Conférences  >  Informatique  >  Traitement automatique des langues, Linguistique informatique  >  Allemagne

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

The human voice is able to produce a very rich set of different sounds, making it the single most important channel for communication human-to-human, and also potentially for human-computer interaction. Spoken communication can be thought of as a stack of layered transport protocols that includes language, speech, voice, and sound. In this Dagstuhl seminar, we will be concerned with the voice and its function as a transducer from neurally encoded speech patterns to sound. This very complex mechanism remains insufficiently explained both in terms of analysing voice sounds, as for example in medical assessment of vocal function, and of simulating them from first principles, as in talking or singing machines.

Interface homme-machine, expérience utilisateur, la réalité virtuelle,    Multimédia et infographie, Jeu vidéo

International Economics Development and Research Center

Welcome to The 10th International Conference on Culture, Languages and Literature (ICCLL 2024), which will be held in Berlin, Germany during August 7-9, 2024.

Email.: geoff@iedrc.net

Cultural Studies; Language Studies; Literary Studies; Interdisciplinary Approaches;

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Conversational Agents (CA) as frontends to Information Retrieval (IR) and Recommender Systems (RS) become more popular in everyday life, with a wider range of users and usages. The latest developments in Large Language Models (LLMs) will have tremendous consequences, especially for the workplace and education. In this Dagstuhl Perspectives Workshop, we want to focus on the evaluation of these conversational systems, as appropriate methods are still missing. The quality of these systems is limited in terms of personalization, veracity and correctness, bias, transparency, trustworthiness, and understandability. Thus, evaluation methods must address these shortcomings. Furthermore, user- and usage-oriented aspects should become a more prominent and integral component in evaluations, as the user population as well as the tasks these systems are used for become more heterogeneous. For this reason, the topic-centric view of relevance has to be extended to a broad range of facets which are important for the different usage scenarios. Therefore, suitable evaluation criteria have to be specified, which form the basis for defining appropriate measures. Most importantly, the range of evaluation methods must be revisited and extended, as popular methods like the Cranfield approach or crowdsourcing must be complemented by new evaluation methods and strategies specifically tailored to this new type of system.

Mise en œuvre et applications de l'intelligence artificielle,    Gestion des connaissances, Big Data Computing

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Automated programming refers to techniques that suggest newly written code, e.g., in the form of code completion tools. Techniques for automated programming include large language models that predict code based on natural language specifications of the intended behavior. The recent development of technologies like Codex and ChatGPT have made us examine the possibility of automated programming in the future. Automated program repair refers to a suite of techniques for automated rectification of errors or vulnerabilities in programs. Automated program repair technologies were originally developed for reducing the debugging effort for manually written code. However, interestingly these techniques can be adapted to improve automatically generated code. This Dagstuhl Seminar will explore the intersection of these two fields.

Génie logiciel,    Mise en œuvre et applications de l'intelligence artificielle

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Natural language processing (NLP) is transforming the way humans communicate with each other and with machines, with applications in multi-document summarization, machine translation, question answering, fact checking, decision support in health domains, or any applications which require making decisions that involve complex reasoning or entail combining different modalities (e.g., vision and text). The goal of the workshop, as well as of the entire program, is to facilitate collaboration among NLP researchers and to encourage closer interactions between the NLP and Machine Learning communities.