latent_knowledge_template.tex

\documentclass[10pt,letterpaper]{article}

% Language and encoding:
\usepackage[english]{babel}
\usepackage[utf8]{inputenc}

% Sets page size and margins:
\usepackage[a2paper,top=2cm,bottom=2cm,left=3cm,right=3cm,marginparwidth=1.75cm]{geometry}

% Useful packages:
\usepackage{amsmath}
\usepackage{graphicx}
\usepackage{authblk}
\usepackage{pgfplots}
\DeclareUnicodeCharacter{2212}{−}
\usepgfplotslibrary{groupplots,dateplot}
\usetikzlibrary{patterns,shapes.arrows,plotmarks}
\pgfplotsset{compat=newest}
\usepackage[hidelinks]{hyperref}

% Title
\title{
		%\vspace{-1in} 	
		\usefont{OT1}{bch}{b}{n}
		\normalfont \normalsize \textsc{Discovering latent knowledge in medical papers on Acute Myeloid Leukemia\\ doubleblind} \\ [10pt]
		\huge Latent Knowledge Report \\
}

\author[1]{doubleblind}

\affil[1]{\small{doubleblind}}

\begin{document}
\maketitle
\selectlanguage{english}

\thispagestyle{empty}
\listoffigures
\newpage

% BERT-BASED MODELS, FIRST SUBWORD:
\begin{figure}[!ht]
    \centering
    \VAR{plot_first_subword_dot_product_result_absolute}
    \caption{Dot product result absolute over the years (BERT-based model, first subword token embedding).}
    \label{fig:dp_absolute_first_subword}
\end{figure}

\begin{figure}[!ht]
    \centering
    \VAR{plot_first_subword_softmax}
    \caption{Softmax over the years (BERT-based model, first subword token embedding).}
    \label{fig:softmax_first_subword}
\end{figure}

\begin{figure}[!ht]
    \centering
    \VAR{plot_first_subword_softmax_normalization}
    \caption{Normalized softmax over the years (BERT-based model, first subword token embedding).}
    \label{fig:softmax_normalization_first_subword}
\end{figure}

\begin{figure}[!ht]
    \centering
    \VAR{plot_first_subword_softmax_standartization}
    \caption{Standartized softmax over the years (BERT-based model, first subword token embedding).}
    \label{fig:softmax_standartization_first_subword}
\end{figure}

% BERT-BASED MODELS, LAST SUBWORD:
\begin{figure}[!ht]
    \centering
    \VAR{plot_last_subword_dot_product_result_absolute}
    \caption{Dot product result absolute over the years (BERT-based model, last subword token embedding).}
    \label{fig:dp_absolute_last_subword}
\end{figure}

\begin{figure}[!ht]
    \centering
    \VAR{plot_last_subword_softmax}
    \caption{Softmax over the years (BERT-based model, last subword token embedding).}
    \label{fig:softmax_last_subword}
\end{figure}

\begin{figure}[!ht]
    \centering
    \VAR{plot_last_subword_softmax_normalization}
    \caption{Normalized softmax over the years (BERT-based model, last subword token embedding).}
    \label{fig:softmax_normalization_last_subword}
\end{figure}

\begin{figure}[!ht]
    \centering
    \VAR{plot_last_subword_softmax_standartization}
    \caption{Standartized softmax over the years (BERT-based model, last subword token embedding).}
    \label{fig:softmax_standartization_last_subword}
\end{figure}

% BERT-BASED MODELS, MEAN SUBWORD:
\begin{figure}[!ht]
    \centering
    \VAR{plot_mean_subword_dot_product_result_absolute}
    \caption{Dot product result absolute over the years (BERT-based model, mean subword token embedding).}
    \label{fig:dp_absolute_mean_subword}
\end{figure}

\begin{figure}[!ht]
    \centering
    \VAR{plot_mean_subword_softmax}
    \caption{Softmax over the years (BERT-based model, mean subword token embedding).}
    \label{fig:softmax_mean_subword}
\end{figure}

\begin{figure}[!ht]
    \centering
    \VAR{plot_mean_subword_softmax_normalization}
    \caption{Normalized softmax over the years (BERT-based model, mean subword token embedding).}
    \label{fig:softmax_normalization_mean_subword}
\end{figure}

\begin{figure}[!ht]
    \centering
    \VAR{plot_mean_subword_softmax_standartization}
    \caption{Standartized softmax over the years (BERT-based model, mean subword token embedding).}
    \label{fig:softmax_standartization_mean_subword}
\end{figure}

% WORD2VEC MODELS, COMBINATION 15:
\begin{figure}[!ht]
    \centering
    \VAR{plot_comb15_dot_product_result_absolute}
    \caption{Dot product result absolute over the years (Word2Vec model, combination 15 \{200, 0.025, 15\}).}
    \label{fig:dp_absolute_w2v_comb15}
\end{figure}

\begin{figure}[!ht]
    \centering
    \VAR{plot_comb15_softmax}
    \caption{Softmax over the years (Word2Vec model, combination 15 \{200, 0.025, 15\}).}
    \label{fig:softmax_w2v_comb15}
\end{figure}

\begin{figure}[!ht]
    \centering
    \VAR{plot_comb15_softmax_normalization}
    \caption{Normalized softmax over the years (Word2Vec model, combination 15 \{200, 0.025, 15\}).}
    \label{fig:softmax_normalization_w2v_comb15}
\end{figure}

\begin{figure}[!ht]
    \centering
    \VAR{plot_comb15_softmax_standartization}
    \caption{Standartized softmax over the years (Word2Vec model, combination 15 \{200, 0.025, 15\}).}
    \label{fig:softmax_standartization_w2v_comb15}
\end{figure}

%FASTTEXT MODELS, COMBINATION 16:
\begin{figure}[!ht]
    \centering
    \VAR{plot_comb16_dot_product_result_absolute}
    \caption{Dot product result absolute over the years (FastText model, combination 16 \{300, 0.0025, 5\}).}
    \label{fig:dp_absolute_ft_comb16}
\end{figure}

\begin{figure}[!ht]
    \centering
    \VAR{plot_comb16_softmax}
    \caption{Softmax over the years (FastText model, combination 16 \{300, 0.0025, 5\}).}
    \label{fig:softmax_ft_comb16}
\end{figure}

\begin{figure}[!ht]
    \centering
    \VAR{plot_comb16_softmax_normalization}
    \caption{Normalized softmax over the years (FastText model, combination 16 \{300, 0.0025, 5\}).}
    \label{fig:softmax_normalization_ft_comb16}
\end{figure}

\begin{figure}[!ht]
    \centering
    \VAR{plot_comb16_softmax_standartization}
    \caption{Standartized softmax over the years (FastText model, combination 16 \{300, 0.0025, 5\}).}
    \label{fig:softmax_standartization_ft_comb16}
\end{figure}

\end{document}