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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...
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06/12/2023
Valley: Video Assistant with Large Language model Enhanced abilitY
Recently, several multi-modal models have been developed for joint image...
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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 ...
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05/11/2022
Towards Unified Prompt Tuning for Few-shot Text Classification
Prompt-based fine-tuning has boosted the performance of Pre-trained Lang...
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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...
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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...
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04/19/2022
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
Knowledge graph (KG) plays an increasingly important role in recommender...
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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 ...
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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 ...
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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...
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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...
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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...
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06/09/2021
Global Context Enhanced Graph Neural Networks for Session-based Recommendation
Session-based recommendation (SBR) is a challenging task, which aims at ...
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03/30/2021
Kaleido-BERT: Vision-Language Pre-training on Fashion Domain
We present a new vision-language (VL) pre-training model dubbed Kaleido-...
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01/20/2021
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation
Despite pre-trained language models such as BERT have achieved appealing...
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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 ...
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11/25/2020
Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations
Intelligent personal assistant systems for information-seeking conversat...
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11/20/2020
Exploring Global Information for Session-based Recommendation
Session-based recommendation (SBR) is a challenging task, which aims at ...
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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...
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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 ...
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09/04/2020
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning
Transfer learning is widely used for transferring knowledge from a sourc...
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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...
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05/22/2020
Open-Retrieval Conversational Question Answering
Conversational search is one of the ultimate goals of information retrie...
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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...
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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...
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03/29/2020
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining
Pre-trained neural language models bring significant improvement for var...
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02/25/2020
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification
Lexical relations describe how concepts are semantically related, in the...
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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...
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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...
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08/26/2019
Attentive History Selection for Conversational Question Answering
Conversational question answering (ConvQA) is a simplified but concrete ...
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05/14/2019
BERT with History Answer Embedding for Conversational Question Answering
Conversational search is an emerging topic in the information retrieval ...
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04/19/2019
A Hybrid Retrieval-Generation Neural Conversation Model
Intelligent personal assistant systems, with either text-based or voice-...
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02/07/2019
Artificial Intelligence for Prosthetics - challenge solutions
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...
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01/11/2019
User Intent Prediction in Information-seeking Conversations
Conversational assistants are being progressively adopted by the general...
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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...
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08/29/2018
Review Helpfulness Prediction with Embedding-Gated CNN
Product reviews, in the form of texts dominantly, significantly help con...
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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...
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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...
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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...
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04/23/2018
Analyzing and Characterizing User Intent in Information-seeking Conversations
Understanding and characterizing how people interact in information-seek...
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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 ...
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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...
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11/03/2017
