1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CL2019★ 1 cited
Attending to Entities for Better Text Understanding
Pengxiang Cheng, Katrin Erk
Recent progress in NLP witnessed the development of large-scale pre-trained language models (GPT, BERT, XLNet, etc.) based on Transformer (Vaswani et al. 2017), and in a range of e…
cs.CL2018
Implicit Argument Prediction as Reading Comprehension
Pengxiang Cheng, Katrin Erk
Implicit arguments, which cannot be detected solely through syntactic cues, make it harder to extract predicate-argument tuples. We present a new model for implicit argument predic…
cs.CL2018
Implicit Argument Prediction with Event Knowledge
Pengxiang Cheng, Katrin Erk
Implicit arguments are not syntactically connected to their predicates, and are therefore hard to extract. Previous work has used models with large numbers of features, evaluated o…