spb/wp2_uqo

1% Author: Simon-Pierre Boucher — contact@spboucher.ai2% Generated by scripts/08_revision_tables.py — do not edit by hand.3\begin{table}[!htbp]4\centering5\caption{Language of the listing descriptions and mean cosine similarity to the 20 French references.}6\label{tab:language}7\small8\begin{adjustbox}{max width=\textwidth}9\begin{tabular}{lR{1.2cm}R{1.1cm}R{1.3cm}R{1.6cm}R{1.3cm}R{1.5cm}R{1.7cm}}10\toprule11& & & & & & \multicolumn{2}{c}{\textbf{Mean similarity}} \\12\cmidrule(lr){7-8}13\textbf{Language} & $\boldsymbol{n}$ & \textbf{\%} & \textbf{Length} & \textbf{Median price} & $\boldsymbol{\overline{\ln P}}$ & \textbf{MiniLM-L6} & \textbf{Multilingual} \\14\midrule15French & 9{,}843 & 57.6 & 521 & \$499{,}900 & 13.128 & 0.434 & 0.395 \\16English & 6{,}779 & 39.7 & 527 & \$749{,}900 & 13.605 & 0.204 & 0.352 \\17Mixed / uninformative & 465 & 2.7 & 33 & \$599{,}000 & 13.260 & 0.080 & 0.073 \\18\midrule19\multicolumn{6}{l}{Share of the variance of the mean similarity explained by language ($\eta^2$)} & 0.862 & 0.525 \\20\multicolumn{6}{l}{Correlation of the mean similarity with the English indicator} & $-$0.815 & $-$0.189 \\21\multicolumn{6}{l}{Correlation of the mean similarity with description length} & 0.199 & 0.530 \\22\multicolumn{6}{l}{Share of the variance of the 20 similarities on their first principal component} & 0.862 & 0.522 \\23\bottomrule24\end{tabular}25\end{adjustbox}26\begin{minipage}{\textwidth}27\vspace{4pt}\footnotesize28\textit{Notes:} Language is classified from French and English stop-word counts (ratio rule of 1.5; ``mixed'' listings are mostly short boilerplate such as ``See listing broker(s)''). Length is the mean number of characters. MiniLM-L6 is the paper's baseline encoder (all-MiniLM-L6-v2); Multilingual is paraphrase-multilingual-MiniLM-L12-v2 \citep{reimers2020multilingual}. The mean similarity is the average of the 20 cosine similarities of a listing.29\end{minipage}30\end{table}31