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[PDF] Top 20 A Recurrent BERT based Model for Question Generation

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A Recurrent BERT based Model for Question Generation

A Recurrent BERT based Model for Question Generation

... The question generation has been mainly tackled with two types of ...generate question tem- plates from a large amount of text to generate ...regression model to select the qualified questions ... See full document

9

A Novel Framework for Automatic Chinese Question Generation Based on Multi-Feature Neural Network Model

A Novel Framework for Automatic Chinese Question Generation Based on Multi-Feature Neural Network Model

... visual question generation to explore the deep connec- tion between language and ...text&question based on SQuAD 3 , and trained a sequence to ... See full document

14

Ranking Model with a Reduced Feature Set for an Automated Question Generation System

Ranking Model with a Reduced Feature Set for an Automated Question Generation System

... a question has been computed by employing the linear regression model with 187 features (H&S, ...language model (6), grammatical aspects (23), transformations (8), vagueness (3), negation (1), ... See full document

10

Is Multilingual BERT Fluent in Language Generation?

Is Multilingual BERT Fluent in Language Generation?

... text generation abili- ties of the models, we employ the method recently introduced by Wang and Cho (2019) which en- ables BERT to be used for text ...and BERT is used for a number of itera- tions to ... See full document

8

Multi Task Learning with Language Modeling for Question Generation

Multi Task Learning with Language Modeling for Question Generation

... questions generation. Based on the attention- based pointer generator model, we propose to incorporate an auxiliary task of language modeling to help question generation in a hi- ... See full document

6

PANLP at MEDIQA 2019: Pre trained Language Models, Transfer Learning and Knowledge Distillation

PANLP at MEDIQA 2019: Pre trained Language Models, Transfer Learning and Knowledge Distillation

... Language model pre-training has shown to be effective for learn- ing universal language representations by lever- aging large amounts of unlabeled ...and BERT ( by Devlin et ...example, BERT is ... See full document

9

Gendered Pronoun Resolution using BERT and an Extractive Question Answering Formulation

Gendered Pronoun Resolution using BERT and an Extractive Question Answering Formulation

... done based on the gender of the ...the question answering model, we exclude all the nei- ther examples from the training data as we dont have an exact ...the model doesn’t need, by design, an ... See full document

8

Good Question! Statistical Ranking for Question Generation

Good Question! Statistical Ranking for Question Generation

... to question generation are not so easily encoded with rules, we include statistical ranking as an integral ...as generation (Walker et ...ranking model, we learn to rank from a relatively ... See full document

9

Question Generation for Question Answering

Question Generation for Question Answering

... of question generation approaches are proposed, one is a retrieval-based method using convo- lution neural network (CNN), the other is a generation-based method using recurrent ... See full document

9

Question Answering Using Hierarchical Attention on Top of BERT Features

Question Answering Using Hierarchical Attention on Top of BERT Features

... architecture based on match-LSTM and pointer ...the question- document context at different levels of granular- ...attention-based recurrent network where self-match attention mechanism is ... See full document

5

Generating Natural Language Question Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model

Generating Natural Language Question Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model

... automatic question generation from ...syntax based methods that use the parse structure of sentences, identify key phrases and apply some known transformation rules to create questions (Ali et ... See full document

10

BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model

BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model

... that BERT is a Markov random field lan- guage model. Formulating BERT in this way gives rise to a practical algorithm for generating from BERT based on Gibbs sampling that does not re- ... See full document

7

Question type Driven Question Generation

Question type Driven Question Generation

... Question generation is a challenging task which aims to ask a question based on an an- swer and relevant ...between question type and answer, i.e. generating a question with type ... See full document

6

Categorized question template generation for ontology based assessment questions

Categorized question template generation for ontology based assessment questions

... ontology model consists of a concept part that uses basic set theory and a C++ implementation part that has been tested and has been reported as to be able to produce 3,624 open questions from four question ... See full document

5

Synthetic QA Corpora Generation with Roundtrip Consistency

Synthetic QA Corpora Generation with Roundtrip Consistency

... synthetic question answering corpora by com- bining models of question generation and an- swer extraction, and by filtering the results to ensure roundtrip ...data generation models, for both ... See full document

6

Multi lingual Wikipedia Summarization and Title Generation On Low Resource Corpus

Multi lingual Wikipedia Summarization and Title Generation On Low Resource Corpus

... Language Model(LM) is one of the most important research advances in Natural Lan- guage Processing(NLP) which focus on how to make use of language information in large corpus with unsupervised ...els; ... See full document

9

BERT for Question Generation

BERT for Question Generation

... that BERT-SQG successfully processes the paragraph- level contexts and further push the state-of-the-art from ...the BERT model based on transformer blocks effectively addresses the issue of ... See full document

5

A Conceptual Model for Ontology Based Intelligence

A Conceptual Model for Ontology Based Intelligence

... Different definitions of intelligence as well as related parts for doing mental activities such as interactive signals, memory and mental activities were described. In part of interactive signals, method of perception ... See full document

8

Title: Rule Based Question Generation System from Punjabi Text Contain Historical Information

Title: Rule Based Question Generation System from Punjabi Text Contain Historical Information

... - Question Generation from Paragraphs at UPenn: QGSTEC System ...the question generation system developed at UPenn for QGSTEC, ...the question from ...six question from the ... See full document

6

Building a system based on natural languages processing to automatic  question generation from arabic texts

Building a system based on natural languages processing to automatic question generation from arabic texts

... automatic generation of questions is an important research area potentially useful in intelligent tutoring systemsdialogue systems, and educational ...on question generation, Sneider ...into ... See full document

6

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