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	This ontology document is licensed under the Creative Commons
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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=speech">
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  <description><![CDATA[UMBC ebiquity RSS Tag Search for speech]]></description>
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    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/485/Generative-Adversarial-Networks-An-Introduction"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/483/From-Strings-to-Things"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/403/Mid-Atlantic-Student-Colloquium-on-Speech-Language-and-Learning"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/369/Machine-aided-human-translation-An-automated-system-for-transcribing-dictated-document-translations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/342/Cost-Sensitive-Information-Acquisition-for-Prediction"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/267/An-Investigation-of-Linguistic-Information-for-Speech-Recognition"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/208/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/97/Applying-Policy-Based-Access-Control-and-XML-Digital-Signatures-for-Security-in-Pervasive-Computing-Environments"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/89/Integrated-Development-Environment-for-Policies"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/52/Emerging-Technologies-from-IBM-Research-for-Mobile-Workers"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/44/agentSpeak"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/34/Rei-A-Policy-Specification-Language"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/58/Voice-of-WordNet"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1062/Bridging-the-Gap-Using-Deep-Acoustic-Representations-to-Learn-Grounded-Language-from-Percepts-and-Raw-Speech"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/951/Presentation-and-Analysis-of-a-Multimodal-Dataset-for-Grounded-Language-Learning"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/797/A-Semantically-Rich-Cognitive-Search-Assistant-For-Clinical-Notes"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/729/Event-Nugget-Detection-using-Thresholding-and-Classification-Techniques"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/527/Two-stream-indexing-for-spoken-web-search"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/428/An-Investigation-of-Linguistic-Information-for-Speech-Recognition-Error-Detection"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/366/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/273/Modeling-Conversation-Policies-using-Permissions-and-Obligations"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/226/Applying-Policy-Based-Access-Control-and-XML-Digital-Signatures-for-Security-in-Pervasive-Computing-Environments"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/225/An-integrated-development-environment-for-policies"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/369/From-Strings-to-Things-Populating-Knowledge-Bases-from-Text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/224/Rei-Ontology-Specifications-Ver-2-0"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/351/UMBC-webbase-corpus"/>
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 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/485/Generative-Adversarial-Networks-An-Introduction">
  <title><![CDATA[Generative Adversarial Networks, An Introduction]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/485/Generative-Adversarial-Networks-An-Introduction</link>
  <description><![CDATA[While deep learning has made historic improvements in speech recognition and object recognition in recent years, almost all of these gains have been in supervised learning of now fairly well understood discriminative models. In the larger context of machine learning, less is understood about both unsupervised and generative models, but Generative Adversarial Networks have emerged as a promising approach to making progress in that direction. 

We are going to introduce Generative Adversarial...]]></description>
  <dc:date>2017-02-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/483/From-Strings-to-Things">
  <title><![CDATA[From Strings to Things]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/483/From-Strings-to-Things</link>
  <description><![CDATA[The Web is the greatest source of general knowledge available today. Its current form, however, suffers from two limitations.  The first is that text and multimedia objects on the Web are easy for people to understand but difficult for machines to interpret and use.  The second is that the Web's access paradigm remains dominated by information retrieval, where keyword queries produce a ranked list of documents that must be read to find the desired information.  I'll discuss research in natura...]]></description>
  <dc:date>2016-07-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/403/Mid-Atlantic-Student-Colloquium-on-Speech-Language-and-Learning">
  <title><![CDATA[Mid-Atlantic Student Colloquium on Speech, Language and Learning]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/403/Mid-Atlantic-Student-Colloquium-on-Speech-Language-and-Learning</link>
  <description><![CDATA[The First Mid-Atlantic Student Colloquium on Speech, Language and Learning is a one-day event to be held at the Johns Hopkins University in Baltimore on Friday, 23 September 2011.  Its goal is to bring together students taking computational approaches to speech, language, and learning, so that they can introduce their research to the local student community, give and receive feedback, and engage each other in collaborative discussion.  Attendance is open to all and free but space is limited, ...]]></description>
  <dc:date>2011-09-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/369/Machine-aided-human-translation-An-automated-system-for-transcribing-dictated-document-translations">
  <title><![CDATA[Machine aided human translation - An automated system for transcribing dictated document translations]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/369/Machine-aided-human-translation-An-automated-system-for-transcribing-dictated-document-translations</link>
  <description><![CDATA[A model is presented for machine aided human translation (MAHT) that integrates source language text and target language acoustic information to produce the text translation of source language document. It is evaluated on a scenario where a human translator dictates a first draft target language translation of a source language document. Information obtained from the source language document, including translation probabilities derived from statistical machine translation (SMT) and named enti...]]></description>
  <dc:date>2010-10-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/342/Cost-Sensitive-Information-Acquisition-for-Prediction">
  <title><![CDATA[Cost-Sensitive Information Acquisition for Prediction]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/342/Cost-Sensitive-Information-Acquisition-for-Prediction</link>
  <description><![CDATA[Machine learning systems have been increasingly used in our day-to-day
activities now. Just a few examples include handwritten character
recognition systems, product recommendation systems, face detection
features of cameras, speech recognition in hands-free devices, document
ranking by search engines, fraudulent activity detection for credit card
transactions, spam detection, and medical diagnosis. A critical
component of a machine learning system is the "information" needed to
develo...]]></description>
  <dc:date>2010-04-21</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/267/An-Investigation-of-Linguistic-Information-for-Speech-Recognition">
  <title><![CDATA[An Investigation of Linguistic Information for Speech Recognition]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/267/An-Investigation-of-Linguistic-Information-for-Speech-Recognition</link>
  <description><![CDATA[After several decades of effort, speech recognition technologies have made
significant progress and various speech based applications have been
developed.  However, current speech recognition systems still generate
erroneous output, which hinders the wide adoption of speech applications. 
Given that speech recognition systems' goal of error-free output can not
be realized in near future, mechanisms for automatically detecting and
even correcting speech recognition errors are called on t...]]></description>
  <dc:date>2008-10-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/208/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System">
  <title><![CDATA[Blogvox2: A Modular Domain Independent Sentiment Analysis System]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/208/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and
Influencing the people.  Blogging by nature is about expressing
and listening to opinion, the job of a politician is to both
represent and lead the people, good sentiment detection tools,
for blogs and other social media, tailored to politics are a must
for today's society. With the elections around the corner,
political blogs are vital to exerting and keeping political
influence over society.  Currently, no sentiment analysis...]]></description>
  <dc:date>2007-06-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/97/Applying-Policy-Based-Access-Control-and-XML-Digital-Signatures-for-Security-in-Pervasive-Computing-Environments">
  <title><![CDATA[Applying Policy Based Access Control and XML Digital Signatures for Security in Pervasive Computing Environments]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/97/Applying-Policy-Based-Access-Control-and-XML-Digital-Signatures-for-Security-in-Pervasive-Computing-Environments</link>
  <description><![CDATA[Security and access control are one of the major issues within pervasive
computing environments such as Task Computing. There is a need of
unobtrusive and flexible access control and access to services has to be
restricted based on certain policies imposed by the organization (Fujitsu
in this case). The dynamic nature of pervasive computing environments also
requires the updating of policies on the fly.

REI developed at University of Maryland Baltimore County is an expressive
and ext...]]></description>
  <dc:date>2005-05-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/89/Integrated-Development-Environment-for-Policies">
  <title><![CDATA[Integrated Development Environment for Policies]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/89/Integrated-Development-Environment-for-Policies</link>
  <description><![CDATA[There has been growing interest in the use of policy-based governing
frameworks for management of a wide range of systems. These systems ranging
from simple and static to increasingly complex and dynamic have demanding
requirements that make the management of policies a complex task. Though tools
have been developed to facilitate policy frameworks, there is not much work in
policy development that meets the requirements of these policy-based
environments. Some of these requirements incl...]]></description>
  <dc:date>2005-03-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/52/Emerging-Technologies-from-IBM-Research-for-Mobile-Workers">
  <title><![CDATA[Emerging Technologies from IBM Research for Mobile Workers]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/52/Emerging-Technologies-from-IBM-Research-for-Mobile-Workers</link>
  <description><![CDATA[This talk will include a presentation of several emerging technologies
from IBM Research related to supporting the way knowledge workers work
today including:

 MySpace, a web portal solution that supports personalized,
     role-based access to aplications through an interactive
     visualization of the physical space. MySpace combines localization
     information for colleagues, rooms and devices while aggregating
     data from various sources through a novel and simplified inter...]]></description>
  <dc:date>2004-10-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/44/agentSpeak">
  <title><![CDATA[agentSpeak]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/44/agentSpeak</link>
  <description><![CDATA[Several manufacturers offer Bluetooth enabled wireless headsets, such
as Jabra's FreeSpeak
and products made by Plantronics and others . There
are intended to be used to connect with phones, but could also be used
to send and receive audio to computers.  This project will involve (1)
writing some low level drivers for the desired OS (linux?), (ii)
hooking up the drivers to some interesting applications (listen to
MP3's?  Interface to a speech understanding system) and (iii)
demonstrat...]]></description>
  <dc:date>2003-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/34/Rei-A-Policy-Specification-Language">
  <title><![CDATA[Rei : A Policy Specification Language]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/34/Rei-A-Policy-Specification-Language</link>
  <description><![CDATA[Security is a critical problem in dynamic and open distributed
environments such as those enabled by the semantic web and pervasive computing technologies. The presence of heterogeneous entities that
are neither pre-determined nor permanent, and the lack of central
control are some of its challenges.  We believe that declarative
policies address this problem while maintaining openness and
flexibility.  We propose the use of policies defined in OWL to
constrain the behavior of entities i...]]></description>
  <dc:date>2002-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/58/Voice-of-WordNet">
  <title><![CDATA[Voice of WordNet]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/58/Voice-of-WordNet</link>
  <description><![CDATA[This is part hacking and part art.  Construct a multimedia, interactive visualization of the wordnet ontology.  The system would display a part of the wordnet graph centered on a particular lexical entry.  It would vocalize part of the entries definition via a standard text to speech application.  After some time (e.g., 10 seconds),  a random neighbor in the graph would be selected and the process repeated. Occasionally, the entire process would start over focused on a random entry to avoid b...]]></description>
  <dc:date>2004-12-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1062/Bridging-the-Gap-Using-Deep-Acoustic-Representations-to-Learn-Grounded-Language-from-Percepts-and-Raw-Speech">
  <title><![CDATA[Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1062/Bridging-the-Gap-Using-Deep-Acoustic-Representations-to-Learn-Grounded-Language-from-Percepts-and-Raw-Speech</link>
  <description><![CDATA[Learning to understand grounded language, which connects natural language to percepts, is a critical research area. Prior work in grounded language acquisition has focused primarily on textual inputs. In this work, we demonstrate the feasibility of performing grounded language acquisition on paired visual percepts and raw speech inputs. This will allow human-robot interactions in which language about novel tasks and environments is learned from end-users, reducing dependence on textual inputs...]]></description>
  <dc:date>2022-06-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/951/Presentation-and-Analysis-of-a-Multimodal-Dataset-for-Grounded-Language-Learning">
  <title><![CDATA[Presentation and Analysis of a Multimodal Dataset for Grounded Language Learning]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/951/Presentation-and-Analysis-of-a-Multimodal-Dataset-for-Grounded-Language-Learning</link>
  <description><![CDATA[Grounded language acquisition -- learning how language-based interactions refer to the world around them -- is a major area of research in robotics, NLP, and HCI. In practice, the data used for learning consists almost entirely of textual descriptions, which tend to be cleaner, clearer, and more grammatical than actual human interactions. In this work, we present the Grounded Language Dataset (GoLD), a multimodal dataset of common household objects described by people using either spoken or w...]]></description>
  <dc:date>2020-07-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/797/A-Semantically-Rich-Cognitive-Search-Assistant-For-Clinical-Notes">
  <title><![CDATA[A Semantically Rich Cognitive Search Assistant For Clinical Notes]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/797/A-Semantically-Rich-Cognitive-Search-Assistant-For-Clinical-Notes</link>
  <description><![CDATA[There are many use cases in the medical industry and in research that require clinical information extraction from the narrative notes in electronic medical records. Significant advances have been made in recent years from using clinical text processing systems which rely heavily on the natural language processing pipeline of sentence segmentation, tokenization, part-of-speech tagging, and dependency parsing.  This approach relies on the text conforming to the rules of grammar in order fo...]]></description>
  <dc:date>2017-04-29</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/729/Event-Nugget-Detection-using-Thresholding-and-Classification-Techniques">
  <title><![CDATA[Event Nugget Detection using Thresholding and Classification Techniques]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/729/Event-Nugget-Detection-using-Thresholding-and-Classification-Techniques</link>
  <description><![CDATA[This paper describes our Event Nugget Detection system that we submitted to the TAC KBP 2015. We considered the problem as document classification problem. We used confidence scores from classifier to detect the event by thresholding. Our feature vectors consist of event nugget context, part of speech tags of event nugget context and semantic similarity score between event nugget and event subtypes.  Our performance was low; we got F1 measure of 0.33 for both event nugget detection task and c...]]></description>
  <dc:date>2015-11-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/527/Two-stream-indexing-for-spoken-web-search">
  <title><![CDATA[Two-stream indexing for spoken web search]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/527/Two-stream-indexing-for-spoken-web-search</link>
  <description><![CDATA[This paper presents two-stream processing of audio to index the audio content for Spoken Web search. The first stream indexes the meta-data associated with a particular audio document. The meta-data is usually very sparse, but accurate. This therefore results in a high-precision, low-recall index. The second stream uses a novel language-independent speech recognition to generate text to be indexed. Owing to the multiple languages and the noise in user generated content on the Spoken Web, the ...]]></description>
  <dc:date>2011-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/428/An-Investigation-of-Linguistic-Information-for-Speech-Recognition-Error-Detection">
  <title><![CDATA[An Investigation of Linguistic Information for Speech Recognition Error Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/428/An-Investigation-of-Linguistic-Information-for-Speech-Recognition-Error-Detection</link>
  <description><![CDATA[After several decades of effort, signiﬁcant progress has been made in the area of speech recognition technologies, and various speech-based applications have been developed. However, current speech recognition systems still generate erroneous output, which hinders the wide adoption of speech applications. Given that the goal of error-free output can not be realized in near future, mechanisms for automatically detecting and even correcting speech recognition errors may prove useful for amend...]]></description>
  <dc:date>2008-10-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/366/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System">
  <title><![CDATA[Blogvox2: A Modular Domain Independent Sentiment Analysis System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/366/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-06-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/273/Modeling-Conversation-Policies-using-Permissions-and-Obligations">
  <title><![CDATA[Modeling Conversation Policies using Permissions and Obligations]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/273/Modeling-Conversation-Policies-using-Permissions-and-Obligations</link>
  <description><![CDATA[Both conversation specifications and policies are required to facilitate
effective agent communication. Specifications provide the order in which
speech acts can occur in a meaningful conversation, whereas policies restrict
the specifications that can be used in a certain conversation based
on the sender, receiver, messages exchanged thus far, content, and other
context. We propose that positive/negative permissions and obligations
be used to model conversation specifications and polici...]]></description>
  <dc:date>2007-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/226/Applying-Policy-Based-Access-Control-and-XML-Digital-Signatures-for-Security-in-Pervasive-Computing-Environments">
  <title><![CDATA[Applying Policy Based Access Control and XML Digital Signatures for Security in Pervasive Computing Environments]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/226/Applying-Policy-Based-Access-Control-and-XML-Digital-Signatures-for-Security-in-Pervasive-Computing-Environments</link>
  <description><![CDATA[Security and access control are one of the major issues within pervasive computing environments such as Task Computing. There is a need of unobtrusive and flexible access control and access to services has to be restricted based on certain policies imposed by the organization (Fujitsu in this case). The dynamic nature of pervasive computing environments also requires the updating of policies on the fly. 

REI developed at University of Maryland Baltimore County is an expressive and extensib...]]></description>
  <dc:date>2005-05-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/225/An-integrated-development-environment-for-policies">
  <title><![CDATA[An integrated development environment for policies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/225/An-integrated-development-environment-for-policies</link>
  <description><![CDATA[There has been growing interest in the use of policy-based governing
frameworks for management of a wide range of systems. These systems
ranging from simple and static to increasingly complex and dynamic
have demanding requirements that make the management of policies a
complex task. Though tools have been developed to facilitate policy
frameworks, there is not much work in policy development that meets
the requirements of these policy-based environments. Some of these
requirements inc...]]></description>
  <dc:date>2005-03-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs">
  <title><![CDATA[BlogVox2: Sentiment Detection in Political Blogs]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-07-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs">
  <title><![CDATA[BlogVox2: Sentiment Detection in Political Blogs]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-07-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/369/From-Strings-to-Things-Populating-Knowledge-Bases-from-Text">
  <title><![CDATA[From Strings to Things: Populating Knowledge Bases from Text]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/369/From-Strings-to-Things-Populating-Knowledge-Bases-from-Text</link>
  <description><![CDATA[The Web is the greatest source of general knowledge available today. Its current form, however, suffers from two limitations.  The first is that text and multimedia objects on the Web are easy for people to understand but difficult for machines to interpret and use.  The second is that the Web's access paradigm remains dominated by information retrieval, where keyword queries produce a ranked list of documents that must be read to find the desired information.  I'll discuss research in natura...]]></description>
  <dc:date>2016-06-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/224/Rei-Ontology-Specifications-Ver-2-0">
  <title><![CDATA[Rei Ontology Specifications, Ver 2.0]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/224/Rei-Ontology-Specifications-Ver-2-0</link>
  <description><![CDATA[Rei is a policy specification language in OWL-Lite that allows users to develop declarative policies over domain specific ontologies in RDF, DAML+OIL and OWL.

Rei is used to describe positive and negative permissions and obligations of entities in the policy domain. A distinguishing feature of Rei is that it includes specifications for speech acts, policy analysis and conflict resolution. The speech included are delegation, revocation, request and cancel and are used for remote policy mana...]]></description>
  <dc:date>2007-05-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/351/UMBC-webbase-corpus">
  <title><![CDATA[UMBC webbase corpus]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/351/UMBC-webbase-corpus</link>
  <description><![CDATA[The UMBC webBase corpus (http://ebiq.org/r/351) is a dataset containing a collection of English paragraphs with over  three billion words processed from the February 2007 crawl from the  Stanford WebBase project (http://bit.ly/WebBase).  Compressed, it is about 13GB in size.

It was derived from  the February 2007 crawl, which is one of the
largest collections and contains 100 million web
pages from more than 50,000 websites. The Stanford WebBase project did an excellent job in extrac...]]></description>
  <dc:date>2013-04-09</dc:date>
 </item>
</rdf:RDF>
