13 research outputs found
Dialogue Modeling in Embodied Communicational Agents
We are developing an ECA (Embodied Communicational Agent) system in Hungarian language. The ECA has to be able to carry out general chat conversations and domain specific discussions as well. The structure of the dialogue graph and the attributes of the graph nodes have to support the success of the conversation: user utterance understanding and responding, as well as repairing the 'non-understandins' situations. In the following sections we are briefly depicting the system and describe its dialogue knowledge base focusing on the different user interfaces we developed for its testing and building
Extraction of affective components from texts and their use in natural language dialogue systems
We are carrying out a research in the field of Human Computer Interaction and developing a natural language dialogue system in Hungarian. In the beginning chapters we briefly describe the architecture of our dialogue system, BotCom with examples of its semantic processing capabilities. We give examples of how the system is handling the topics of the discussion, how the dialogue history is being used in order to enhance the reply generation. In the subsequent parts we give an overview of the emotional state detecting, processing and generating module, called GALA, which is founded on the grounds of Robert Plutchik's emotional model. We show how BotCom is utilizing the detected emotional loads of the user's messages, therefore enabling the chatterbot to give relevant answers both semantically and affectively. In the final chapter we explain how the database of GALA was filled up with expressions assigned to their emotional loads. We also describe a graphical user interface (GUI) being designed to model the changing emotional loads in dialogues, songs and poems, and how it can be used for the emotional labeling of the phrases
InformáciĂłs technolĂłgiák segĂtĹ‘ alkalmazásai
A tanulmány szerzĹ‘i áttekintĂ©st nyĂşjtanak a fogyatĂ©kkal Ă©lĹ‘k Ă©s az idĹ‘sek számára kĂ©szĂtett informatikai eszközök fejlesztĂ©sĂ©nek irányairĂłl. ElĹ‘ször körĂĽljárják a fogalom kĂĽlönbözĹ‘ meghatározásait Ă©s a megváltozott kĂ©pessĂ©gek rendszerezĂ©si lehetĹ‘sĂ©geit. Bemutatják a funkciĂłkĂ©pessĂ©gnek, a fogyatĂ©kosságnak Ă©s az egĂ©szsĂ©gnek a WHO által elfogadott nemzetközi osztályozási rendszerĂ©t (ICF) Ă©s annak alkalmazását a terĂĽleten. A tanulmány második rĂ©szĂ©ben pĂ©ldákat mutatnak be a segĂtĹ‘ technolĂłgiák alkalmazásaira, kĂĽlönös tekintettel a hazai fejlesztĂ©sekre, illetve a csĂşcstechnolĂłgiát kĂ©pviselĹ‘ nemzetközi megoldásokra. A segĂtĹ‘ rendszerek egy rĂ©sze körĂĽlveszi a fogyatĂ©kkal Ă©lĹ‘ vagy idĹ‘s felhasználĂłt, egyfajta intelligens környezetet biztosĂtva számára, mĂg más eszközök egy-egy funkciĂł gyakorlásában vagy valamilyen tevĂ©kenysĂ©g vĂ©gzĂ©sĂ©ben vannak használĂłik segĂtsĂ©gĂ©re. Az utolsĂł rĂ©szben áttekintĂ©st kapunk azokrĂłl a kritikus sikertĂ©nyezĹ‘krĹ‘l, melyek kulcsszerepet töltenek be abban, hogy mely termĂ©keket használnak csak szűk körben, Ă©s melyeket alkalmaznak Ă©s fogadnak el a speciális igĂ©nyű cĂ©lcsoportokban
Nyelvi elemek érzelmi töltetének vizsgálata és felhasználása természetes nyelvi dialógusrendszerben
Cikkünkben bemutatjuk az általunk fejlesztett BotCom beszélgető-rendszerbe integrált GALA érzelmi elemző és generáló alrendszert. Ennek funkciója az, hogy egy felhasználóval történő természetes nyelvi beszélgetés folyamatában a beszélgetés érzelmi rétegeit is figyelembe vegye a válaszadás során. A GALA többrétegű architektúrával rendelkezik, és az R. Plutchik féle érzelmi modellt használja. A rendszer jól használható rövid chat-dialógusok érzelmi rétegének kezelésére, melyből kinyert információval animált beszélgető partnert tudunk vezérelni
Abstract Dialogue Modeling in Embodied Communicational Agents
has to be able to carry out general chat conversations and domain specific discussions as well. The structure of the dialogue graph and the attributes of the graph nodes have to support the success of the conversation: user utterance understanding and responding, as well as repairing the “non-understanding ” situations. In the following sections we are briefly depicting the system and describe its dialogue knowledge base focusing on the different user interfaces we developed for its testing and building
Effect of a Single Neonatal Oxytocin Treatment (Hormonal Imprinting) on the Biogenic Amine Level of the Adult Rat Brain: Could Oxytocin-Induced Labor Cause Pervasive Developmental Diseases?
Perinatal single-hormone treatment causes hormonal imprinting with lifelong consequences in receptor-binding capacity, hormone production as well as in social and sexual behavior. In the present experiments, newborn rats were treated with a single dose of oxytocin, and the levels of biogenic amines and their metabolites were studied in 8 different brain regions and in the sera when the male and female animals were 4 months old. Both dopaminergic and serotonergic neurotransmission was found to be significantly influenced. The levels of 3,4-dihydroxyphenylacetic acid, homovanillic acid, and 5-hydroxyindole acetic acid metabolites decreased in the hypothalamus and striatum. Dopamine, serotonin, norepinephrine, and 5-hydroxytryptophol levels were hardly altered, and there was no difference in the epinephrine levels. The results show that dopamine and serotonin metabolism of hypothalamus and striatum are deeply and lifelong influenced by a single neonatal oxytocin treatment Oxytocin imprinting resulted in decreased dopamine turnover in the hypothalamus and decreased serotonin turnover in the hypothalamus, medulla oblongata, and striatum of females. As the disturbance of brain dopamine and serotonin system has an important role in the development of pervasive developmental diseases (eg, autism) and neuropsychiatric disorders (eg, schizophrenia), the growing number of oxytocin-induced labor as a causal factor, cannot be omitted