Task: Question Answering
Input (English): INLINEFORM0 in the subsampled BIBREF2 training corpus and incrementing cell INLINEFORM1 for every context word INLINEFORM2 appearing within this window (forming a INLINEFORM3 pair). LexVec adjusts the PPMI matrix using context distribution smoothing BIBREF3 . We compare 1) the use of n-gram subwords, like fastText, and 2) unsupervised morphemes identified using Morfessor BIBREF11 to learn whether more linguistically motivated subwords offer any advantage over simple n-grams. 
 Question: What types of subwords do they incorporate in their model?
Output (English): n-gram subwords unsupervised morphemes identified using Morfessor BIBREF11 to learn whether more linguistically motivated subwords