Allyson and Philip win best paper at workshop

Allyson Ettinger's "Probing for semantic evidence of composition by means of simple classification tasks," with Philip Resnik and Ahmed Elgohary, has been judged best paper at the Workshop on Evaluating Vector Space Representations for NLP.

Congratulations to Allyson Ettinger, whose "Probing for semantic evidence of composition by means of simple classification tasks," with Philip Resnik and CS's Ahmed Elgohary, has been judged best paper within the first ever Workshop on Evaluating Vector Space Representations for NLP (RepEval), held within this year's meeting of Association for Computational Linguistics in Berlin.