The CALO Meeting Assistant System

Tür, Gökhan; Stolcke, Andreas; Voss, Leann; Peters, Stanley; Hakkani‐Tür, Dilek; Dowding, John; Favre, Benoît; Fernández, Raquel; Frampton, Matthew; Frandsen, Michael; Frederickson, C.; Graciarena, Martin; Kintzing, D.; Leveque, K.; Mason, Shane; Niekrasz, John; Purver, Matthew; Riedhammer, Korbinian; Shriberg, Elizabeth; Tien, Jing; Vergyri, Dimitra; Yang, Fan

doi:10.1109/tasl.2009.2038810

Cited by 74 publications

(29 citation statements)

References 45 publications

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“…The recent CALO meeting assistant [15] is also quite similar to ours. However, while they do perform an arguably more refined semantic analysis on the transcript, in term of topic identification and segmentation, question-answer pair identification, as well as the detection of addressees, action items and decisions, they only provide extractive summaries of the conversation.…”

Section: Related Worksupporting

confidence: 82%

A Visual Interface for Analyzing Text Conversations

Rashid

Carenini

2013

Lecture Notes in Business Information Processing

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Abstract. This paper presents a visual, intelligent interface intended to help user analyze possibly long and complex conversations. So far, the interface can only deal with synchronous conversations, but most of its components could be also applied to asynchronous conversations such as blogs and emails. In a Business Intelligent scenario, our interface could support the analysis of real-time conversation occurring for instance in blogs, discussion fora, or in sites intended to collect customer feedback. The design of our interface aims to effectively combine the power of human perceptual and cognitive skills with the ability of Natural Language Processing (NLP) techniques to mine and summarize text. Since we are targeting a large user population, with no, or minimal expertise in data analysis, we selected interface elements based on simple and common visual metaphors. Furthermore, to accommodate for user differences in such a large population, we provided users with the ability to satisfy the same information needs in different ways. We have tested our interface in a formative user study, in which participants used the interface to analyze four long and complex conversations, in order to answer questions addressing specific information needs in a business scenario. This evaluation revealed that the interface is intuitive, easy to use and provides the tools necessary for the task. Participants also found all the interface components quite useful, with the main problems coming from inaccuracies in the information extraction process, as well as from deficiencies in the generated summaries. Finally, it seems that the choice of offering redundant functionalities was beneficial. The logged interaction behaviors reveal that different users actually selected very different strategies, even independently from their performance. And this was consistent with the high variability in the user preferences for the different interface components.

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Section: Related Worksupporting

confidence: 82%

A Visual Interface for Analyzing Text Conversations

Rashid

Carenini

2013

Lecture Notes in Business Information Processing

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“…60, 74 and 61) in order to communicate the vision for personalized task management assistance. h Although CALO does have facilities for natural language understanding, 90 we need not envision use of such a modality here. tended processes, as opposed to merely assisting with one-shot tasks.…”

Section: In Due Course As Applications Are Received Via the Company mentioning

confidence: 99%

“…a Complementing PExA's capabilities for task management in CALO are a meeting assistant 90 and an information assistant. 10 The meeting assistant is designed to enhance a user's participation in a meeting through mechanisms that track the topics that are discussed, the participants' positions on them, and any resultant decisions.…”

Section: Introductionmentioning

confidence: 99%

The Design of a Proactive Personal Agent for Task Management

Yorke-Smith

Saadati

Myers

et al. 2012

Int. J. Artif. Intell. Tools

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Personal assistant agents capable of proactively offering assistance can be more helpful to their users through their ability to perform tasks that otherwise would require user involvement. This article characterizes the properties desired of proactive behavior by a personal assistant agent in the realm of task management and develops an operational framework to implement such capabilities. We present an extended agent architectural model that features a meta-level layer charged with identifying potentially helpful actions and determining when it is appropriate to perform them. The reasoning that answers these questions draws on a theory of proactivity that describes user desires and a model of helpfulness. Operationally, assistance patterns represent a compiled form of this knowledge, instantiating meta- * Authors listed in reverse alphabetical order. 1250004-1N. Yorke-Smith et al.reasoning over the agent's beliefs about its user's activities as well as over world state. The resulting generic framework for proactive goal generation and deliberation has been implemented as part of a personal assistant agent in the computer desktop domain.

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“…This model is very similar in spirit to the IBIS model and is also grounded in a fully fledged dialogue theory. This model has been adopted in the CALO Meeting Assistant System (Tür et al 2010), which has as a goal the real-time reconstruction of an argumentative structure by overhearing discussions in design meetings.…”

Section: Argumentative Models Of Conversationsmentioning

confidence: 99%

Automatic argumentative analysis for interaction mining

Pallotta¹,

Delmonte

2011

Argument & Computation

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Interaction mining is about discovering and extracting insightful information from digital conversations, namely those human-human information exchanges mediated by digital network technology. We present in this article a computational model of natural arguments and its implementation for the automatic argumentative analysis of digital conversations, which allows us to produce relevant information to build interaction business analytics applications overcoming the limitations of standard text mining and information retrieval technology. Applications include advanced visualisations and abstractive summaries.

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The CALO Meeting Assistant System

Cited by 74 publications

References 45 publications

A Visual Interface for Analyzing Text Conversations

A Visual Interface for Analyzing Text Conversations

The Design of a Proactive Personal Agent for Task Management

Automatic argumentative analysis for interaction mining

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