12 citations · 18 across the 4 of their papers we have counts for
4 papers
Interscript: A dataset for interactive learning of scripts through error feedback
Niket Tandon, Aman Madaan, Peter Clark +2
How can an end-user provide feedback if a deployed structured prediction model generates inconsistent output, ignoring the structural complexity of human language? This is an emerg…
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras +5
Natural language processing researchers have identified limitations of evaluation methodology for generation tasks, with new questions raised about the validity of automatic metric…
There's No Comparison: Reference-less Evaluation Metrics in Grammatical Error Correction
Courtney Napoles, Keisuke Sakaguchi, Joel Tetreault
Current methods for automatically evaluating grammatical error correction (GEC) systems rely on gold-standard references. However, these methods suffer from penalizing grammatical…
Robsut Wrod Reocginiton via semi-Character Recurrent Neural Network
Keisuke Sakaguchi, Kevin Duh, Matt Post +1
Language processing mechanism by humans is generally more robust than computers. The Cmabrigde Uinervtisy (Cambridge University) effect from the psycholinguistics literature has de…