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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=lexicon">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=lexicon]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for lexicon]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/466/PhD-defense-Lushan-Han-Schema-Free-Querying-of-Semantic-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/319/Generic-knowledge-acquisition-and-representation"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/276/Textual-Representations-for-Corpus-Based-Bilingual-Retrieval"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/249/Using-Automatic-Word-Sense-Discrimination-to-generate-a-Semantic-Lexicon"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/9/Why-Deep-Semantics-for-Natural-Language-Processing-"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/658/Schema-Free-Querying-of-Semantic-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/369/Using-a-Natural-Language-Understanding-System-to-Generate-Semantic-Web-Content"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/328/Using-a-Natural-Language-Understanding-System-to-Generate-Semantic-Web-Content"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1083/BUP-a-Bottom-Up-Parser"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/466/PhD-defense-Lushan-Han-Schema-Free-Querying-of-Semantic-Data">
  <title><![CDATA[PhD defense: Lushan Han, Schema Free Querying of Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/466/PhD-defense-Lushan-Han-Schema-Free-Querying-of-Semantic-Data</link>
  <description><![CDATA[Schema Free Querying of Semantic Data

Lushan Han

Developing interfaces to enable casual, non-expert users to query complex structured data has been the subject of much research over the past forty years. We refer to them as as schema-free query interfaces, since they allow users to freely query data without understanding its schema, knowing how to refer to objects, or mastering the appropriate formal query language. Schema-free query interfaces address fundamental problems in natural la...]]></description>
  <dc:date>2014-05-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/319/Generic-knowledge-acquisition-and-representation">
  <title><![CDATA[Generic knowledge: acquisition and representation]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/319/Generic-knowledge-acquisition-and-representation</link>
  <description><![CDATA[AI is beginning to make some dents in the "knowledge acquisition bottleneck", the problem of acquiring large amounts of general world knowledge to support language understanding and commonsense reasoning. Two text-based approaches to the problem are (1) to abstract such knowledge from patterns of predication and modification in miscellaneous texts, and (2) to derive such knowledge by direct interpretation of general statements in ordinary language, such as are found in lexicons and resources ...]]></description>
  <dc:date>2009-10-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/276/Textual-Representations-for-Corpus-Based-Bilingual-Retrieval">
  <title><![CDATA[Textual Representations for Corpus-Based Bilingual Retrieval]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/276/Textual-Representations-for-Corpus-Based-Bilingual-Retrieval</link>
  <description><![CDATA[The traditional approach to information retrieval is based on using
words as the indexing and search terms for documents. One part of this
research investigates alternative methods for representing text,
including a method based on overlapping sequences of characters called
n-gram tokenization. N-grams are studied in depth and one notable
finding is that they achieve a 20% improvement in retrieval
effectiveness over words in certain situations.

The other focus of this research is imp...]]></description>
  <dc:date>2008-11-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/249/Using-Automatic-Word-Sense-Discrimination-to-generate-a-Semantic-Lexicon">
  <title><![CDATA[Using Automatic Word Sense Discrimination to generate a  Semantic Lexicon]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/249/Using-Automatic-Word-Sense-Discrimination-to-generate-a-Semantic-Lexicon</link>
  <description><![CDATA[Automatic word sense discrimination is the process of distinguishing the 
number of unique senses of a target word in a given corpus. This work 
approaches word sense discrimination as an unsupervised clustering 
problem on the context of the target word in web documents.
Using the features from the computed clusters, the system constructs a 
new lexicon entry for the target word which includes the semantic and 
syntactic constraints for each discriminated sense. The lexicon entries 
a...]]></description>
  <dc:date>2008-07-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/9/Why-Deep-Semantics-for-Natural-Language-Processing-">
  <title><![CDATA[Why Deep Semantics for Natural Language Processing?]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/9/Why-Deep-Semantics-for-Natural-Language-Processing-</link>
  <description><![CDATA[This talk will provide an overview of the program of work in semantics-based natural language processing being carried out at the Institute for Language and Information Technologies at UMBC. I will describe the Ontological Semantic text-processing environment, which seeks to create high-quality semantic representations of texts using a language-independent world model (ontology), lexicons for each language processed, a fact repository of real-world knowledge, and a suite of processors. I will...]]></description>
  <dc:date>2004-01-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/658/Schema-Free-Querying-of-Semantic-Data">
  <title><![CDATA[Schema Free Querying of Semantic Data]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/658/Schema-Free-Querying-of-Semantic-Data</link>
  <description><![CDATA[Developing interfaces to enable casual, non-expert users to query complex structured data has been the subject of much research over the past forty years. Since such interfaces allow users to freely query data without understanding its schema, knowing how to refer to objects, or mastering the appropriate formal query language, we call them as schema-free query interfaces. Schema-free query interface systems address a fundamental problem in NLP, Database and AI - to bridge the user conceptual ...]]></description>
  <dc:date>2014-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/369/Using-a-Natural-Language-Understanding-System-to-Generate-Semantic-Web-Content">
  <title><![CDATA[Using a Natural Language Understanding System to Generate Semantic Web Content]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/369/Using-a-Natural-Language-Understanding-System-to-Generate-Semantic-Web-Content</link>
  <description><![CDATA[We describe our research on automatically generating rich semantic annotations of text and making it available on the Semantic Web. In particular, we discuss the challenges involved in adapting the OntoSem natural language processing system for this purpose. OntoSem, an implementation of the theory of ontological semantics under continuous development for over fifteen years, uses a specially constructed NLP-oriented ontology and an ontologicalsemantic lexicon to translate English text into a ...]]></description>
  <dc:date>2007-11-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/328/Using-a-Natural-Language-Understanding-System-to-Generate-Semantic-Web-Content">
  <title><![CDATA[Using a Natural Language Understanding System to Generate Semantic Web Content]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/328/Using-a-Natural-Language-Understanding-System-to-Generate-Semantic-Web-Content</link>
  <description><![CDATA[We describe our research on automatically generating rich semantic 
annotations of text and making it available on the Semantic Web.
In particular, we discuss the challenges 
involved in adapting the OntoSem natural
language processing system for this purpose. OntoSem, an implementation of
the theory of ontological semantics under continuous development for over 
15 years, uses a specially constructed NLP-oriented ontology and an 
ontological-semantic lexicon to translate English
text...]]></description>
  <dc:date>2006-10-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1083/BUP-a-Bottom-Up-Parser">
  <title><![CDATA[BUP, a Bottom Up Parser]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1083/BUP-a-Bottom-Up-Parser</link>
  <description><![CDATA[BUP is a bottom-up syntactic analyzer that can be used in several ways: as a simple bottom-up parser for context-free languages, as a bottom-up parser for extended-phrase structure grammars (equivalent in power to an ATN), or as a transducer for either. BUP accepts a grammar and lexicon specified as rules. It will then analyze input strings according to those rules, recording its findings in a chart and producing all analyses in parallel. Rules can be displayed, added, or deleted incrementall...]]></description>
  <dc:date>1984-11-02</dc:date>
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