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08/27/2023
Situated Natural Language Explanations
Natural language is among the most accessible tools for explaining decis...
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08/09/2023
TextPainter: Multimodal Text Image Generation withVisual-harmony and Text-comprehension for Poster Design
Text design is one of the most critical procedures in poster design, as ...
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08/02/2023
AutoPoster: A Highly Automatic and Content-aware Design System for Advertising Poster Generation
Advertising posters, a form of information presentation, combine visual ...
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06/01/2023
DeSAM: Decoupling Segment Anything Model for Generalizable Medical Image Segmentation
Deep learning based automatic medical image segmentation models often su...
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05/30/2023
Graph Reasoning for Question Answering with Triplet Retrieval
Answering complex questions often requires reasoning over knowledge grap...
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05/19/2023
CCGen: Explainable Complementary Concept Generation in E-Commerce
We propose and study Complementary Concept Generation (CCGen): given a c...
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05/03/2023
SCOTT: Self-Consistent Chain-of-Thought Distillation
Large language models (LMs) beyond a certain scale, demonstrate the emer...
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11/03/2022
The ProfessionAl Go annotation datasEt (PAGE)
The game of Go has been highly under-researched due to the lack of game ...
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05/21/2022
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training
Keyphrase generation is the task of automatically predicting keyphrases ...
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04/30/2022
PGD: A Large-scale Professional Go Dataset for Data-driven Analytics
Lee Sedol is on a winning streak–does this legend rise again after the c...
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01/24/2022
Mutual Attention-based Hybrid Dimensional Network for Multimodal Imaging Computer-aided Diagnosis
Recent works on Multimodal 3D Computer-aided diagnosis have demonstrated...
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03/10/2021
TransMed: Transformers Advance Multi-modal Medical Image Classification
Over the past decade, convolutional neural networks (CNN) have shown ver...
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02/17/2021
Open-Retrieval Conversational Machine Reading
In conversational machine reading, systems need to interpret natural lan...
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11/26/2020
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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10/05/2020
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
Document interpretation and dialog understanding are the two major chall...
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10/04/2020
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning
Sentence function is an important linguistic feature indicating the comm...
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05/26/2020
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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12/11/2019
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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12/11/2019
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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10/14/2019
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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06/17/2019
Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling
We study the problem of generating interconnected questions in question-...
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09/08/2018
Generating Distractors for Reading Comprehension Questions from Real Examinations
We investigate the task of distractor generation for multiple choice rea...
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08/26/2018
Title-Guided Encoding for Keyphrase Generation
Keyphrase generation (KG) aims to generate a set of keyphrases given a d...
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08/06/2018
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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07/15/2018
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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07/10/2018
Difficulty Controllable Question Generation for Reading Comprehension
Question generation aims to generate natural language questions from a r...
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11/22/2016