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Publications associées (73)
Motor imagery training to improve language processing: What are the arguments?
Studies showed that motor expertise was found to induce improvement in language processing. Grounded and situated approaches attributed this effect to an underlying automatic simulation of the motor experience elicited by action words, similar to motor ima ...
FRONTIERS MEDIA SA2023Slim: Explicit Slot-Intent Mapping With Bert For Joint Multi-Intent Detection And Slot Filling
Boi Faltings, Fei Mi, Fengyu Cai, Wanhao Zhou
Utterance-level intent detection and token-level slot filling are two key tasks for spoken language understanding (SLU) in task-oriented systems. Most existing approaches assume that only a single intent exists in an utterance. However, there are often mul ...
IEEE2022Prompt–RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering
Devis Tuia, Sylvain Lobry, Christel Marie Tartini-Chappuis, Valérie Zermatten
Remote sensing visual question answering (RQA) was recently proposed with the aim of interfacing natural language and vision to ease the access of information contained in Earth Observation data for a wide audience, which is granted by simple questions in ...
2022Textual Explanations and Critiques in Recommendation Systems
Artificial intelligence and machine learning algorithms have become ubiquitous. Although they offer a wide range of benefits, their adoption in decision-critical fields is limited by their lack of interpretability, particularly with textual data. Moreover, ...
EPFL2022Natural Language Processing (NLP) driven categorisation and detection of discourse in historical US patents
Jérôme Baudry, Nicolas Christophe Chachereau, Bhargav Srinivasa Desikan, Prakhar Gupta
Patents have traditionally been used in the history of technology as an indication of the thinking process of the inventors, of the challenges or “reverse salients” they faced, or of the social groups influencing the construction of technology. More recent ...
2022Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
Maud Ehrmann, Matteo Romanello
We present the HIPE-2022 shared task on named entity processing in multilingual historical documents. Following the success of the first CLEF-HIPE-2020 evaluation lab, this edition confronts systems with the challenges of dealing with more languages, learn ...
Springer International Publishing2022RSVQA Meets Bigearthnet: A New, Large-Scale, Visual Question Answering Dataset for Remote Sensing
Visual Question Answering is a new task that can facilitate the extraction of information from images through textual queries: it aims at answering an open-ended question formulated in natural language about a given image. In this work, we introduce a new ...
IEEE2021