b'Minghui Qiu'

research

∙ 08/17/2023

FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings

Logo embedding plays a crucial role in various e-commerce applications b...

0 Yulin Su, et al. ∙

research

∙ 06/12/2023

Valley: Video Assistant with Large Language model Enhanced abilitY

Recently, several multi-modal models have been developed for joint image...

0 Ruipu Luo, et al. ∙

research

∙ 10/17/2022

SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition

Few-shot Named Entity Recognition (NER) aims to identify named entities ...

0 Jianing Wang, et al. ∙

research

∙ 05/11/2022

Towards Unified Prompt Tuning for Few-shot Text Classification

Prompt-based fine-tuning has boosted the performance of Pre-trained Lang...

0 Jianing Wang, et al. ∙

research

∙ 05/06/2022

KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering

Extractive Question Answering (EQA) is one of the most important tasks i...

0 Jianing Wang, et al. ∙

research

∙ 04/30/2022

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing

The success of Pre-Trained Models (PTMs) has reshaped the development of...

25 Chengyu Wang, et al. ∙

research

∙ 04/19/2022

Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System

Knowledge graph (KG) plays an increasingly important role in recommender...

0 Ding Zou, et al. ∙

research

∙ 04/01/2022

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning

Pre-trained Language Models (PLMs) have achieved remarkable performance ...

0 Ziyun Xu, et al. ∙

research

∙ 12/02/2021

DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding

Knowledge-Enhanced Pre-trained Language Models (KEPLMs) are pre-trained ...

0 Taolin Zhang, et al. ∙

research

∙ 10/16/2021

HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression

On many natural language processing tasks, large pre-trained language mo...

0 Chenhe Dong, et al. ∙

research

∙ 08/20/2021

SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining

Recently, the performance of Pre-trained Language Models (PLMs) has been...

15 Taolin Zhang, et al. ∙

research

∙ 07/26/2021

Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification

Meta-learning has emerged as a trending technique to tackle few-shot tex...

0 ChengCheng Han, et al. ∙

research

∙ 06/09/2021

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

Session-based recommendation (SBR) is a challenging task, which aims at ...

0 Ziyang Wang, et al. ∙

research

∙ 03/30/2021

Kaleido-BERT: Vision-Language Pre-training on Fashion Domain

We present a new vision-language (VL) pre-training model dubbed Kaleido-...

0 Mingchen Zhuge, et al. ∙

research

∙ 01/20/2021

Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation

Despite pre-trained language models such as BERT have achieved appealing...

0 Lingyun Feng, et al. ∙

research

∙ 12/02/2020

Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains

Pre-trained language models have been applied to various NLP tasks with ...

0 Haojie Pan, et al. ∙

research

∙ 11/25/2020

Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations

Intelligent personal assistant systems for information-seeking conversat...

8 Haojie Pan, et al. ∙

research

∙ 11/20/2020

Exploring Global Information for Session-based Recommendation

Session-based recommendation (SBR) is a challenging task, which aims at ...

0 Ziyang Wang, et al. ∙

research

∙ 11/18/2020

EasyTransfer – A Simple and Scalable Deep Transfer Learning Platform for NLP Applications

The literature has witnessed the success of applying deep Transfer Learn...

63 Minghui Qiu, et al. ∙

research

∙ 09/09/2020

One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction

Structured information extraction from document images usually consists ...

21 Mengli Cheng, et al. ∙

research

∙ 09/04/2020

A Comprehensive Analysis of Information Leakage in Deep Transfer Learning

Transfer learning is widely used for transferring knowledge from a sourc...

0 Cen Chen, et al. ∙

research

∙ 08/24/2020

Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources

Machine Reading Comprehension (MRC) aims to extract answers to questions...

4 Taolin Zhang, et al. ∙

research

∙ 05/22/2020

Open-Retrieval Conversational Question Answering

Conversational search is one of the ultimate goals of information retrie...

0 Chen Qu, et al. ∙

research

∙ 05/20/2020

FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval

In this paper, we address the text and image matching in cross-modal ret...

8 Dehong Gao, et al. ∙

research

∙ 05/13/2020

End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization

ROUGE is the de facto criterion for summarization research. However, its...

0 Forrest Sheng Bao, et al. ∙

research

∙ 03/29/2020

Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining

Pre-trained neural language models bring significant improvement for var...

0 Chengyu Wang, et al. ∙

research

∙ 02/25/2020

KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification

Lexical relations describe how concepts are semantically related, in the...

0 Chengyu Wang, et al. ∙

research

∙ 02/03/2020

IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems

Personal assistant systems, such as Apple Siri, Google Assistant, Amazon...

0 Liu Yang, et al. ∙

research

∙ 01/13/2020

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search

Large pre-trained language models such as BERT have shown their effectiv...

0 Daoyuan Chen, et al. ∙

research

∙ 08/26/2019

Attentive History Selection for Conversational Question Answering

Conversational question answering (ConvQA) is a simplified but concrete ...

0 Chen Qu, et al. ∙

research

∙ 05/14/2019

BERT with History Answer Embedding for Conversational Question Answering

Conversational search is an emerging topic in the information retrieval ...

0 Chen Qu, et al. ∙

research

∙ 04/19/2019

A Hybrid Retrieval-Generation Neural Conversation Model

Intelligent personal assistant systems, with either text-based or voice-...

0 Liu Yang, et al. ∙

research

∙ 02/07/2019

Artificial Intelligence for Prosthetics - challenge solutions

In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...

0 Łukasz Kidziński, et al. ∙

research

∙ 01/11/2019

User Intent Prediction in Information-seeking Conversations

Conversational assistants are being progressively adopted by the general...

0 Chen Qu, et al. ∙

research

∙ 12/30/2018

Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching

Deep text matching approaches have been widely studied for many applicat...

0 Chen Qu, et al. ∙

research

∙ 08/29/2018

Review Helpfulness Prediction with Embedding-Gated CNN

Product reviews, in the form of texts dominantly, significantly help con...

0 Cen Chen, et al. ∙

research

∙ 06/14/2018

Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce

Building multi-turn information-seeking conversation systems is an impor...

0 Minghui Qiu, et al. ∙

research

∙ 05/03/2018

IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection

Incidental scene text detection, especially for multi-oriented text regi...

0 Qiangpeng Yang, et al. ∙

research

∙ 05/01/2018

Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems

Intelligent personal assistant systems with either text-based or voice-b...

0 Liu Yang, et al. ∙

research

∙ 04/23/2018

Analyzing and Characterizing User Intent in Information-seeking Conversations

Understanding and characterizing how people interact in information-seek...

0 Chen Qu, et al. ∙

research

∙ 01/12/2018

AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience

We present AliMe Assist, an intelligent assistant designed for creating ...

0 Feng-Lin Li, et al. ∙

research

∙ 11/23/2017

Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce

In this paper, we study transfer learning for the PI and NLI problems, a...

0 Jianfei Yu, et al. ∙

research

∙ 11/03/2017

PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI)

We present PS-DBSCAN, a communication efficient parallel DBSCAN algorith...

0 Xu Hu, et al. ∙

Minghui Qiu

Featured Co-authors