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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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Syntax-Enhanced Pre-trained Model
We study the problem of leveraging the syntactic structure of text to en...
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Reinforced Multi-Teacher Selection for Knowledge Distillation
In natural language processing (NLP) tasks, slow inference speed and hug...
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CalibreNet: Calibration Networks for Multilingual Sequence Labeling
Lack of training data in low-resource languages presents huge challenges...
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Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation
Cross-lingual Machine Reading Comprehension (CLMRC) remains a challengin...
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A Graph Representation of Semi-structured Data for Web Question Answering
The abundant semi-structured data on the Web, such as HTML-based tables ...
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Experimental Quantum Generative Adversarial Networks for Image Generation
Quantum machine learning is expected to be one of the first practical ap...
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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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No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension
The Natural Questions (NQ) benchmark set brings new challenges to Machin...
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Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding
Question Aware Open Information Extraction (Question aware Open IE) take...
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Mining Implicit Relevance Feedback from User Behavior for Web Question Answering
Training and refreshing a web-scale Question Answering (QA) system for a...
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Mining Implicit Relevance Feedback from User Behavior forWeb Question Answering
Training and refreshing a web-scale Question Answering (QA) system for a...
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Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension
Multilingual pre-trained models could leverage the training data from a ...
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LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
Verifying the correctness of a textual statement requires not only seman...
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Pre-training Text Representations as Meta Learning
Pre-training text representations has recently been shown to significant...
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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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Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning
We study the problem of generating inferential texts of events for a var...
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XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
In this paper, we introduce XGLUE, a new benchmark dataset to train larg...
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TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images
Line segment detection is an essential task in computer vision and image...
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CodeBERT: A Pre-Trained Model for Programming and Natural Languages
We present CodeBERT, a bimodal pre-trained model for programming languag...
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Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System
Deep pre-training and fine-tuning models (such as BERT and OpenAI GPT) h...
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Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
Commonsense question answering aims to answer questions which require ba...
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Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks
We present Unicoder, a universal language encoder that is insensitive to...
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Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System
Deep pre-training and fine-tuning models (like BERT, OpenAI GPT) have de...
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NeuronBlocks -- Building Your NLP DNN Models Like Playing Lego
When building deep neural network models for natural language processing...
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Pretraining-Based Natural Language Generation for Text Summarization
In this paper, we propose a novel pretraining-based encoder-decoder fram...
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Naturally Combined Shape-Color Moment Invariants under Affine Transformations
We proposed a kind of naturally combined shape-color affine moment invar...
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