- After the final evaluation, we did further experiments\r
-with feature types, and discovered that using stop-word 8-grams,\r
-word 4-grams, {\it and} contextual $n$-grams as described in\r
-Section \ref{altfeatures} performs even better (on a training corpus):\r
-\r
-\plagdet{0.7522}{0.7897}{0.7181}{1.0000}\r
+% After the final evaluation, we did further experiments\r
+%with feature types, and discovered that using stop-word 8-grams,\r
+%word 4-grams, {\it and} contextual $n$-grams as described in\r
+%Section \ref{altfeatures} performs even better (on a training corpus):\r
+%\r
+%\plagdet{0.7522}{0.7897}{0.7181}{1.0000}\r