Abstract Conversational recommender systems aim to interactively support online users in their information search and decision-making processes an intuitive way. With the latest advances voice-controlled devices, natural language processing, AI general, such received increased attention recent years. Technically, conversational recommenders are usually complex multi-component applications often...

Semantic role labeling (SRL) aims to extract the arguments for each predicate in an input sentence. Traditional SRL can fail analyze dialogues because it only works on every single sentence, while ellipsis and anaphora frequently occur dialogues. To address this problem, we propose conversational task, where argument be dialogue participants, a phrase history or current As existing datasets are...

Zusammenfassung Der folgende Beitrag zeigt auf, wie bestehende Disziplinen und Methoden aus den Bereichen der Psychologie Wirtschaftsinformatik miteinander kombiniert erweitert werden, damit Conversational Bots, auch als Chat- oder Voicebots bekannt, nicht nur natürliche Sprache verstehen verarbeiten können, sondern personalisiert auf die Useranfragen eingehen können. Dies alles mit dem Ziel, m...

Stress assignment to polysyllabic words is the only aspect of the pronunciation of written Italian that cannot be predicted by rule. It could be a function of stress dominance in the language or of stress neighborhood (i.e., the number of words sharing an ending and a stress pattern). In two experiments, we investigated stress assignment in Italian adult and, most importantly, young readers. Wo...

Conversational AI systems are becoming famous in day to day lives. In this paper, we are trying to address the following key question: To identify whether design, as well as development efforts for search oriented conversational AI are successful or not. It is tricky to de€ne ’success’ in the case of conversational AI and equally tricky part is to use appropriate metrics for the evaluation of c...

The ability to recognize the Visual Focus of Attention (VFOA, i.e. what or whom a person is looking at) of people is important for robots or conversational agents interacting with multiple people, since it plays a key role in turn-taking, engagement or intention monitoring. As eye gaze estimation is often impossible to achieve, most systems currently rely on head pose as an approximation, creat...

Online communication channels, especially social web platforms, are rapidly replacing traditional ones. Online platforms allow users to overcome physical barriers, enabling worldwide participation. However, the power of online communication bears an important negative consequence — we are exposed to too much information to process. Too many participants, for example, can turn online public spac...