Commit 573c4413 authored by Fethi Bougares's avatar Fethi Bougares

add links to data

parent 772e3ed8
This is pdfTeX, Version 3.14159265-2.6-1.40.18 (TeX Live 2017/Debian) (preloaded format=pdflatex 2018.10.12) 30 OCT 2018 14:31
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\section{Project Description}
Named entities are phrases that contain the names of persons, organizations, locations, times and quantities. For example, in the following sentence :
Named entities are phrases that contain the names of persons, organizations, locations, times and quantities. For example, in the following sentence :\\
~~~~~~~~~~~~~~ U.N. official Ekeus heads for Baghdad .\\
U.N. official Ekeus heads for Baghdad .
We have to recognize that :
\begin{enumerate}
\setcounter{enumi}{0}
\item U.N is an Organization (class ORG)
\item Ekeus is a Person (class PER)
\item Baghdad is a location (LOC)
\end{enumerate}
\item Baghdad is a location (LOC)\\
\end{enumerate}
We will concentrate on four types of named entities: persons, locations, organizations and names of miscellaneous entities that do not belong to the previous three groups. The goal is to develp a named-entity recognition system using a deep neural network.
We will concentrate on four types of named entities: persons (PER), locations (LOC), organizations (ORG) and names of miscellaneous entities that do not belong to the previous three groups (MISC). The goal is to develp a named-entity recognition system using a deep neural network.
......@@ -50,11 +49,11 @@ The data consists of three files : one training file (about 15k sentences) and t
Data are available at :\\
\vspace{-1mm}
\hspace{2cm} train : \url{http://perso.univ-lemans.fr/\~ fbouga/eng.train}\\
\hspace{2cm} train : \url{http://perso.univ-lemans.fr/~fbouga/eng.train}\\
\vspace{-1mm}
\hspace{2cm} testa : \url{http://perso.univ-lemans.fr/\~ fbouga/eng.testa} \\
\hspace{2cm} testa : \url{http://perso.univ-lemans.fr/~fbouga/eng.testa} \\
\vspace{-1mm}
\hspace{2cm} testb : \url{http://perso.univ-lemans.fr/\~ fbouga/eng.testb} \\
\hspace{2cm} testb : \url{http://perso.univ-lemans.fr/~fbouga/eng.testb} \\
\newpage
\section{Evaluation}
......
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......@@ -62,8 +63,16 @@ PhraseId & SentenceId & Phrase& Sentiment\\ \hline
\caption{Example of phrases from the training data and their scores}
\end{table}
\newpage
Data are available at :\\
\vspace{-1mm}
\hspace{2cm} train : \url{http://perso.univ-lemans.fr/~fbouga/train.tsv}\\
\vspace{-1mm}
\hspace{2cm} test : \url{http://perso.univ-lemans.fr/~fbouga/test.tsv} \\
\section{Evaluation}
Systems are evaluated on classification accuracy (the percent of labels that are predicted correctly) for every parsed phrase.
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......@@ -62,7 +63,11 @@ What is an annotated bibliography ? & DESCRIPTION \\ \hline
\end{table}
Data are available at :
Data are available at :\\
\vspace{-1mm}
\hspace{2cm} train : \url{http://perso.univ-lemans.fr/~fbouga/train_all.label}\\
\vspace{-1mm}
\hspace{2cm} test : \url{http://perso.univ-lemans.fr/~fbouga/TREC\_test.label} \\
\newpage
\section{Evaluation}
......
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