Contextualized Word Representations for Reading Comprehension

Reading a document and extracting an answer to a question about its content has attracted substantial attention recently. While most work has focused on the interaction between the question and the document, in this work we evaluate the importance of context when the question and document are processed independently... (read more)

PDF Abstract NAACL 2018 PDF NAACL 2018 Abstract

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Question Answering SQuAD1.1 RaSoR + TR (single model) EM 75.789 # 96
F1 83.261 # 98
Question Answering SQuAD1.1 RaSoR + TR + LM (single model) EM 77.583 # 78
F1 84.163 # 89

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet