Self-learning improvement by means of cloud computing
This paper describes some results of authors' research in machine reading at scale as a support for self-learning, which combines the challenges of document retrieval (finding the relevant articles) with that of machine comprehension of text (identifying the answer spans from those articles). Our approach combines a search component based on bigram hashing and TF-IDF (term frequencyâ€“inverse document frequency) matching with a multi-layer recurrent neural network model trained to detect answers in Wikipedia paragraphs.
Volume (Year): 4 (2017)
Issue (Month): 1 (November)
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