PhD

The LaTeX sources of my Ph.D. thesis
git clone https://esimon.eu/repos/PhD.git
Log | Files | Refs | README | LICENSE

entity predictor.tex (1461B)


      1 \begin{frame}{Entity Predictors}%
      2 	\begin{block}{Hybrid \parencite{vae_re}}%
      3 		\(\psi(e_1, r, e_2) = \psi_\text{SP}(e_1, r, e_2) + \psi_\text{RESCAL}(e_1, r, e_2)\)
      4 
      5 		\bigskip
      6 
      7 		\(P(e_1 \mid r, e_2) = \displaystyle \frac{\exp \psi(e_1, r, e_2)}{\sum_{e'\in\entitySet} \exp \psi(e', r, e_2)} \)
      8 	\end{block}%
      9 	\begin{columns}[T]%
     10 		\begin{column}{6.5cm}%
     11 			\begin{block}{Selectional Preferences}%
     12 				\(\psi_\text{SP}(e_1, r, e_2) = \vctr{u}_{e_1}\transpose \vctr{a}_r + \vctr{u}_{e_2}\transpose \vctr{b}_r\)
     13 
     14 				\medskip
     15 
     16 				\(\mtrx{U}\in\symbb{R}^{\entitySet\times d}\) entity embeddings\\
     17 				\(\mtrx{A}, \mtrx{B}\in\symbb{R}^{\relationSet\times d}\) relation embeddings
     18 			\end{block}%
     19 		\end{column}%
     20 		\begin{column}{6.5cm}%
     21 			\begin{block}{RESCAL}%
     22 				\(\psi_\text{RESCAL}(e_1, r, e_2) = \vctr{u}_{e_1}\transpose \mtrx{C}_r \vctr{u}_{e_2}\)
     23 
     24 				\medskip
     25 
     26 				\(\mtrx{U}\in\symbb{R}^{\entitySet\times d}\) entity embeddings\\
     27 				\(\tnsr{C}\in\symbb{R}^{\relationSet\times d\times d}\) relation embeddings
     28 			\end{block}%
     29 		\end{column}%
     30 	\end{columns}%
     31 	\vspace*{1cm}
     32 	\begin{tikzpicture}[remember picture, overlay]
     33 		\node[anchor=south east, xshift=-1cm] at (current page.south east) {\(\displaystyle
     34 			\overbrace{P(e_{-i} \mid s, e_i)}^{\text{fill-in-the-blank}}
     35 			= \sum_{r\in\relationSet} \overbrace{P(r\mid s)}^{\text{classifier}}
     36 			\alert{\overbrace{P(e_{-i} \mid r, e_i)}^{\text{entity predictor}}}
     37 		\)};
     38 	\end{tikzpicture}
     39 \end{frame}