Started writeup.

paper/wbi-eclef18.tex

@@ -19,25 +19,21 @@
 
 \newcommand{\nm}[1]{\textcolor{green}{Mario: #1}\\}
 \newcommand{\nj}[1]{\textcolor{blue}{Jurica: #1}\\}
-
 \newcommand{\td}[1]{\textcolor{red}{\uppercase{#1}}}
 
-
-\title{WBI at CLEF eHealth 2018 Task 1: Language-independent ICD-10 coding using 
-multi-lingual embeddings and recurrent neural networks}
-
+\title{WBI at CLEF eHealth 2018 Task 1: Language-independent ICD-10 coding using multi-lingual embeddings and recurrent neural networks}
 
 % If the paper title is too long for the running head, you can set
 % an abbreviated paper title here
 \titlerunning{ICD-10 coding using multi-lingual embeddings and RNNs}
 
-\author{Jurica Séva\inst{1} \and
+\author{Jurica \v{S}eva\inst{1} \and
 Mario Sänger\inst{1} \and
 Ulf Leser\inst{1}}
 
 % First names are abbreviated in the running head.
 % If there are more than two authors, 'et al.' is used.
-\authorrunning{Séva et al.}
+\authorrunning{\v{S}eva et al.}
 
 \institute{Humboldt-Universität zu Berlin, Knowledge Management in
 Bioinformatics, \\ Berlin, Germany\\
@@ -56,9 +52,7 @@ attention mechanism to assign the respective ICD-10 codes to the received
 symptom names. Our model achieves \ldots
  
 
-\keywords{ICD-10 coding \and Biomedical information extraction \and
-Multi-lingual sequence-to-sequence model \and Represention learning \and
-Attention mechanism}
+\keywords{ICD-10 coding \and Biomedical information extraction \and Multi-lingual sequence-to-sequence model \and Represention learning \and Attention mechanism}
   
 \end{abstract}