Abstract
In this paper, we present an intelligent memory system. The input of the system is a downward flow which, at the moment, consists of newspaper articles retrieved from the Web. The output consists of articles’ summaries intended to provide an intelligent dialogue system. The system also integrates an upward flow that comes from this intelligent dialogue system. It is used to regulate the downward flow. The goal is to ensure that the information provided by the intelligent memory system meets the expectations of the users of the intelligent dialogue system. Beyond the presentation of the intelligent memory system, the central question is the place of semantics in an information system that uses Artificial Intelligence and the place of the information understanding performed by the intelligent memory system during the information automatic analysis.
« Science sans conscience n’est que ruine de l’âme (Science without conscience is only ruin of the soul.) » Rabelais
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Notes
- 1.
The CHATGPT tool illustrates the progress of the domain (https://chat.openai.com).
- 2.
Typically, so-called task-oriented or goal-oriented dialog systems that are used to make reservations or solicit commercial services.
- 3.
MIMIR means in French: Mémoire Intelligente Mémoire Informatique en Robotique (Intelligent Memory Computer Memory in Robotics).
- 4.
Buddy is a social robot developed by the company BlueFrog Robotic (https://buddytherobot.com).
- 5.
Phonemes are units of phonetic analysis; morphemes are units of morphological analysis and syntagms are units of syntactic analysis.
- 6.
According to generative grammar, competence is an innate property. It explains the mastery of the linguistic system from early childhood. Performance is the use of competence to formulate and interpret statements.
- 7.
For example, She really has a mysterious smile is an interpretable utterance in front of the Mona Lisa painting.
- 8.
The utterance I saw the painting of the woman who has a mysterious smile is interpretable if the painting of La Joconde is common knowledge.
- 9.
For example, ABSORPTION (BEING ALIVE1, FOOD2) is the functional representation of a predicate-argument structure with ABSORPTION corresponding to the predicate, BEING ALIVE1, to its first argument, FOOD2 to its second arguments. The arguments LIVING BEING1 and FOOD2 subsume denominations of entities such as, respectively, man, woman, child, animal, etc. and fruit, meat, grass, etc. The ABSORPTION predicate subsumes denotations of the relationship between entities that correspond, attributing a new representation, to verbs: absorb, swallow, graze, ingest, eat, or feed. Predicate-argument structures subsume propositional content, known as predicative schemes, whose encoding gives rise to utterances. Thus, the utterance, “The man eats a fruit has as a predicative scheme ‘man to eat fruit’ and as a predicate-argument structure ABSORPTION (LIVING BEING1, FOOD2).”.
- 10.
The tripartition ‘sport-football-Mbappé’ is an example of a theme-topic-subject tripartition.
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Buvet, PA., Fache, B., Rouam, A. (2023). Which Semantics for Human-Machine Dialogue Systems?. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2023, Volume 1. FTC 2023. Lecture Notes in Networks and Systems, vol 813. Springer, Cham. https://doi.org/10.1007/978-3-031-47454-5_27
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