service. However, most chatbots lack adaptation towards their users which may results in an unsatisfactory experience. Since knowing and meeting personal preferences is a …
This paper presents a fine-grained test suite for the language pair German–English. The test suite is based on a number of linguistically motivated categories and phenomena and the semi-automatic evaluation is carried out with regular expressions. We …
In recent years, machine learning for clinical decision support has gained more and more attention. In order to introduce such applications into clinical practice, a good performance might be essential, however, the aspect of trust should not be …