Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"Machine reading"”.
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Knowledge integration in machine reading
Machine reading is the artificial-intelligence task of automatically reading a corpus of texts and, from the contents, building a knowledge base that supports automated reasoning and question answering. Success at this task could fundamentally solve the knowledge acquisition bottleneck – the widely …
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Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) For Natural Language Processing
… NLP tasks, namely, language modelling and machine reading comprehension. Our experiment results shown that the dual-FOFE provide a definite improvement over the original FOFE by approximately 11% in perplexity (PPL) for language modelling task and 8% in Exact Match (EM) score for machine …
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A commonsense approach to story understanding
… that models aspects of story understanding by reading and analyzing stories written in simple English. I have extended Genesis by incorporating ConceptNet, a large knowledge base of common sense, into its processing. Now, Genesis not only has access to the dozens of inference rules provided by …
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Towards Explainable Event Detection and Extraction
… of difficulty of collecting finegrained data. Machine reading comprehension(MRC) based approaches, that enable zero-shot extraction struggle with syntactically complex sentences and long-range dependencies. To mitigate this problem, we propose a syntactic sentence simplification approach that …
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Cold-start universal information extraction
… Extraction (IE) is the desire to endow machines with the ability to automatically extract, assess, and understand text in order to answer these fundamental questions. IE has been serving as one of the most important components for many downstream natural language processing (NLP) tasks, …