b'Wanxiang Che'

research

∙ 05/31/2023

ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning

Two-Tower Vision-Language (VL) models have shown promising improvements ...

0 Xiao Xu, et al. ∙

research

∙ 05/17/2023

OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding

Spoken Language Understanding (SLU) is one of the core components of a t...

0 Libo Qin, et al. ∙

research

∙ 05/09/2023

CSED: A Chinese Semantic Error Diagnosis Corpus

Recently, much Chinese text error correction work has focused on Chinese...

0 Bo Sun, et al. ∙

research

∙ 04/27/2023

Controllable Data Augmentation for Context-Dependent Text-to-SQL

The limited scale of annotated data constraints existing context-depende...

0 Dingzirui Wang, et al. ∙

research

∙ 04/19/2023

MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning

Prompt-based learning reformulates downstream tasks as cloze problems by...

0 Bohan Li, et al. ∙

research

∙ 04/18/2023

A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification

Cross-domain text classification aims to adapt models to a target domain...

0 Yunlong Feng, et al. ∙

research

∙ 04/09/2023

A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding

Zero-shot dialogue understanding aims to enable dialogue to track the us...

0 Wenbo Pan, et al. ∙

research

∙ 02/04/2023

Semantic-Guided Image Augmentation with Pre-trained Models

Image augmentation is a common mechanism to alleviate data scarcity in c...

0 Bohan Li, et al. ∙

research

∙ 01/05/2023

HIT-SCIR at MMNLU-22: Consistency Regularization for Multilingual Spoken Language Understanding

Multilingual spoken language understanding (SLU) consists of two sub-tas...

0 Bo Zheng, et al. ∙

research

∙ 01/03/2023

Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge

In this paper, we study the problem of knowledge-intensive text-to-SQL, ...

0 Longxu Dou, et al. ∙

research

∙ 12/27/2022

MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing

Text-to-SQL semantic parsing is an important NLP task, which greatly fac...

0 Longxu Dou, et al. ∙

research

∙ 12/27/2022

A Survey on Table-and-Text HybridQA: Concepts, Methods, Challenges and Future Directions

Table-and-text hybrid question answering (HybridQA) is a widely used and...

0 Dingzirui Wang, et al. ∙

research

∙ 12/12/2022

A Survey on Natural Language Processing for Programming

Natural language processing for programming, which aims to use NLP techn...

0 Qingfu Zhu, et al. ∙

research

∙ 11/10/2022

LERT: A Linguistically-motivated Pre-trained Language Model

Pre-trained Language Model (PLM) has become a representative foundation ...

0 Yiming Cui, et al. ∙

research

∙ 09/23/2022

MetaPrompting: Learning to Learn Better Prompts

Prompting method is regarded as one of the crucial progress for few-shot...

0 Yutai Hou, et al. ∙

research

∙ 08/11/2022

Overview of CTC 2021: Chinese Text Correction for Native Speakers

In this paper, we present an overview of the CTC 2021, a Chinese text co...

0 Honghong Zhao, et al. ∙

research

∙ 05/25/2022

Language Anisotropic Cross-Lingual Model Editing

Pre-trained language models learn large amounts of knowledge from their ...

0 Yang Xu, et al. ∙

research

∙ 04/18/2022

GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding

Due to high data demands of current methods, attention to zero-shot cros...

0 Libo Qin, et al. ∙

research

∙ 04/15/2022

Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition

Existing Chinese text error detection mainly focuses on spelling and sim...

0 Bo Sun, et al. ∙

research

∙ 04/02/2022

Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging

Prompting methods recently achieve impressive success in few-shot learni...

0 Yutai Hou, et al. ∙

research

∙ 03/15/2022

UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL

Existing text-to-SQL semantic parsers are typically designed for particu...

0 Longxu Dou, et al. ∙

research

∙ 02/10/2022

InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities

Knowledge graph embedding (KGE) models learn the representation of entit...

0 Baoxin Wang, et al. ∙

research

∙ 01/20/2022

Learning-based Hybrid Local Search for the Hard-label Textual Attack

Deep neural networks are vulnerable to adversarial examples in Natural L...

0 Zhen Yu, et al. ∙

research

∙ 12/22/2021

Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding

Current researches on spoken language understanding (SLU) heavily are li...

0 Xiao Xu, et al. ∙

research

∙ 10/05/2021

Data Augmentation Approaches in Natural Language Processing: A Survey

As an effective strategy, data augmentation (DA) alleviates data scarcit...

0 Bohan Li, et al. ∙

research

∙ 09/27/2021

Discovering Drug-Target Interaction Knowledge from Biomedical Literature

The Interaction between Drugs and Targets (DTI) in human body plays a cr...

0 Yutai Hou, et al. ∙

research

∙ 09/23/2021

Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System

Consistency Identification has obtained remarkable success on open-domai...

0 Libo Qin, et al. ∙

research

∙ 09/18/2021

DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation

In this paper, we provide a bilingual parallel human-to-human recommenda...

0 Zeming Liu, et al. ∙

research

∙ 09/15/2021

Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training

Compared to monolingual models, cross-lingual models usually require a m...

0 Bo Zheng, et al. ∙

research

∙ 08/26/2021

Understanding Attention in Machine Reading Comprehension

Achieving human-level performance on some of Machine Reading Comprehensi...

0 Yiming Cui, et al. ∙

research

∙ 06/15/2021

Consistency Regularization for Cross-Lingual Fine-Tuning

Fine-tuning pre-trained cross-lingual language models can transfer task-...

0 Bo Zheng, et al. ∙

research

∙ 06/08/2021

Adversarial Training for Machine Reading Comprehension with Virtual Embeddings

Adversarial training (AT) as a regularization method has proved its effe...

0 Ziqing Yang, et al. ∙

research

∙ 06/03/2021

GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling

Multi-intent SLU can handle multiple intents in an utterance, which has ...

0 Libo Qin, et al. ∙

research

∙ 06/03/2021

Bilingual Alignment Pre-training for Zero-shot Cross-lingual Transfer

Multilingual pre-trained models have achieved remarkable transfer perfor...

0 Ziqing Yang, et al. ∙

research

∙ 05/10/2021

ExpMRC: Explainability Evaluation for Machine Reading Comprehension

Achieving human-level performance on some of Machine Reading Comprehensi...

0 Yiming Cui, et al. ∙

research

∙ 03/04/2021

A Survey on Spoken Language Understanding: Recent Advances and New Frontiers

Spoken Language Understanding (SLU) aims to extract the semantics frame ...

0 Libo Qin, et al. ∙

research

∙ 12/31/2020

Discovering Dialog Structure Graph for Open-Domain Dialog Generation

Learning interpretable dialog structure from human-human dialogs yields ...

0 Jun Xu, et al. ∙

research

∙ 12/29/2020

LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding

Pre-training of text and layout has proved effective in a variety of vis...

0 Yang Xu, et al. ∙

research

∙ 12/24/2020

Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification

In a dialog system, dialog act recognition and sentiment classification ...

0 Libo Qin, et al. ∙

research

∙ 12/13/2020

C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling

Slot filling, a fundamental module of spoken language understanding, oft...

0 Yutai Hou, et al. ∙

research

∙ 10/29/2020

Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection

Most existing approaches to disfluency detection heavily rely on human-a...

0 Shaolei Wang, et al. ∙

research

∙ 10/11/2020

Few-shot Learning for Multi-label Intent Detection

In this paper, we study the few-shot multi-label classification for user...

0 Yutai Hou, et al. ∙

research

∙ 10/08/2020

Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding

Intent detection and slot filling are two closely related tasks for buil...

0 Dechuang Teng, et al. ∙

research

∙ 10/08/2020

A Co-Interactive Transformer for Joint Slot Filling and Intent Detection

Intent detection and slot filling are two main tasks for building a spok...

0 Libo Qin, et al. ∙

research

∙ 09/24/2020

N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models

We introduce N-LTP, an open-source Python Chinese natural language proce...

0 Wanxiang Che, et al. ∙

research

∙ 09/17/2020

FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding

Few-learn learning (FSL) is one of the key future steps in machine learn...

10 Yutai Hou, et al. ∙

research

∙ 08/16/2020

DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification

In dialog system, dialog act recognition and sentiment classification ar...

0 Libo Qin, et al. ∙

research

∙ 06/11/2020

CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP

Multi-lingual contextualized embeddings, such as multilingual-BERT (mBER...

0 Libo Qin, et al. ∙

research

∙ 06/10/2020

Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

In this paper, we explore the slot tagging with only a few labeled suppo...

0 Yutai Hou, et al. ∙

research

∙ 05/12/2020

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

Natural Questions is a new challenging machine reading comprehension ben...

0 Bo Zheng, et al. ∙

Wanxiang Che

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