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Open-Retrieval Conversational Machine Reading
In conversational machine reading, systems need to interpret natural lan...
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Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
In open-domain question answering, questions are highly likely to be amb...
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Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
Document interpretation and dialog understanding are the two major chall...
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Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning
Sentence function is an important linguistic feature indicating the comm...
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EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading
The goal of conversational machine reading is to answer user questions g...
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Non-linearity identification for construction workers' personality-safety behaviour predictive relationship using neural network and linear regression modelling
The prediction of workers' safety behaviour can help identify vulnerable...
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The Use of Machine Learning and Big Five Personality Taxonomy to Predict Construction Workers' Safety Behaviour
Research has found that many occupational accidents are foreseeable, bei...
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Improving Question Generation With to the Point Context
Question generation (QG) is the task of generating a question from a ref...
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Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling
We study the problem of generating interconnected questions in question-...
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Generating Distractors for Reading Comprehension Questions from Real Examinations
We investigate the task of distractor generation for multiple choice rea...
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Title-Guided Encoding for Keyphrase Generation
Keyphrase generation (KG) aims to generate a set of keyphrases given a d...
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The Effectiveness of Traditional Tools and Computer-Aided Technologies for Health and Safety Training in the Construction Sector: A Systematic Review
For workers, the exposure to on-site hazards can result in fatalities an...
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Multi-objective Non-cooperative Game Model for Cost-based Task Scheduling in Computational Grid
Task scheduling is an important and complex problem in computational gri...
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Difficulty Controllable Question Generation for Reading Comprehension
Question generation aims to generate natural language questions from a r...
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Learning Multi-level Features For Sensor-based Human Action Recognition
This paper proposes a multi-level feature learning framework for human a...
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