[PDF] Top 20 Machine Comprehension by Text to Text Neural Question Generation
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Machine Comprehension by Text to Text Neural Question Generation
... recently, neural networks have enabled end-to-end training of question generation sys- ...a neural system to convert knowledge base (KB) triples into natural- language ...the question ... See full document
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MCTest: A Challenge Dataset for the Open Domain Machine Comprehension of Text
... the machine comprehension of text. Previous work on machine comprehen- sion ...reading comprehension questions about fictional sto- ries, directly tackling the high-level goal of ... See full document
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Measuring text readability with machine comprehension: a pilot study
... The automatic evaluation of the readability of texts is an old subject (see, for example, (DuBay, 2007) for an historical account), which continues to arouse great interest from the Natural Language Processing (NLP) ... See full document
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SQuAD: 100,000+ Questions for Machine Comprehension of Text
... and question answering (QA) datasets, highlighting a variety of task formulation and cre- ation strategies (see Table 1 for an ...Reading comprehension. A data-driven approach to reading ... See full document
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Improving Human Text Comprehension through Semi Markov CRF based Neural Section Title Generation
... a text (Dooling and Mullet, ...long text while being integrated into the natural left-to-right reading ...reading comprehension is well studied in natural language processing, most datasets focus on ... See full document
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Text Generation using Neural Models
... Sequence prediction problems were around for a long time. They are considered as one of the hardest issues to resolve in the data technology enterprise. These encompass an extensive range of troubles; from predicting ... See full document
5
Bilingual GAN: A Step Towards Parallel Text Generation
... tor neural network comprising 1 linear layer and 5 1-d convolutional with residual ...discriminator neural network, which also consists of 5 convolutional and 1 lin- ear ...of machine translation we ... See full document
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Identifying Where to Focus in Reading Comprehension for Neural Question Generation
... a question about — in the reading comprehen- sion ...hierarchical neural sentence labeling model and investigated encod- ing sentences with sum and convolution opera- ...The question ... See full document
7
Data to text Generation with Entity Modeling
... More recently, the benefits of modeling entities explicitly have been demonstrated in various tasks and neural network models. Ji et al. (2017) make use of dynamic entity representations for language modeling. And ... See full document
13
Domain Specific Automatic Question Generation from Text
... Argument classification is done by self-training. Yarowsky and Florian (2002) utilized self-training for word sense disambiguation problem in 1995. Yarowsky’s experimental results showed that the performance of ... See full document
7
Neural Responding Machine for Short Text Conversation
... • the use of matching features alone is usu- ally not sufficient for distinguishing posi- tive responses from negative ones, even after time consuming feature engineering. (e.g., a penalty due to mismatched named ... See full document
10
Creating a Corpus for Russian Data to Text Generation Using Neural Machine Translation and Post Editing
... • misinterpretation of a named entity as a com- mon noun. E.g., Dane Whitman translated as датчанин Уитмен (‘inhabitant of Denmark Whitman’) instead of Дейн Уитмен. It should be noted that since the Edinburgh NMT system ... See full document
6
Learning to Ask: Neural Question Generation for Reading Comprehension
... For our qualitative analysis, we examine the sample outputs and the visualization of the align- ment between the input and the output. In Fig- ure 3, we present sample questions generated by H&S and our best model. ... See full document
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Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder
... (seq2seq) neural network architecture and demonstrate its effectiveness in improving the overall fluency of seq2seq models for natural language generation ...language generation tasks — ... See full document
11
Proceedings of the 2nd Workshop on Representation Learning for NLP
... of neural machine translation and present a paraphrasing model based purely on neural ...between text segments of arbitrary length, and generates paraphrase candidates for any source ...how ... See full document
14
Operation guided Neural Networks for High Fidelity Data To Text Generation
... of neural text generation is to separate symbolic op- erations out from the neural ...before generation, and then use the results of execution to guide the whole generation pro- ... See full document
11
Differentiated Distribution Recovery for Neural Text Generation
... higher generation quality. As we lowering the value of α, the generation qual- ity gradually ...higher generation quality than all baseline ... See full document
8
Structural Neural Encoders for AMR to text Generation
... 2017) or tree-structured (Liu et al., 2015; Takase et al., 2016) data, while other work maintained them but did not analyze their impact on perfor- mance (e.g., Song et al., 2018; Beck et al., 2018). Damonte et al. ... See full document
10
Controlling Text Complexity in Neural Machine Translation
... from text simplification: using English simplifica- tion (first pipeline) outperforms Spanish simplifi- cation (second pipeline) according to BLEU and PCC, but not ... See full document
16
Automatic Gap fill Question Generation from Text Books
... A Biology text book Campbell Biology, 6th Edi- tion has been used for work in this paper. We have reported results of our system on 2 chapters (the structure and function of macromolecules and an introduction to ... See full document
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