b'Daxin Jiang'

ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation

Now, the pre-training technique is ubiquitous in natural language proces...
04/16/2021 ∙ by Weizhen Qi, et al. ∙ 0 ∙ share

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WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach

Producing the embedding of a sentence in an unsupervised way is valuable...
04/05/2021 ∙ by Junjie Huang, et al. ∙ 0 ∙ share

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Integrating Pre-trained Model into Rule-based Dialogue Management

Rule-based dialogue management is still the most popular solution for in...
02/17/2021 ∙ by Jun Quan, et al. ∙ 0 ∙ share

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Syntax-Enhanced Pre-trained Model

We study the problem of leveraging the syntactic structure of text to en...
12/28/2020 ∙ by Zenan Xu, et al. ∙ 0 ∙ share

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Reinforced Multi-Teacher Selection for Knowledge Distillation

In natural language processing (NLP) tasks, slow inference speed and hug...
12/11/2020 ∙ by Fei Yuan, et al. ∙ 0 ∙ share

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CalibreNet: Calibration Networks for Multilingual Sequence Labeling

Lack of training data in low-resource languages presents huge challenges...
11/11/2020 ∙ by Shining Liang, et al. ∙ 0 ∙ share

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Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation

Cross-lingual Machine Reading Comprehension (CLMRC) remains a challengin...
10/27/2020 ∙ by Junhao Liu, et al. ∙ 0 ∙ share

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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 ...
10/14/2020 ∙ by Xingyao Zhang, et al. ∙ 0 ∙ share

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Towards Interpretable Reasoning over Paragraph Effects in Situation

We focus on the task of reasoning over paragraph effects in situation, w...
10/03/2020 ∙ by Mucheng Ren, et al. ∙ 0 ∙ share

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Knowledge-Aware Procedural Text Understanding with Multi-Stage Training

We focus on the task of procedural text understanding, which aims to tra...
09/28/2020 ∙ by Zhihan Zhang, et al. ∙ 0 ∙ share

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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...
09/25/2020 ∙ by Xuguang Wang, et al. ∙ 0 ∙ share

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GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis

In this paper, we focus on the imbalance issue, which is rarely studied ...
09/22/2020 ∙ by Huaishao Luo, et al. ∙ 0 ∙ share

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Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation

In a multi-turn knowledge-grounded dialog, the difference between the kn...
09/20/2020 ∙ by Chujie Zheng, et al. ∙ 3 ∙ share

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GraphCodeBERT: Pre-training Code Representations with Data Flow

Pre-trained models for programming language have achieved dramatic empir...
09/17/2020 ∙ by Daya Guo, et al. ∙ 0 ∙ share

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Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder

Generating inferential texts about an event in different perspectives re...
06/15/2020 ∙ by Daya Guo, et al. ∙ 0 ∙ share

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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...
06/13/2020 ∙ by Linjun Shou, et al. ∙ 0 ∙ share

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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...
06/13/2020 ∙ by Linjun Shou, et al. ∙ 0 ∙ share

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Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension

Natural Questions is a new challenging machine reading comprehension ben...
05/12/2020 ∙ by Bo Zheng, et al. ∙ 0 ∙ share

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RikiNet: Reading Wikipedia Pages for Natural Question Answering

Reading long documents to answer open-domain questions remains challengi...
04/30/2020 ∙ by Dayiheng Liu, et al. ∙ 0 ∙ share

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Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection

We study the detection of propagandistic text fragments in news articles...
04/29/2020 ∙ by Ruize Wang, et al. ∙ 7 ∙ share

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Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension

Multilingual pre-trained models could leverage the training data from a ...
04/29/2020 ∙ by Fei Yuan, et al. ∙ 0 ∙ share

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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...
04/28/2020 ∙ by Wanjun Zhong, et al. ∙ 0 ∙ share

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Pre-training Text Representations as Meta Learning

Pre-training text representations has recently been shown to significant...
04/12/2020 ∙ by Shangwen Lv, et al. ∙ 0 ∙ share

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Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation

News headline generation aims to produce a short sentence to attract rea...
04/08/2020 ∙ by Dayiheng Liu, et al. ∙ 0 ∙ share

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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...
04/07/2020 ∙ by Daya Guo, et al. ∙ 9 ∙ share

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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...
04/03/2020 ∙ by Yaobo Liang, et al. ∙ 0 ∙ share

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DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding

Recent studies on open-domain question answering have achieved prominent...
02/28/2020 ∙ by Yuyu Zhang, et al. ∙ 0 ∙ share

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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...
02/19/2020 ∙ by Zhangyin Feng, et al. ∙ 0 ∙ share

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K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

We study the problem of injecting knowledge into large pre-trained model...
02/05/2020 ∙ by Ruize Wang, et al. ∙ 0 ∙ share

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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...
10/18/2019 ∙ by Ze Yang, et al. ∙ 0 ∙ share

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Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base

We consider the problem of conversational question answering over a larg...
10/11/2019 ∙ by Tao Shen, et al. ∙ 0 ∙ share

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Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning

Neural semantic parsing has achieved impressive results in recent years,...
09/12/2019 ∙ by Yibo Sun, et al. ∙ 0 ∙ share

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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...
09/09/2019 ∙ by Shangwen Lv, et al. ∙ 0 ∙ share

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Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering

Many algorithms for Knowledge-Based Question Answering (KBQA) depend on ...
09/06/2019 ∙ by Tao Shen, et al. ∙ 0 ∙ share

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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...
09/03/2019 ∙ by Haoyang Huang, et al. ∙ 0 ∙ share

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Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training

We propose Unicoder-VL, a universal encoder that aims to learn joint rep...
08/16/2019 ∙ by Gen Li, et al. ∙ 7 ∙ share

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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...
04/21/2019 ∙ by Ze Yang, et al. ∙ 0 ∙ share

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NeuronBlocks -- Building Your NLP DNN Models Like Playing Lego

When building deep neural network models for natural language processing...
04/21/2019 ∙ by Ming Gong, et al. ∙ 0 ∙ share

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Assertion-based QA with Question-Aware Open Information Extraction

We present assertion based question answering (ABQA), an open domain que...
01/23/2018 ∙ by Zhao Yan, et al. ∙ 0 ∙ share

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Daxin Jiang

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