[PDF] Top 20 Machine Reading as a Process of Partial Question Answering
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Machine Reading as a Process of Partial Question Answering
... the reading task is primarily one of recognizing that knowledge in the text, and extend- ing it with any new facts that are ...a machine read a second book (about the same topic) and in- tegrate the new ... See full document
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D NET: A Pre Training and Fine Tuning Framework for Improving the Generalization of Machine Reading Comprehension
... Machine reading comprehension (MRC) requires machines to understand text and answer questions about the text, and it is an important task in natural language processing ... See full document
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Multi Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds
... based machine translation performing at the ...current question is added at the end of the list of state- ...training process for each domain took approx- imately 48 hours on a Titan X ... See full document
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Incorporating External Knowledge into Machine Reading for Generative Question Answering
... available: question, passage, vocabulary and knowledge. During the process of answer gen- eration, KEAG adaptively determines when to utilize symbolic knowledge and which fact from the knowledge is ... See full document
10
Machine Learning Approach for Question Answering in Information Retrieval
... NLP Process comprises a several ...Stemming Process which eliminates the Stop words in the sentence and also trims the keyword for Base ...the Question will be left in pending state till a expert ... See full document
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MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension
... the Machine Read- ing for Question Answering (MRQA) 2019 shared task on evaluating the generalization capabilities of reading comprehension sys- ...distinct question answering ... See full document
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1. Review: hindi question answering system using machine learning approach
... The Question Answering System uses the approach of Machine ...of Question Answering system with Overall Accuracy and threshold of the ... See full document
5
Full Machine Translation for Factoid Question Answering
... of question-answer pairs as information ...than question answering, because every document/sentence is known to be the answer of a question written in the form of an answer, and no further ... See full document
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Statistical Machine Translation based Passage Retrieval for Cross Lingual Question Answering
... Cross-Lingual Question Answer- ing ...statistical machine translation (SMT) is deeply incorporated into the question an- swering process, instead of using it as the pre-processing of the ... See full document
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A Machine Learning Approach to Answering Questions for Reading Comprehension Tests
... To the best of our knowledge, this is the first work that reports t h a t the use of a machine learning approach achieves competitive results on answering questions for reading compre- h[r] ... See full document
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Multi Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering
... We use the AdaMax optimizer, with a mini-batch size of 32 and initial learning rate of 0.002. A dropout rate of 0.4 is used for all LSTM layers. To directly optimize our target against the evaluation metrics, we further ... See full document
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Gated Self Matching Networks for Reading Comprehension and Question Answering
... and question, allowing our model make full use of passage in- ...to question is more help- ful to infer the answer in reading comprehension, we apply self-matching based on question-aware ... See full document
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Impact of Asking Support Questions on Grades 4 and 7 Students Reading Comprehension
... children’s reading with understanding by having them to answer questions pertaining to the text to be learned (Anderson & Biddle, 1975; Pressley et ...(1985) answering of these questions can be ... See full document
7
An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans
... each question and a snip- pet as a training sample which might often result in repeated questions with different snippets, ...a question, a unique snippet and the start and end token string offsets of the ... See full document
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An Exploration of Data Augmentation and Sampling Techniques for Domain Agnostic Question Answering
... domain-agnostic question an- swering model for the Machine Reading Ques- tion Answering (MRQA) 2019 Shared Task, we investigate the relative benefits of large pre- trained language models, ... See full document
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Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task
... in machine reading compre- ...each question is more close to real ...on question answering, various evaluation metrics were proposed to make comparisons be- tween participating ... See full document
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Proceedings of the 2nd Workshop on Machine Reading for Question Answering
... Hongyu Li, Xiyuan Zhang, Yibing Liu, Yiming Zhang, Quan Wang, Xiangyang Zhou, Jing Liu, Hua Wu and Haifeng Wang. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... See full document
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An Investigation of Machine Translation Evaluation Metrics in Cross lingual Question Answering
... We should qualify this result, however, noting the fact that the results are based on the use solely of the SEMPRE parsing system. While SEMPRE has shown highly competitive results on standard QA tasks, we also plan to ... See full document
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Question Answering Using a Large Text Database: A Machine Learning Approach
... [r] ... See full document
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Question Analysis for Polish Question Answering
... A question focus removal (applied by Moldovan et ...the question Który znany malarz twierdził, ˙ze ob- ci ˛ał sobie ...the question fo- cus znany malarz are not absolutely necessary in a source ... See full document
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