Information retrieval, Language model, Translation, Embedding, 1965, Speech recognition
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RT @WikiResearch: "Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches" Using #Wikidata to generate synthetic benchmarks for comparing question answering models.
(Liu et al, 2021)
https://t.co/MZCFujrVNA https://t.co/42NFuMMk8O
OpenbAbI QA #1 bAbI QA #2 bAbI QA #3 bAbI QA #4 RaSoR 100.0 60.0 71.0 81.0 BiDAF 100.0 42.0 53.0 83.0 DocumentReader 100.0 63.0 70.0 100.0 DocumentReader (no external features) 100.0 76.0 93.0 100.0 BiDAF++ 100.0 100.0 100.0 78.0 MnemonicReader 100.0 44.0 71.0 100.0 MnemonicReader (no ...
RT @WikiResearch: "Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches" Using #Wikidata to generate synthetic benchmarks for comparing question answering models.
(Liu et al, 2021)
https://t.co/MZCFujrVNA https://t.co/42NFuMMk8O
OpenClick here to read the article
bAbI QA #1 bAbI QA #2 bAbI QA #3 bAbI QA #4 RaSoR 100.0 60.0 71.0 81.0 BiDAF 100.0 42.0 53.0 83.0 DocumentReader 100.0 63.0 70.0 100.0 DocumentReader (no external features) 100.0 76.0 93.0 ...
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The number of hidden layers, the number of units in each layer, regularization techniques, network weight initialization, activation functions, learning rate, momentum values, number of ...
74 Summaries of Machine Learning and NLP Research
My previous post on summarising 57 research papers turned out to be quite useful for people working in this field, so it is about time…
Facebook research being presented at ACL 2019
Researchers from Facebook are presenting a wide range of research at the 2019 meeting of the Association for Computational Linguistics (ACL).