b'Yue Zhang'

research

∙ 08/17/2022

Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction

Target-oriented Opinion Words Extraction (TOWE) is a fine-grained sentim...

Yidong Wang, et al. ∙

research

∙ 08/12/2022

USB: A Unified Semi-supervised Learning Benchmark

Semi-supervised learning (SSL) improves model generalization by leveragi...

Yidong Wang, et al. ∙

research

∙ 08/10/2022

Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction

Both visual and auditory information are valuable to determine the salie...

Yingzi Fan, et al. ∙

research

∙ 07/13/2022

A General Contextualized Rewriting Framework for Text Summarization

The rewriting method for text summarization combines extractive and abst...

Guangsheng Bao, et al. ∙

research

∙ 06/23/2022

Mining Error Templates for Grammatical Error Correction

Some grammatical error correction (GEC) systems incorporate hand-crafted...

Yue Zhang, et al. ∙

research

∙ 05/22/2022

A Graph Enhanced BERT Model for Event Prediction

Predicting the subsequent event for an existing event context is an impo...

Li Du, et al. ∙

research

∙ 05/01/2022

The Cross-lingual Conversation Summarization Challenge

We propose the shared task of cross-lingual conversation summarization, ...

Yulong Chen, et al. ∙

research

∙ 04/27/2022

Computing the Lyapunov operator φ-functions, with an application to matrix-valued exponential integrators

In this paper, we develop efficient and accurate evaluation for the Lyap...

Dongping Li, et al. ∙

research

∙ 04/23/2022

MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction

This paper presents MuCGEC, a multi-reference multi-source evaluation da...

Yue Zhang, et al. ∙

research

∙ 04/23/2022

An Efficient Approach for Optimizing the Cost-effective Individualized Treatment Rule Using Conditional Random Forest

Evidence from observational studies has become increasingly important fo...

Yizhe Xu, et al. ∙

research

∙ 04/17/2022

On Effectively Learning of Knowledge in Continual Pre-training

Pre-trained language models (PLMs) like BERT have made significant progr...

Cunxiang Wang, et al. ∙

research

∙ 04/15/2022

Towards Fine-grained Causal Reasoning and QA

Understanding causality is key to the success of NLP applications, espec...

Linyi Yang, et al. ∙

research

∙ 04/15/2022

On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART

Word ordering is a constrained language generation task taking unordered...

Zebin Ou, et al. ∙

research

∙ 04/14/2022

Challenges for Open-domain Targeted Sentiment Analysis

Since previous studies on open-domain targeted sentiment analysis are li...

Yun Luo, et al. ∙

research

∙ 03/24/2022

A Rationale-Centric Framework for Human-in-the-loop Machine Learning

We present a novel rationale-centric framework with human-in-the-loop – ...

Jinghui Lu, et al. ∙

research

∙ 03/16/2022

Multi-Scale Context-Guided Lumbar Spine Disease Identification with Coarse-to-fine Localization and Classification

Accurate and efficient lumbar spine disease identification is crucial fo...

ZiFan Chen, et al. ∙

research

∙ 03/15/2022

Graph Pre-training for AMR Parsing and Generation

Abstract meaning representation (AMR) highlights the core semantic infor...

Xuefeng Bai, et al. ∙

research

∙ 03/07/2022

Towards Robust Online Dialogue Response Generation

Although pre-trained sequence-to-sequence models have achieved great suc...

Leyang Cui, et al. ∙

research

∙ 02/09/2022

Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization

In cooperative multi-agent systems, agents jointly take actions and rece...

Jian Zhao, et al. ∙

research

∙ 01/05/2022

Analysis of lane-change conflict between cars and trucks at merging section using UAV video data

The freeway on-ramp merging section is often identified as a crash-prone...

Yichen Lu, et al. ∙

research

∙ 01/05/2022

NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting

Financial forecasting has been an important and active area of machine l...

Linyi Yang, et al. ∙

research

∙ 10/23/2021

Confidence-Aware Active Feedback for Efficient Instance Search

Relevance feedback is widely used in instance search (INS) tasks to furt...

Yue Zhang, et al. ∙

research

∙ 10/15/2021

PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation

3D shape representation and its processing have substantial effects on 3...

Mohsen Yavartanoo, et al. ∙

research

∙ 10/14/2021

Solving Aspect Category Sentiment Analysis as a Text Generation Task

Aspect category sentiment analysis has attracted increasing research att...

Jian Liu, et al. ∙

research

∙ 09/14/2021

Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization

In this paper, we proposed and validated a fully automatic pipeline for ...

Pinyuan Zhong, et al. ∙

research

∙ 09/12/2021

Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation

Although pre-training models have achieved great success in dialogue gen...

Leyang Cui, et al. ∙

research

∙ 09/08/2021

Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation

Recent work on multilingual AMR-to-text generation has exclusively focus...

Leonardo F. R. Ribeiro, et al. ∙

research

∙ 08/15/2021

Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning

To quantitatively and intuitively explore the generalization ability of ...

Cunxiang Wang, et al. ∙

research

∙ 08/04/2021

Feature Curves and Surfaces of 3D Asymmetric Tensor Fields

3D asymmetric tensor fields have found many applications in science and ...

Shih-Hsuan Hung, et al. ∙

research

∙ 08/02/2021

Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting

Multi-phase computed tomography (CT) images provide crucial complementar...

Yue Zhang, et al. ∙

research

∙ 08/02/2021

Automatic Polygon Layout for Primal-Dual Visualization of Hypergraphs

N-ary relationships, which relate N entities where N is not necessarily ...

Botong Qu, et al. ∙

research

∙ 07/20/2021

S2Looking: A Satellite Side-Looking Dataset for Building Change Detection

Collecting large-scale annotated satellite imagery datasets is essential...

Li Shen, et al. ∙

research

∙ 07/03/2021

Supervised Off-Policy Ranking

Off-policy evaluation (OPE) leverages data generated by other policies t...

Yue Jin, et al. ∙

research

∙ 06/29/2021

Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis

While state-of-the-art NLP models have been achieving the excellent perf...

Linyi Yang, et al. ∙

research

∙ 06/03/2021

Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA?

Recent work has investigated the interesting question using pre-trained ...

Cunxiang Wang, et al. ∙

research

∙ 05/31/2021

On Compositional Generalization of Neural Machine Translation

Modern neural machine translation (NMT) models have achieved competitive...

Yafu Li, et al. ∙

research

∙ 05/31/2021

G-Transformer for Document-level Machine Translation

Document-level MT models are still far from satisfactory. Existing work ...

Guangsheng Bao, et al. ∙

research

∙ 05/22/2021

V2V Spatiotemporal Interactive Pattern Recognition and Risk Analysis in Lane Changes

In complex lane change (LC) scenarios, semantic interpretation and safet...

Yue Zhang, et al. ∙

research

∙ 05/21/2021

Semantic Representation for Dialogue Modeling

Although neural models have achieved competitive results in dialogue sys...

Xuefeng Bai, et al. ∙

research

∙ 05/15/2021

Lexicon Enhanced Chinese Sequence Labeling Using BERT Adapter

Lexicon information and pre-trained models, such as BERT, have been comb...

Wei Liu, et al. ∙

research

∙ 05/14/2021

Towards Navigation by Reasoning over Spatial Configurations

We deal with the navigation problem where the agent follows natural lang...

Yue Zhang, et al. ∙

research

∙ 03/21/2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

Various robustness evaluation methodologies from different perspectives ...

Tao Gui, et al. ∙

research

∙ 03/16/2021

Structural Adapters in Pretrained Language Models for AMR-to-text Generation

Previous work on text generation from graph-structured data relies on pr...

Leonardo F. R. Ribeiro, et al. ∙

research

∙ 03/12/2021

Constrained Text Generation with Global Guidance – Case Study on CommonGen

This paper studies constrained text generation, which is to generate sen...

Yixian Liu, et al. ∙

research

∙ 02/27/2021

PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images

In this paper, we propose a phase attention residual network (PA-ResSeg)...

Yingying Xu, et al. ∙

research

∙ 02/23/2021

DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning

Thermal power generation plays a dominant role in the world's electricit...

Xianyuan Zhan, et al. ∙

research

∙ 02/19/2021

A GAN-Based Input-Size Flexibility Model for Single Image Dehazing

Image-to-image translation based on generative adversarial network (GAN)...

Shichao Kan, et al. ∙

research

∙ 02/12/2021

Structural Information Preserving for Graph-to-Text Generation

The task of graph-to-text generation aims at producing sentences that pr...

Linfeng Song, et al. ∙

research

∙ 01/31/2021

Contextualized Rewriting for Text Summarization

Extractive summarization suffers from irrelevance, redundancy and incohe...

Guangsheng Bao, et al. ∙

research

∙ 12/30/2020

SemGloVe: Semantic Co-occurrences for GloVe from BERT

GloVe learns word embeddings by leveraging statistical information from ...

Leilei Gan, et al. ∙

Yue Zhang

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