Conversational Systems
Incorporating Temporal and Semantic Information with Eye Gaze for Automatic Word Acquisition in Multimodal Conversational Systems
... As discussed above, based on translation models, we can incorporate temporal and domain semantic in- formation to obtain p(w|e). This probability only provides a means to ground words to entities. In ...
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Semantics based Representation for Multimodal Interpretation in Conversational Systems
... To support context-based multimodal interpre- tation in conversational systems, we have devel- oped a semantics-based representation to capture salient information from user inputs and the overall ...
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A Reinforcement Learning driven Translation Model for Search Oriented Conversational Systems
... Search-oriented conversational systems rely on information needs expressed in natural lan- guage (NL). We focus here on the understand- ing of NL expressions for building keyword- based queries. We propose ...
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Learning to Ask Questions in Open domain Conversational Systems with Typed Decoders
... As aforementioned, asking good questions in conversational systems requires to question with diversified patterns and address transitional topics naturally in a question. To this end, we classify the words ...
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Automated Vocabulary Acquisition and Interpretation in Multimodal Conversational Systems
... bust conversational interfaces. First of all, most conversational systems are built with static knowl- edge space ...with conversational interfaces becomes ...practical systems to ...
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Strategy and Policy Learning for Non Task Oriented Conversational Systems
... Non-task-oriented conversational systems do not have a stated goal to work ...task-oriented systems to act as a transition smoother or a rapport builder for com- plex tasks that require user ...
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Usability Testing of Spoken Conversational Systems
... If conversational interfaces have half the impact that futurists and science fiction writers predict, many more people will need to be versed in testing speech ...speech systems before jumping in with both ...
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A Salience Driven Approach to Robust Input Interpretation in Multimodal Conversational Systems
... This approach is based on the observation that, during multimodal conversation, information from deictic gestures e.g., point or circle on a graphical interface can signal a part of the [r] ...
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#MeToo: How Conversational Systems Respond to Sexual Harassment
... commercial systems are the only ones who present search ...Rule-based systems often provide no an- swer or ...commercial systems, adult bots also often humor- ously ...
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Extracting Clauses for Spoken Language Understanding in Conversational Systems
... Language Processing EMNLP, Philadelphia, July 2002, pp.. Proceedings of the Conference on Empirical Methods in Natural.[r] ...
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Are the Tools up to the Task? an Evaluation of Commercial Dialog Tools in Developing Conversational Enterprise grade Dialog Systems
... There has been a significant investment in di- alog systems (tools and runtime) for build- ing conversational systems by major compa- nies including Google, IBM, Microsoft, and Amazon. The question ...
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Robots to the Rescue: A Review of Studies on Differential Medical Diagnosis Employing Ontology-Based Chat Bot Technology
... While chatbots are not necessarily new technologies, and have been known since the 1960s, their current status as entities not merely artificial but enabled for more engaging interaction and incorporating human ‘traits’ ...
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A Repository of Conversational Datasets
... large conversational datasets may support modeling across a large spectrum of natural con- versational ...general-domain conversational models that are then fine-tuned towards specific tasks using much ...
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Structuring Latent Spaces for Stylized Response Generation
... lated to the present task, since persona is, broadly speaking, the manifestation of a type of style. Li et al. (2016b) feeds a speaker ID to the decoder to promote generation of response for that target speaker. However ...
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Analyzing Conversational Reasoning
... To characterize these arguments in the context of conversations, we adopted the standard logical vocabulary of argument, premise, and conclusion, while expanding tha[r] ...
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The case for the conversational construal
... understanding conversational organisation is the sequential aspects of talk, ...given conversational ‘turn’ has a bearing on the immediately subsequent ...but conversational context, within which ...
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Arabic Goal-oriented Conversational Agent Based on Pattern Matching and Knowledge Trees
... C. EVALUATION OF CONVERSATIONAL AGENTS Evaluation of CA’s takes place before releasing them for commercial usage. Both subjective and objective evaluations are usually conducted; however there is no standard ...
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Communication difficulties following right hemisphere stroke : applying evidence to clinical management
... Since many of the communication features often considered indicative of RHD are present in some NBD people also, evaluation should take account of the individual’s pre-stroke status. Someone who is a familiar ...
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A Diversity Promoting Objective Function for Neural Conversation Models
... learning conversational pat- terns from data: researchers have begun to explore data-driven generation of conversational responses within the framework of statistical machine transla- tion (SMT), either ...
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Open domain Utterance Generation for Conversational Dialogue Systems using Web scale Dependency Structures
... open-domain conversational dia- logue systems continues to grow. Such systems are beginning to be actively investigated from their social and entertainment aspects (Shibata et ...2012); ...
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