<![CDATA[UMBC ebiquity RSS Tag Search]]><![CDATA[From Strings to Things]]>
http://ebiquity.umbc.edu/event/html/id/483/From-Strings-to-Things
2016-07-14<![CDATA[Generic knowledge: acquisition and representation]]>
http://ebiquity.umbc.edu/event/html/id/319/Generic-knowledge-acquisition-and-representation
2009-10-06<![CDATA[Integrating Language Understanding Agents Into the Semantic Web]]>
http://ebiquity.umbc.edu/event/html/id/119/Integrating-Language-Understanding-Agents-Into-the-Semantic-Web
2005-10-26<![CDATA[Integrating language understanding agents in the Semantic Web]]>
http://ebiquity.umbc.edu/event/html/id/106/Integrating-language-understanding-agents-in-the-Semantic-Web
2005-05-17<![CDATA[Emerging Technologies from IBM Research for Mobile Workers]]>
http://ebiquity.umbc.edu/event/html/id/52/Emerging-Technologies-from-IBM-Research-for-Mobile-Workers
2004-10-13<![CDATA[Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe]]>
http://ebiquity.umbc.edu/paper/html/id/1052/Targeted-Knowledge-Infusion-To-Make-Conversational-AI-Explainable-and-Safe
2023-02-07<![CDATA[TDLR: Top (Semantic)-Down (Syntactic) Language Representation]]>
http://ebiquity.umbc.edu/paper/html/id/1048/TDLR-Top-Semantic-Down-Syntactic-Language-Representation
2022-11-28<![CDATA[KSAT: Knowledge-infused Self Attention Transformer -- Integrating Multiple Domain-Specific Contexts]]>
http://ebiquity.umbc.edu/paper/html/id/1046/KSAT-Knowledge-infused-Self-Attention-Transformer-Integrating-Multiple-Domain-Specific-Contexts
2022-10-09<![CDATA[Computational Understanding of Narratives: A Survey]]>
http://ebiquity.umbc.edu/paper/html/id/1033/Computational-Understanding-of-Narratives-A-Survey
2022-09-05<![CDATA[Understanding the Logical and Semantic Structure of Large Documents]]>
http://ebiquity.umbc.edu/paper/html/id/909/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents
2018-05-01<![CDATA[Deep Understanding of a Document's Structure]]>
http://ebiquity.umbc.edu/paper/html/id/785/Deep-Understanding-of-a-Document-s-Structure
2017-12-05<![CDATA[Cleaning Noisy Knowledge Graphs]]>
http://ebiquity.umbc.edu/paper/html/id/816/Cleaning-Noisy-Knowledge-Graphs
2017-10-22<![CDATA[Understanding the Logical and Semantic Structure of Large Documents]]>
http://ebiquity.umbc.edu/paper/html/id/784/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents
2017-09-03<![CDATA[Understanding the Logical and Semantic Structure of Large Documents]]>
http://ebiquity.umbc.edu/paper/html/id/786/Understanding-the-Logical-and-Semantic-Structure-of-Large-Documents
2017-04-27<![CDATA[Using a Natural Language Understanding System to Generate Semantic Web Content]]>
http://ebiquity.umbc.edu/paper/html/id/369/Using-a-Natural-Language-Understanding-System-to-Generate-Semantic-Web-Content
2007-11-01<![CDATA[From Strings to Things: Populating Knowledge Bases from Text]]>
http://ebiquity.umbc.edu/resource/html/id/369/From-Strings-to-Things-Populating-Knowledge-Bases-from-Text
2016-06-28<![CDATA[Integrating Language Understanding Agents into the Semantic Web]]>
http://ebiquity.umbc.edu/resource/html/id/156/Integrating-Language-Understanding-Agents-into-the-Semantic-Web
2005-11-05<![CDATA[Sixty years of knowledge graphs for language understanding]]>
http://ebiquity.umbc.edu/resource/html/id/392/Sixty-years-of-knowledge-graphs-for-language-understanding
2019-09-19<![CDATA[Structural Metadata from ArXiv Articles]]>
http://ebiquity.umbc.edu/resource/html/id/374/Structural-Metadata-from-ArXiv-Articles
2017-09-01