b'Tiejun Zhao'

research

∙ 08/22/2023

HopPG: Self-Iterative Program Generation for Multi-Hop Question Answering over Heterogeneous Knowledge

The semantic parsing-based method is an important research branch for kn...

0 Yingyao Wang, et al. ∙

research

∙ 07/20/2023

Learning and Evaluating Human Preferences for Conversational Head Generation

A reliable and comprehensive evaluation metric that aligns with manual p...

0 Mohan Zhou, et al. ∙

research

∙ 07/05/2023

Interactive Conversational Head Generation

We introduce a new conversation head generation benchmark for synthesizi...

0 Mohan Zhou, et al. ∙

research

∙ 06/21/2023

Visual-Aware Text-to-Speech

Dynamically synthesizing talking speech that actively responds to a list...

0 Mohan Zhou, et al. ∙

research

∙ 05/24/2023

CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition

Cross-lingual named entity recognition (NER) aims to train an NER system...

0 Tingting Ma, et al. ∙

research

∙ 10/20/2022

Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers

This paper presents ReasonFormer, a unified reasoning framework for mirr...

0 Wanjun Zhong, et al. ∙

research

∙ 10/19/2022

MuGER^2: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid Question Answering

Hybrid question answering (HQA) aims to answer questions over heterogene...

0 Yingyao Wang, et al. ∙

research

∙ 10/15/2022

UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation

Question answering requiring discrete reasoning, e.g., arithmetic comput...

0 Yongwei Zhou, et al. ∙

research

∙ 04/27/2022

Document-Level Relation Extraction with Sentences Importance Estimation and Focusing

Document-level relation extraction (DocRE) aims to determine the relatio...

0 Wang Xu, et al. ∙

research

∙ 04/12/2022

Decomposed Meta-Learning for Few-Shot Named Entity Recognition

Few-shot named entity recognition (NER) systems aim at recognizing novel...

0 Tingting Ma, et al. ∙

research

∙ 04/12/2022

CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection

Compared with unimodal data, multimodal data can provide more features t...

0 Zhen Li, et al. ∙

research

∙ 12/27/2021

Responsive Listening Head Generation: A Benchmark Dataset and Baseline

Responsive listening during face-to-face conversations is a critical ele...

3 Mohan Zhou, et al. ∙

research

∙ 08/20/2021

A Neural Conversation Generation Model via Equivalent Shared Memory Investigation

Conversation generation as a challenging task in Natural Language Genera...

0 Changzhen Ji, et al. ∙

research

∙ 08/18/2021

EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension

Reasoning machine reading comprehension (R-MRC) aims to answer complex q...

0 Yongwei Zhou, et al. ∙

research

∙ 06/03/2021

Discriminative Reasoning for Document-level Relation Extraction

Document-level relation extraction (DocRE) models generally use graph ne...

0 Wang Xu, et al. ∙

research

∙ 05/26/2021

Word Embedding Transformation for Robust Unsupervised Bilingual Lexicon Induction

Great progress has been made in unsupervised bilingual lexicon induction...

0 Hailong Cao, et al. ∙

research

∙ 03/16/2021

Gumbel-Attention for Multi-modal Machine Translation

Multi-modal machine translation (MMT) improves translation quality by in...

0 Pengbo Liu, et al. ∙

research

∙ 12/21/2020

Document-Level Relation Extraction with Reconstruction

In document-level relation extraction (DocRE), graph structure is genera...

0 Wang Xu, et al. ∙

research

∙ 10/22/2020

AI-lead Court Debate Case Investigation

The multi-role judicial debate composed of the plaintiff, defendant, and...

0 Changzhen Ji, et al. ∙

research

∙ 10/22/2020

Cross Copy Network for Dialogue Generation

In the past few years, audiences from different fields witness the achie...

0 Changzhen Ji, et al. ∙

research

∙ 10/21/2020

Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training

This paper aims to enhance the few-shot relation classification especial...

0 Yingyao Wang, et al. ∙

research

∙ 10/15/2020

Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark

Recent studies show that crowd-sourced Natural Language Inference (NLI) ...

0 Guanhua Zhang, et al. ∙

research

∙ 04/29/2020

Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting

With the recent proliferation of the use of text classifications, resear...

0 Guanhua Zhang, et al. ∙

research

∙ 04/21/2020

Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation

Unsupervised neural machine translation (UNMT) has recently achieved rem...

0 Haipeng Sun, et al. ∙

research

∙ 04/09/2020

Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios

Unsupervised neural machine translation (UNMT) that relies solely on mas...

0 Haipeng Sun, et al. ∙

research

∙ 04/05/2020

Understanding Learning Dynamics for Neural Machine Translation

Despite the great success of NMT, there still remains a severe challenge...

0 Conghui Zhu, et al. ∙

research

∙ 04/05/2020

Detecting and Understanding Generalization Barriers for Neural Machine Translation

Generalization to unseen instances is our eternal pursuit for all data-d...

0 Guanlin Li, et al. ∙

research

∙ 03/31/2020

Look-into-Object: Self-supervised Structure Modeling for Object Recognition

Most object recognition approaches predominantly focus on learning discr...

6 Mohan Zhou, et al. ∙

research

∙ 02/28/2020

Modeling Future Cost for Neural Machine Translation

Existing neural machine translation (NMT) systems utilize sequence-to-se...

0 Chaoqun Duan, et al. ∙

research

∙ 02/28/2020

Robust Unsupervised Neural Machine Translation with Adversarial Training

Unsupervised neural machine translation (UNMT) has recently attracted gr...

0 Haipeng Sun, et al. ∙

research

∙ 02/07/2020

Multimodal Matching Transformer for Live Commenting

Automatic live commenting aims to provide real-time comments on videos f...

0 Chaoqun Duan, et al. ∙

research

∙ 09/10/2019

Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability

Natural language inference (NLI) aims at predicting the relationship bet...

0 Guanhua Zhang, et al. ∙

research

∙ 09/03/2019

Duality Regularization for Unsupervised Bilingual Lexicon Induction

Unsupervised bilingual lexicon induction naturally exhibits duality, whi...

0 Xuefeng Bai, et al. ∙

research

∙ 08/26/2019

An Empirical Study of Domain Adaptation for Unsupervised Neural Machine Translation

Domain adaptation methods have been well-studied in supervised neural ma...

0 Haipeng Sun, et al. ∙

research

∙ 05/15/2019

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

Natural Language Sentence Matching (NLSM) has gained substantial attenti...

6 Guanhua Zhang, et al. ∙

research

∙ 07/06/2018

Neural Document Summarization by Jointly Learning to Score and Select Sentences

Sentence scoring and sentence selection are two main steps in extractive...

0 Qingyu Zhou, et al. ∙

research

∙ 05/29/2018

Table-to-Text: Describing Table Region with Natural Language

In this paper, we present a generative model to generate a natural langu...

0 Junwei Bao, et al. ∙

research

∙ 11/12/2017

Syntax-Directed Attention for Neural Machine Translation

Attention mechanism, including global attention and local attention, pla...

0 Kehai Chen, et al. ∙

research

∙ 08/28/2017

Automatic Dataset Augmentation

Large scale image dataset and deep convolutional neural network (DCNN) a...

0 Yalong Bai, et al. ∙

research

∙ 12/01/2015

Augmenting Phrase Table by Employing Lexicons for Pivot-based SMT

Pivot language is employed as a way to solve the data sparseness problem...

0 Yiming Cui, et al. ∙

research

∙ 12/17/2013

Learning High-level Image Representation for Image Retrieval via Multi-Task DNN using Clickthrough Data

Image retrieval refers to finding relevant images from an image database...

0 Yalong Bai, et al. ∙

Tiejun Zhao

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