152 citations · 299 across the 35 of their papers we have counts for
7 papers · 1 filter
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models
Shitao Xiao, Zheng Liu, Yingxia Shao +1
To better support information retrieval tasks such as web search and open-domain question answering, growing effort is made to develop retrieval-oriented language models, e.g., Ret…
A sentiment analysis model for car review texts based on adversarial training and whole word mask BERT
Xingchen Liu, Yawen Li, Yingxia Shao +2
In the field of car evaluation, more and more netizens choose to express their opinions on the Internet platform, and these comments will affect the decision-making of buyers and t…
Sentiment Analysis of Online Travel Reviews Based on Capsule Network and Sentiment Lexicon
Jia Wang, Junping Du, Yingxia Shao +1
With the development of online travel services, it has great application prospects to timely mine users' evaluation emotions for travel services and use them as indicators to guide…
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder
Shitao Xiao, Zheng Liu, Yingxia Shao +1
Despite pre-training's progress in many important NLP tasks, it remains to explore effective pre-training strategies for dense retrieval. In this paper, we propose RetroMAE, a new…
Scientific and Technological Text Knowledge Extraction Method of based on Word Mixing and GRU
Suyu Ouyang, Yingxia Shao, Junping Du +1
The knowledge extraction task is to extract triple relations (head entity-relation-tail entity) from unstructured text data. The existing knowledge extraction methods are divided i…
An Intellectual Property Entity Recognition Method Based on Transformer and Technological Word Information
Yuhui Wang, Junping Du, Yingxia Shao
Patent texts contain a large amount of entity information. Through named entity recognition, intellectual property entity information containing key information can be extracted fr…
Matching-oriented Product Quantization For Ad-hoc Retrieval
Shitao Xiao, Zheng Liu, Yingxia Shao +2
Product quantization (PQ) is a widely used technique for ad-hoc retrieval. Recent studies propose supervised PQ, where the embedding and quantization models can be jointly trained…