In order for conversational AI systems to hold more natural and broad-ranging conversations, they will require much commonsense, including the ability identify unstated presumptions of their partners. For example, in command "If it snows at night then wake me up early because I don't want be late work" speaker relies on commonsense reasoning listener infer implicit presumption that wish woken o...

There has been considerable interest recently in the processing of affect in spoken interactions. This paper presents an analysis of some conversational speech corpus data showing that the four prosodic characteristics, duration, pitch, power, and voicing all vary significantly according to both interlocutor differences and differences in familiarity over a fixed period of time with the same in...

This paper describes the use of phrase-sized segments for the concatenative synthesis of conversational speech and discusses the differences in selection criteria that become necessary when the source corpus contains several years of conversational speech samples. It claims that naturalsounding conversational speech can be reproduced by use of such phrase-sized chunks for concatenation, and tha...

In our work with conversational recommender systems we have derived two dialogue strategies called interview and delivery. We explore the symmetry between preferential interview and traditional clarification questions, and arrive at basic interview and delivery strategies suitable for conversational recommender system implementations. The strategies are based on a corpus analysis of recommendat...

The conversational agent understands and provides users with proper information based on natural language. Conventional agents based on pattern matching have many restrictions to manage various types of real dialogues and to improve the answering performance. For the effective construction of conversational agents, we propose a domain-adaptive conversational agent that infers the user’s intenti...

Conversational case-based reasoning (CBR) systems, which incrementally extract a query description through a user-directed conversation , are advertised for their ease of use. However, designing large case libraries that have good performance (i.e., precision and querying ee-ciency) is diicult. CBR vendors provide guidelines for designing these libraries manually, but the guidelines are diicult...

This paper introduces a Vietnamese text-based conversational agent architecture on specific knowledge domain which is integrated in a question answering system. When the question answering system fails to provide answers to users’ input, our conversational agent can step in to interact with users to provide answers to users. Experimental results are promising where our Vietnamese text-based con...

In this paper we present a framework for conversational awareness and conflict resolution in spoken dialogue systems for home care assistance. Conversational awareness is supported through OWL ontologies for capturing conversational modalities, while interpretation and incremental context enrichment is facilitated through Description Logics reasoning. Conflict resolution further assists the int...

In Voice over IP, the quality of interactive conversation is important to users. Major factors affecting perceived quality are delay, delay jitter, and missing packets. For conversational VoIP, a conversational delay also plays an important role for perceived quality. Large conversational delay can result in double talk, echo or even the termination of the conversation. In practice, a playout b...

This report compared production of infinitival object complements during conversational language sampling to production on an elicitation task. Subjects included 25 children between the ages of 3;7 and 5;4. The children produced more two-noun infinitives and produced infinitives with more main verbs on the elicitation task. In the conversational samples, the children produced infinitives almost...