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tac.tex
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tac.tex
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\documentclass{beamer}
\usepackage[utf8]{inputenc}
\usepackage{default}
\usetheme{Warsaw}
\begin{document}
\begin{frame}{Cold Start Knowledge Base Population at 2014}
\begin{itemize}
\item Knowledge Base Population (KBP) track of TAC encourages the development of systems that can match entities mentioned in natural texts with those
appearing in a knowledge base and extract novel information about entities from a document collection and add it to a new or existing knowledge base. \pause
\item Some example relations:
\begin{itemize}
\item children of
\item city of birth
\item shareholders
\item countries of residence
\end{itemize}
\end{itemize}
\end{frame}
\begin{frame}
\begin{itemize}
\item Modeled the problem using distant supervision
\item Used Freebase as an existing Knowledge base.
\item \textbf{Freebase: }Freebase is a large collaborative knowledge base consisting of metadata composed mainly by its community members.
\item It is an online collection of structured data harvested from many sources, including individual, user-submitted wiki contributions.
\end{itemize}
\end{frame}
\begin{frame}{Corpus}
\begin{itemize}
\item The TAC corpus consisted of three type of documents: \pause
\begin{itemize}
\item \textbf{discussion forums } 99,063 English discussion forum documents selected from the BOLT Phase 1 discussion forums source data releases. Each forum includes at least 5 posts. \pause
\item \textbf{newswire } 1,000,257 documents selected from English Gigaword Fifth Edition. \pause
\item \textbf{web} 999,999 English web documents selected from various GALE web collections. \pause
\end{itemize}
\item We have submitted the knowledge base populated using our techniques on the above corpus and waiting for results.
\end{itemize}
\end{frame}
\end{document}