23 papers · ranked by Valyu relevance
Suket Arora, Kamaljeet Batra, Sarabjit Singh
A Dialogue System is a system which interacts with human in natural language. At present many universities are developing the dialogue system in their regional language. This paper will discuss about dialogue system, its components, challenges and its evaluation. This paper helps the researchers for getting info…
Jan Deriu, Alvaro Rodrigo, Arantxa Otegi, Guillermo Echegoyen + 3 more
'Sophie Rosset' 'Eneko Agirre' 'Mark Cieliebak'] In this paper, we survey the methods and concepts developed for the evaluation of dialogue systems. Evaluation, in and of itself, is a crucial part during the development process. Often, dialogue systems are evaluated by means of human evaluations and questionnaires.…
Jan Deriu, Álvaro Rodrigo, Arantxa Otegi, Guillermo Echegoyen + 3 more
'Sophie Rosset' 'Eneko Agirre' 'Mark Cieliebak'] Abstract In this paper, we survey the methods and concepts developed for the evaluation of dialogue systems. Evaluation, in and of itself, is a crucial part during the development process. Often, dialogue systems are evaluated by means of human evaluations and…
Amogh Mannekote
Dialogue-based human-AI collaboration can revolutionize collaborative problem-solving, creative exploration, and social support. To realize this goal, the development of automated agents proficient in skills such as negotiating, following instructions, establishing common ground, and progressing shared tasks is…
Iulian Vlad Serban, Ryan Lowe, Peter Henderson, Laurent Charlin + 1 more
'Joëlle Pineau'] During the past decade, several areas of speech and language understanding have witnessed substantial breakthroughs from the use of data-driven models. In the area of dialogue systems, the trend is less obvious, and most practical systems are still built through significant engineering and expert…
David Griol, Zoraida Callejas
Spoken dialogue systems have been proposed to enable a more natural and intuitive interaction with the environment and human-computer interfaces. In this contribution, we present a framework based on neural networks that allows modeling of the user's intention during the dialogue and uses this prediction to dynamically…
Stefan Kopp, Nicole Krämer
The study of human-human communication and the development of computational models for human-agent communication have diverged significantly throughout the last decade. Yet, despite frequently made claims of “super-human performance” in, e.g., speech recognition or image processing, so far, no system is able to lead a…
Muhammad Amith, Kirk Roberts, Cui Tao
Background In the United States and parts of the world, the human papillomavirus vaccine uptake is below the prescribed coverage rate for the population. Some research have noted that dialogue that communicates the risks and benefits, as well as patient concerns, can improve the uptake levels. In this paper, we…
Yuxian Meng, Shuhe Wang, Qinghong Han, Xiaofei Sun + 3 more
'Rui Yan' 'Jiwei Li'] When humans converse, what a speaker will say next significantly depends on what he sees. Unfortunately, existing dialogue models generate dialogue utterances only based on preceding textual contexts, and visual contexts are rarely considered. This is due to a lack of a large-scale multi-module…
Masahiro Yamashita, Rieko Kubo, Shinji Nishimoto
Individuals integrate their own words, their partner’s words, and the context of dialogue into coherent meanings. Research suggests that mutual understanding between speakers and listeners is supported by a shared representation between language production and comprehension^1,2^. However, it remains unknown how…
Halie Olson, Emily Chen, Kirsten Lydic, Rebecca Saxe
Much of the language we encounter in our everyday lives comes in the form of conversation, yet the majority of research on the neural basis of language comprehension has used input from only one speaker at a time. 20 adults were scanned while passively observing audiovisual conversations using functional magnetic…
Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke
Conversational search is a relatively young area of research that aims at automating an information-seeking dialogue. In this paper we help to position it with respect to other research areas within conversational Artificial Intelligence (AI) by analysing the structural properties of an information-seeking dialogue. To…
Antje Maria Schöps, Timothy Charles Skinner, Christina Fogtmann Fosgerau
'Christina Fogtmann Fosgerau'] Chronic disease self-management and health behavior change programs are becoming increasingly important to health service delivery to prevent the development of chronic disease and optimize health outcomes for those who suffer from it. To train people to deliver these programs…
Etienne Abassi, Robert J. Zatorre
Social interactions occupy a significant part of life, and understanding others’ conversations is key to navigating our social world. While the role of semantics in speech comprehension is well-established at the word or sentence level, its influence on larger conversational scales, alongside social context, is less…
Jing Cai, Alex E. Hadjinicolaou, Angelique C. Paulk, Ziv M. Williams + 1 more
Human verbal communication requires a rapid interplay between speech planning, production, and comprehension. These processes are subserved by local and long-range neural dynamics across widely distributed brain areas. How linguistic information is precisely represented during natural conversation or what shared neural…
Enrique Fernández-Rodicio, Álvaro Castro-González, Fernando Alonso-Martín, Marcos Maroto-Gómez + 1 more
'Fernando Alonso-Martín' 'Marcos Maroto-Gómez' 'Miguel Á. Salichs'] Social Robots need to communicate in a way that feels natural to humans if they are to effectively bond with the users and provide an engaging interaction. Inline with this natural, effective communication, robots need to perceive and manage multimodal…
Authors not listed
The Socratic method, grounded in iterative questioning and critical dialogue, offers a compelling framework for leveraging large language models (LLMs) to advance scientific reasoning and discovery in chemistry and materials science. In this paper, we explore how Socratic principles can be integrated into prompt…
Kazunori D Yamada
Artificial intelligence that accumulates knowledge and presents it to users has the potential to become a vital ally for humanity. It is thought to be advantageous for such artificial intelligence to have the capability to continually accumulate knowledge while operating, as opposed to needing to relearn each time new…
Authors not listed
The interdisciplinary nature of redox flow batteries (RFBs), spanning chemistry, materials, and engineering, has led to a vast and fragmented body of research, hindering the efficient synthesis of knowledge. An intelligent question-answering system is there-fore essential to organize this dispersed knowledge, enhance…
P. Heikkinen, S. Lepistö, P. Wikman, E. Koskinen + 3 more
Engagement in interaction arises through the continuous monitoring of conversation content, allowing individuals to prioritize information that is most relevant to them. Emotional salience of semantic content may play a key role in guiding this attentional engagement. By combining audiovisual “Cocktail-party” paradigm…
Authors not listed
Large language models (LLMs) have garnered increasing attention owing to their potential as collaborative assistants in scientific studies. However, adapting an LLM to specialized domains remains challenging because of the difficulty in incorporating domain-specific knowledge. In the present study, we propose a…
Authors not listed
Bioprocess engineering has incorporated effective AI applications in recent years that consist of traditional approaches to training models on relevant data to then analyze and predict new and unseen data. The missing component has been the ability to process mixed data from an assortment of dissimilar information…
Authors not listed
Artificial intelligence, represented by large language models (LLMs), has demonstrated tremendous capabilities in natural language recognition and extraction. To further evaluate the performance of various LLMs in extracting information from academic papers, this study explores the application of LLMs in reticular…