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Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model
Modern Automatic Speech Recognition (ASR) systems can achieve high perfo...
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Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders
Recently, universal neural machine translation (NMT) with shared encoder...
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Speech-language Pre-training for End-to-end Spoken Language Understanding
End-to-end (E2E) spoken language understanding (SLU) can infer semantics...
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Listen, Look and Deliberate: Visual context-aware speech recognition using pre-trained text-video representations
In this study, we try to address the problem of leveraging visual signal...
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Mixed-Lingual Pre-training for Cross-lingual Summarization
Cross-lingual Summarization (CLS) aims at producing a summary in the tar...
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MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension
Span extraction is an essential problem in machine reading comprehension...
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A Novel Method for Inference of Acyclic Chemical Compounds with Bounded Branch-height Based on Artificial Neural Networks and Integer Programming
Analysis of chemical graphs is a major research topic in computational m...
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Recognizing Micro-expression in Video Clip with Adaptive Key-frame Mining
As a spontaneous expression of emotion on face, micro-expression is rece...
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ServiceNet: A P2P Service Network
Given a large number of online services on the Internet, from time to ti...
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DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...
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Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans
Accurate and automated tumor segmentation is highly desired since it has...
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Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set
Utilizing computed tomography (CT) images to quickly estimate the severi...
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Improving Readability for Automatic Speech Recognition Transcription
Modern Automatic Speech Recognition (ASR) systems can achieve high perfo...
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Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights
In this work, we propose to study the utility of different meta-graphs, ...
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Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity
Text-rich heterogeneous information networks (text-rich HINs) are ubiqui...
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A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition
The automatic recognition of micro-expression has been boosted ever sinc...
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Higher-Order Clustering in Heterogeneous Information Networks
As one type of complex networks widely-seen in real-world application, h...
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Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks
Heterogeneous information networks (HINs) are ubiquitous in real-world a...
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Training of photonic neural networks through in situ backpropagation
Recently, integrated optics has gained interest as a hardware platform f...
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AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks
Heterogeneous information networks (HINs) are ubiquitous in real-world a...
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Gradient Boosting With Piece-Wise Linear Regression Trees
Gradient boosting using decision trees as base learners, so called Gradi...
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mvn2vec: Preservation and Collaboration in Multi-View Network Embedding
Multi-view networks are ubiquitous in real-world applications. In order ...
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