b'Luo Si'

research

∙ 05/14/2023

Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering

Existing knowledge-enhanced methods have achieved remarkable results in ...

0 Qianglong Chen, et al. ∙

research

∙ 12/09/2022

From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader

We present Pre-trained Machine Reader (PMR), a novel method to retrofit ...

0 Weiwen Xu, et al. ∙

research

∙ 11/25/2022

Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?

Neural machine translation (NMT) is often criticized for failures that h...

0 Pei Zhang, et al. ∙

research

∙ 11/18/2022

A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach

Relation extraction has the potential for large-scale knowledge graph co...

0 Yew Ken Chia, et al. ∙

research

∙ 11/17/2022

ConNER: Consistency Training for Cross-lingual Named Entity Recognition

Cross-lingual named entity recognition (NER) suffers from data scarcity ...

0 Ran Zhou, et al. ∙

research

∙ 11/16/2022

Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations

Due to the huge amount of parameters, fine-tuning of pretrained language...

11 Linlin Liu, et al. ∙

research

∙ 11/10/2022

Estimating Soft Labels for Out-of-Domain Intent Detection

Out-of-Domain (OOD) intent detection is important for practical dialog s...

0 Hao Lang, et al. ∙

research

∙ 10/26/2022

SentBS: Sentence-level Beam Search for Controllable Summarization

A wide range of control perspectives have been explored in controllable ...

0 Chenhui Shen, et al. ∙

research

∙ 10/23/2022

Towards Generalizable and Robust Text-to-SQL Parsing

Text-to-SQL parsing tackles the problem of mapping natural language ques...

0 Chang Gao, et al. ∙

research

∙ 10/21/2022

STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing

In this paper, we propose a novel SQL guided pre-training framework STAR...

0 Zefeng Cai, et al. ∙

research

∙ 10/20/2022

Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots

This paper introduces Doc2Bot, a novel dataset for building machines tha...

0 Haomin Fu, et al. ∙

research

∙ 09/14/2022

SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation

Recently, pre-training methods have shown remarkable success in task-ori...

0 Wanwei He, et al. ∙

research

∙ 09/14/2022

SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding

Pre-training methods with contrastive learning objectives have shown rem...

0 Wanwei He, et al. ∙

research

∙ 09/14/2022

SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers

This paper aims to improve the performance of text-to-SQL parsing by exp...

4 Bowen Qin, et al. ∙

research

∙ 08/31/2022

Lifelong Learning for Question Answering with Hierarchical Prompts

QA models with lifelong learning (LL) abilities are important for practi...

0 Yi Dai, et al. ∙

research

∙ 08/29/2022

A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions

Text-to-SQL parsing is an essential and challenging task. The goal of te...

0 Bowen Qin, et al. ∙

research

∙ 06/28/2022

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing

The importance of building text-to-SQL parsers which can be applied to n...

4 Lihan Wang, et al. ∙

research

∙ 06/27/2022

Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding

Multi-modal document pre-trained models have proven to be very effective...

0 Chuwei Luo, et al. ∙

research

∙ 05/30/2022

Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems

In this paper, we present Duplex Conversation, a multi-turn, multimodal ...

0 Ting-En Lin, et al. ∙

research

∙ 05/29/2022

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning

Prompt learning approaches have made waves in natural language processin...

0 Xiang Chen, et al. ∙

research

∙ 05/24/2022

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections

Large-scale pretrained foundation models have been an emerging paradigm ...

0 Chenliang Li, et al. ∙

research

∙ 05/07/2022

Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction

Multimodal named entity recognition and relation extraction (MNER and MR...

0 Xiang Chen, et al. ∙

research

∙ 05/04/2022

Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

Multimodal Knowledge Graphs (MKGs), which organize visual-text factual k...

0 Xiang Chen, et al. ∙

research

∙ 05/04/2022

Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning

Pre-trained language models have contributed significantly to relation e...

0 Xiang Chen, et al. ∙

research

∙ 03/23/2022

IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks

Traditionally, a debate usually requires a manual preparation process, i...

0 Liying Cheng, et al. ∙

research

∙ 03/17/2022

RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction

Despite the importance of relation extraction in building and representi...

0 Yew Ken Chia, et al. ∙

research

∙ 11/29/2021

GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection

Pre-trained models have proved to be powerful in enhancing task-oriented...

0 Wanwei He, et al. ∙

research

∙ 11/22/2021

Knowledge Based Multilingual Language Model

Knowledge enriched language representation learning has shown promising ...

2 Linlin Liu, et al. ∙

research

∙ 11/17/2021

Achieving Human Parity on Visual Question Answering

The Visual Question Answering (VQA) task utilizes both visual image and ...

0 Ming Yan, et al. ∙

research

∙ 10/14/2021

GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems

Much recent progress in task-oriented dialogue (ToD) systems has been dr...

8 Bosheng Ding, et al. ∙

research

∙ 10/14/2021

MReD: A Meta-Review Dataset for Controllable Text Generation

When directly using existing text generation datasets for controllable g...

0 Chenhui Shen, et al. ∙

research

∙ 08/31/2021

LightNER: A Lightweight Generative Framework with Prompt-guided Attention for Low-resource NER

Most existing NER methods rely on extensive labeled data for model train...

0 Xiang Chen, et al. ∙

research

∙ 08/31/2021

MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER

Data augmentation for cross-lingual NER requires fine-grained control ov...

0 Ran Zhou, et al. ∙

research

∙ 06/15/2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

Artificial Intelligence (AI), along with the recent progress in biomedic...

0 Ningyu Zhang, et al. ∙

research

∙ 06/07/2021

Document-level Relation Extraction as Semantic Segmentation

Document-level relation extraction aims to extract relations among multi...

0 Ningyu Zhang, et al. ∙

research

∙ 06/06/2021

On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation

Adapter-based tuning has recently arisen as an alternative to fine-tunin...

0 Ruidan He, et al. ∙

research

∙ 06/01/2021

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...

0 Yinpei Dai, et al. ∙

research

∙ 05/24/2021

StructuralLM: Structural Pre-training for Form Understanding

Large pre-trained language models achieve state-of-the-art results when ...

0 Chenliang Li, et al. ∙

research

∙ 04/29/2021

Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy

Ubiquitous internet access is reshaping the way we live, but it is accom...

0 Yongzhen Wang, et al. ∙

research

∙ 04/15/2021

AdaPrompt: Adaptive Prompt-based Finetuning for Relation Extraction

In this paper, we reformulate the relation extraction task as mask langu...

0 Xiang Chen, et al. ∙

research

∙ 03/11/2021

Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings

Cross-lingual word embeddings (CLWE) have been proven useful in many cro...

13 Linlin Liu, et al. ∙

research

∙ 01/05/2021

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

Semantic parsing has long been a fundamental problem in natural language...

0 Binyuan Hui, et al. ∙

research

∙ 11/03/2020

DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks

Data augmentation techniques have been widely used to improve machine le...

17 Bosheng Ding, et al. ∙

research

∙ 10/30/2020

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

Recent studies about learning multilingual representations have achieved...

0 Fuli Luo, et al. ∙

research

∙ 04/30/2020

Knowledge Graph Empowered Entity Description Generation

Existing works on KG-to-text generation take as input a few RDF triples ...

0 Liying Cheng, et al. ∙

research

∙ 02/08/2020

Romance in China: Mining and Visualizing 10 Million Alibaba Valentine Purchases

Valentine Day February 14, is the day of love. The days ahead of Valenti...

0 Yongzhen Wang, et al. ∙

research

∙ 12/12/2019

Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs

Graph Convolutional Networks (GCNs) have gained significant developments...

0 Menghan Wang, et al. ∙

research

∙ 11/17/2019

Rumor Detection on Social Media: Datasets, Methods and Opportunities

Social media platforms have been used for information and news gathering...

0 Quanzhi Li, et al. ∙

research

∙ 11/05/2019

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

Target-based sentiment analysis or aspect-based sentiment analysis (ABSA...

0 Haiyun Peng, et al. ∙

research

∙ 11/05/2019

Review-based Question Generation with Adaptive Instance Transfer and Augmentation

Online reviews provide rich information about products and service, whil...

0 Qian Yu, et al. ∙

Luo Si

Featured Co-authors