Demo

Natural Language Processing

Posted by on Oct 4, 2017 in Demo | 0 comments

Natural Language Processing

Natural Language Understanding covers a wide spectrum of Natural Language Processing and Machine Learning applications ranging from text categorization to complex tasks such as document comprehension. Complexity of the application determines the breadth and the depth of the required language understanding; however, it invariably involves mapping the surface form (text) to an application-internal semantic representation (categorization label, sequence of domain-specific concepts, domain-independent representations such as rhetoric relations,...

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Conversational Machines

Posted by on Oct 3, 2017 in Demo | 0 comments

Conversational Machines

A conversational agent is a software that is able to answer specific or generic users requests, to interact and to help accomplish his or her goals. These goals maybe explicitly defined as in the case of an artificial intelligent agent helping users plan for a vacation trip. In other cases goals may not have been clearly defined as in a problem solving task or in a socially entertaining robot interaction. The complexity of this system varies a lot and include the ability to process a multimodal human inputs, acoustic scene sensors and...

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Affective Analysis and Summarization of Conversations

Posted by on Oct 2, 2017 in Demo | 0 comments

Affective Analysis and Summarization of Conversations

ith the expansion of the call center industry, spoken conversation data is being generated in overwhelming amounts. In call centers, where the goals are to evaluate the expertise of operators, as well as to understand the content of the call in terms of topics, callers’ concerns and emotions, an automatic summary should contain a range of indicators that are useful for monitoring call quality addressing all these aspects. The SENSEI automatic spoken conversation summary is organized in terms of several dimensions -– objective...

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Personal Healthcare Agents (PHA)

Posted by on Oct 1, 2017 in Demo | 0 comments

Personal Healthcare Agents (PHA)

“Agent” is an overloaded term in the computer science and artificial intelligence domain. More recently researchers and practitioners have become acquainted to interact with digital agents, to speak natural language and have relatively simple tasks executed. Such agents can retrieve contacts, set alarms, provide driving directions to your work location and occasionally surprise with funny jokes.  This current state-of the-art has been a tremendous achievement following decades of research in the past 50 years [Riccardi , 2014]. Personal...

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Broadcast News Summarization

Posted by on Sep 24, 2017 in Demo | 0 comments

Broadcast News Summarization

With the growing importance of Internet, there is a constantly growing amount of multimedia being generated, such as broadcast tv and radio programs, vlogs, etc. Being able to efficiently summarize the content of such sources of information has the potential to affect various sectors. The primary carrier of information in such sources is speech. Thus, the broadcast news processing is essentially an extractive speech summarization. It involves tasks such as Automatic Speech Recognition, Topic Segmentation, Extractive Summarization; and other...

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Social Media Analytics and Summarization

Posted by on Sep 23, 2017 in Demo | 0 comments

Social Media Analytics and Summarization

Social Media Analytics is the process of “extracting valuable hidden insights from vast amounts of semi-structured and unstructured social media data to enable informed and insightful decision making” (Khan, 2015). Since huge portion of social media data exists in a form of a conversation (e.g. Tweets, forums, etc.), one aspect of analytics is the summarization of these conversations. Social Media Conversation Summarization Summarization of social media conversations produces the “Town Hall Summary” that a) identifies...

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