The Impact of Multiple Passages on Machine Comprehension

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dc.contributor.advisorOates, Tim
dc.contributor.authorJonnagaddla Subramanyam Naidu, Prathusha
dc.contributor.departmentComputer Science and Electrical Engineering
dc.contributor.programComputer Science
dc.date.accessioned2021-01-29T18:11:55Z
dc.date.available2021-01-29T18:11:55Z
dc.date.issued2019-01-01
dc.description.abstractMachine Reading Comprehension has made rapid progress in recent times with datasets like SQuAD. Most of the existing question-answering models consider single paragraph for answering a query. This theses topic aims to perform a comprehensive analysis of the results obtained from a machine comprehension model and understand how well it is able to comprehend text and answer different types of questions.This includes experiments such as measuring how the increase in the number of passages with very similar information could affect the performance of a Question-Answering model. In this theses, a well-known Machine Comprehension model like BiDaF is considered and an exhaustive set of experiments are performed to measure the performance variation. Experiments show that the model's accuracy drops considerably when testing on a dataset that has multiple similar passages as compared to a dataset with single passage for each question. The model's results were analysed using the official evaluator from SQuAD. We believe that this analysis leads to a new research direction - to build QA systems with an ability to answer a question accurately irrespective of the length of the passages .
dc.formatapplication:pdf
dc.genretheses
dc.identifierdoi:10.13016/m2d0bs-bqne
dc.identifier.other12068
dc.identifier.urihttp://hdl.handle.net/11603/20649
dc.languageen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Theses and Dissertations Collection
dc.relation.ispartofUMBC Graduate School Collection
dc.relation.ispartofUMBC Student Collection
dc.sourceOriginal File Name: JonnagaddlaSubramanyamNaidu_umbc_0434M_12068.pdf
dc.titleThe Impact of Multiple Passages on Machine Comprehension
dc.typeText
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