Directly reading documents and being able to answer questions from them is an unsolved challenge. To avoid its inherent difficulty, question answering (QA) has been directed towards using Knowledge Bases (KBs) instead, which has proven effective. Unfortunately KBs often suffer from being too restrictive, as the schema cannot support certain types of answers, and too sparse, e.g. Wikipedia contains much more information than Freebase.
|Task||Dataset||Model||Metric name||Metric value||Global rank||Compare|
|Question Answering||WikiQA||Key-Value Memory Network||MAP||0.7069||# 3|
|Question Answering||WikiQA||Key-Value Memory Network||MRR||0.7265||# 3|