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This paper describes an initial prototype demonstrator of a Companion, designed as a platform for novel approaches to the following: 1) The use of Information Extraction (IE) techniques to extract the content of incoming dialogue utterances after an Automatic Speech Recognition (ASR) phase, 2) The conversion of the input to Resource Descriptor Form...
Citations
... Berger (2014) summarized the following preprocessing tasks of dialog systems: sentence detection, co-resolution, tokenization, lemmatization, POS-tagging, dependency parsing, named entity recognition, semantic role labeling. We found that the dialog systems mostly deployed the following natural language preprocessing tasks: Tokenization (Veselov, 2010;Wilks et al., 2010;Eugene, 2014;Bogatu et al., 2015;Amilon, 2015), POS-Tagging ( Lasguido et al., 2013;Dingli et al., 2013;Higashinaka et al., 2014;Ravichandran et al., 2015), sentence detection or chunking ( Latorre-Navarro et al., 2015), Named Entity Recognition ( Wilks et al., 2010;Lasguido et al., 2013). Natural Language Understanding. ...
... Berger (2014) summarized the following preprocessing tasks of dialog systems: sentence detection, co-resolution, tokenization, lemmatization, POS-tagging, dependency parsing, named entity recognition, semantic role labeling. We found that the dialog systems mostly deployed the following natural language preprocessing tasks: Tokenization (Veselov, 2010;Wilks et al., 2010;Eugene, 2014;Bogatu et al., 2015;Amilon, 2015), POS-Tagging ( Lasguido et al., 2013;Dingli et al., 2013;Higashinaka et al., 2014;Ravichandran et al., 2015), sentence detection or chunking ( Latorre-Navarro et al., 2015), Named Entity Recognition ( Wilks et al., 2010;Lasguido et al., 2013). Natural Language Understanding. ...
... The quantitative method makes use of dialog protocols generated by conversations between the user and the system. Examples of conversational systems that have been evaluated using this method include RAILTEL ( Bennacef et al., 1996), Max ( Kopp et al., 2005), HumoristBot ( Augello et al., 2008), Senior Companion ( Wilks et al. 2010;, SimStudent ( MacLellan et al., 2014), Betty's Brain ( Leelawong et al., 2008;Biswas et al., 2005), CALMsystem ( Kerly et al., 2007), Discussion-Bot ( Feng et al., 2007), the dialogue system of Planells et al. (2013), or Albert ( Latorre-Navarro et al., 2015). The third evaluation method deploys pre-and post-tests. ...
During the last 50 years, since the development of ELIZA by Weizenbaum, technologies for developing conversational systems have made a great stride. The number of conversational systems is increasing. Conversational systems emerge almost in every digital device in many application areas. In this paper, we present the review of the development of conversational systems regarding technologies and their special features including language tricks.
... The quantitative method makes use of dialog protocols generated by conversations between the user and the system. Examples of conversational systems that have been evaluated using this method include RAILTEL ( Bennacef et al. 1996), Max ( Kopp et al. 2005), HumoristBot ( Augello et al. 2008), Senior Companion ( Wilks et al. 2010Wilks et al. , 2008), SimStudent ( MacLellan et al. 2014), Betty's Brain ( Leelawong et al. 2008;Biswas et al. 2005), CALMsystem (Kerly et al. 2007), Discussion-Bot ( Feng et al. 2007), the dialogue system of Planells et al. (2013), or Albert (Latorre- ). ...
These proceedings consist of 19 papers, which have been peer-reviewed by international program committee and selected for the 5th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2017), which was held on June 30–July 1, 2017 in Berlin, Germany. The respective chapters discuss both theoretical and practical issues in connection with computational methods and optimization methods for knowledge engineering. The broad range of application areas discussed includes network computing, simulation, intelligent and adaptive e-learning, information retrieval, sentiment analysis, autonomous underwater vehicles, social media analysis, natural language processing, biomimetics in organizations, and cash management.
In addition to pure content, the book offers many inspiring ideas and suggests new research directions, making it a valuable resource for graduate students, Ph.D. students, and researchers in Computer Science and Applied Mathematics alike.
In recent years, considerable amount of research has been dedicated to the integration of artificial cognitive functionalities into informatics. With the immense growth in volume of cognitive content handled by both artificial and natural cognitive systems, the scientific treatment of new and efficient communication forms between such cognitive systems is inevitable. In this paper, we provide the first definition of cognitive infocommunications, a multidisciplinary field which aims to expand the information space between communicating cognitive systems (artificial or otherwise). Following this definition, we specify the modes and types of communication which make up cognitive infocommunications. Through a number of examples, we describe what is expected from this new discipline in further detail.
