Fei Huang

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Tsinghua University

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

Artificial Intelligence (AI), along with the recent progress in biomedic...
06/15/2021 ∙ by Ningyu Zhang, et al. ∙ 0 ∙ share

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Document-level Relation Extraction as Semantic Segmentation

Document-level relation extraction aims to extract relations among multi...
06/07/2021 ∙ by Ningyu Zhang, et al. ∙ 0 ∙ share

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NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer

Autoregressive models have been widely used in unsupervised text style t...
06/04/2021 ∙ by Fei Huang, et al. ∙ 0 ∙ share

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E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning

Vision-language pre-training (VLP) on large-scale image-text pairs has a...
06/03/2021 ∙ by Haiyang Xu, et al. ∙ 0 ∙ share

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Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking

Existing dialog state tracking (DST) models are trained with dialog data...
06/01/2021 ∙ by Yinpei Dai, et al. ∙ 0 ∙ share

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A Semantic-based Method for Unsupervised Commonsense Question Answering

Unsupervised commonsense question answering is appealing since it does n...
05/31/2021 ∙ by Yilin Niu, et al. ∙ 0 ∙ share

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StructuralLM: Structural Pre-training for Form Understanding

Large pre-trained language models achieve state-of-the-art results when ...
05/24/2021 ∙ by Chenliang Li, et al. ∙ 0 ∙ share

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OntoED: Low-resource Event Detection with Ontology Embedding

Event Detection (ED) aims to identify event trigger words from a given t...
05/23/2021 ∙ by Shumin Deng, et al. ∙ 0 ∙ share

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Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

Recent advances in Named Entity Recognition (NER) show that document-lev...
05/08/2021 ∙ by Xinyu Wang, et al. ∙ 12 ∙ share

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Improving Biomedical Pretrained Language Models with Knowledge

Pretrained language models have shown success in many natural language p...
04/21/2021 ∙ by Zheng Yuan, et al. ∙ 0 ∙ share

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AdaPrompt: Adaptive Prompt-based Finetuning for Relation Extraction

In this paper, we reformulate the relation extraction task as mask langu...
04/15/2021 ∙ by Xiang Chen, et al. ∙ 0 ∙ share

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Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction

Recent neural-based relation extraction approaches, though achieving pro...
04/01/2021 ∙ by Luoqiu Li, et al. ∙ 0 ∙ share

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Data-adaptive Dimension Reduction for US Mortality Forecasting

Forecasting accuracy of mortality data is important for the management o...
02/08/2021 ∙ by Lingyu He, et al. ∙ 0 ∙ share

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Mortality Forecasting using Factor Models: Time-varying or Time-invariant Factor Loadings?

Many existing mortality models follow the framework of classical factor ...
02/03/2021 ∙ by Lingyu He, et al. ∙ 0 ∙ share

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Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing

Semantic parsing has long been a fundamental problem in natural language...
01/05/2021 ∙ by Binyuan Hui, et al. ∙ 0 ∙ share

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Nested Named Entity Recognition with Partially-Observed TreeCRFs

Named entity recognition (NER) is a well-studied task in natural languag...
12/15/2020 ∙ by Yao Fu, et al. ∙ 0 ∙ share

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Bearings degradation monitoring indicators based on discarded projected space information and piecewise linear representation

Condition-based maintenance of rotating mechanics requests efficient bea...
12/07/2020 ∙ by Fei Huang, et al. ∙ 0 ∙ share

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An Investigation of Potential Function Designs for Neural CRF

The neural linear-chain CRF model is one of the most widely-used approac...
11/11/2020 ∙ by Zechuan Hu, et al. ∙ 16 ∙ share

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VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation

Recent studies about learning multilingual representations have achieved...
10/30/2020 ∙ by Fuli Luo, et al. ∙ 0 ∙ share

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Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference

Keyphrase extraction (KE) aims to summarize a set of phrases that accura...
10/24/2020 ∙ by Haoyu Zhang, et al. ∙ 0 ∙ share

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Structural Knowledge Distillation

Knowledge distillation is a critical technique to transfer knowledge bet...
10/10/2020 ∙ by Xinyu Wang, et al. ∙ 8 ∙ share

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Automated Concatenation of Embeddings for Structured Prediction

Pretrained contextualized embeddings are powerful word representations f...
10/10/2020 ∙ by Xinyu Wang, et al. ∙ 4 ∙ share

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Aspect Sentiment Classification with Aspect-Specific Opinion Spans

Aspect based sentiment analysis, predicting sentiment polarity of given ...
10/06/2020 ∙ by Lu Xu, et al. ∙ 0 ∙ share

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More Embeddings, Better Sequence Labelers?

Recent work proposes a family of contextual embeddings that significantl...
09/17/2020 ∙ by Xinyu Wang, et al. ∙ 0 ∙ share

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Fast and Accurate Sequence Labeling with Approximate Inference Network

The linear-chain Conditional Random Field (CRF) model is one of the most...
09/17/2020 ∙ by Xinyu Wang, et al. ∙ 4 ∙ share

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Contrastive Triple Extraction with Generative Transformer

Triple extraction is an essential task in information extraction for nat...
09/14/2020 ∙ by Hongbin Ye, et al. ∙ 0 ∙ share

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Structure-Level Knowledge Distillation For Multilingual Sequence Labeling

Multilingual sequence labeling is a task of predicting label sequences u...
04/08/2020 ∙ by Xinyu Wang, et al. ∙ 8 ∙ share

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CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation

In text generation evaluation, many practical issues, such as inconsiste...
02/03/2020 ∙ by Fei Huang, et al. ∙ 0 ∙ share

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A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation

Story generation, namely generating a reasonable story from a leading co...
01/15/2020 ∙ by Jian Guan, et al. ∙ 0 ∙ share

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Event Ticket Price Prediction with Deep Neural Network on Spatial-Temporal Sparse Data

Event ticket price prediction is important to marketing strategy for any...
12/03/2019 ∙ by Fei Huang, et al. ∙ 0 ∙ share

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Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis

Target-based sentiment analysis or aspect-based sentiment analysis (ABSA...
11/05/2019 ∙ by Haiyun Peng, et al. ∙ 0 ∙ share

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ARAML: A Stable Adversarial Training Framework for Text Generation

Most of the existing generative adversarial networks (GAN) for text gene...
08/20/2019 ∙ by Pei Ke, et al. ∙ 0 ∙ share

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Unsupervised Multi-modal Neural Machine Translation

Unsupervised neural machine translation (UNMT) has recently achieved rem...
11/28/2018 ∙ by Yuanhang Su, et al. ∙ 0 ∙ share

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