research
∙
08/21/2023
Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning
Numerical reasoning is vital for natural language processing models to u...
share
research
∙
07/19/2023
Improving Domain Generalization for Sound Classification with Sparse Frequency-Regularized Transformer
Sound classification models' performance suffers from generalizing on ou...
research
∙
07/14/2023
MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System
Multi-modal sarcasm detection has attracted much recent attention. Never...
research
∙
06/15/2023
MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification
Prompting methods have shown impressive performance in a variety of text...
research
∙
06/05/2023
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images
Structured text extraction is one of the most valuable and challenging a...
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 ...
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...
research
∙
05/09/2023
CSED: A Chinese Semantic Error Diagnosis Corpus
Recently, much Chinese text error correction work has focused on Chinese...
research
∙
04/27/2023
Controllable Data Augmentation for Context-Dependent Text-to-SQL
The limited scale of annotated data constraints existing context-depende...
research
∙
04/19/2023
MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning
Prompt-based learning reformulates downstream tasks as cloze problems by...
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...
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...
research
∙
02/04/2023
Semantic-Guided Image Augmentation with Pre-trained Models
Image augmentation is a common mechanism to alleviate data scarcity in c...
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...
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, ...
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...
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...
research
∙
12/12/2022
A Survey on Natural Language Processing for Programming
Natural language processing for programming, which aims to use NLP techn...
research
∙
11/10/2022
LERT: A Linguistically-motivated Pre-trained Language Model
Pre-trained Language Model (PLM) has become a representative foundation ...
research
∙
09/23/2022
MetaPrompting: Learning to Learn Better Prompts
Prompting method is regarded as one of the crucial progress for few-shot...
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...
research
∙
05/25/2022
Language Anisotropic Cross-Lingual Model Editing
Pre-trained language models learn large amounts of knowledge from their ...
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...
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...
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...
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...
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...
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...
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...
research
∙
10/05/2021
Data Augmentation Approaches in Natural Language Processing: A Survey
As an effective strategy, data augmentation (DA) alleviates data scarcit...
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...
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...
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...
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...
research
∙
08/26/2021
Understanding Attention in Machine Reading Comprehension
Achieving human-level performance on some of Machine Reading Comprehensi...
research
∙
06/15/2021
Consistency Regularization for Cross-Lingual Fine-Tuning
Fine-tuning pre-trained cross-lingual language models can transfer task-...
research
∙
06/08/2021
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings
Adversarial training (AT) as a regularization method has proved its effe...
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 ...
research
∙
06/03/2021
Bilingual Alignment Pre-training for Zero-shot Cross-lingual Transfer
Multilingual pre-trained models have achieved remarkable transfer perfor...
research
∙
05/10/2021
ExpMRC: Explainability Evaluation for Machine Reading Comprehension
Achieving human-level performance on some of Machine Reading Comprehensi...
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 ...
research
∙
12/31/2020
Discovering Dialog Structure Graph for Open-Domain Dialog Generation
Learning interpretable dialog structure from human-human dialogs yields ...
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...
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 ...
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...
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...
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...
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...
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...
research
∙
09/24/2020
