SEBERTNets: Sequence Enhanced BERT Networks for Event Entity Extraction Tasks Oriented to the Finance Field

1 code implementation • 21 Jan 2024 • Congqing He, Xiangyu Zhu, Yuquan Le, Yuzhong Liu, Jianhong Yin

In addition, motivated by recommendation system, we propose Hybrid Sequence Enhanced BERT Networks (HSEBERTNets for short), which uses a multi-channel recall method to recall all the corresponding event entity.

Asset Management Event Extraction

Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis

no code implementations • 22 Mar 2022 • Zexun Wang, Yuquan Le, Yi Zhu, Yuming Zhao, Mingchao Feng, Meng Chen, Xiaodong He

Building Spoken Language Understanding (SLU) robust to Automatic Speech Recognition (ASR) errors is an essential issue for various voice-enabled virtual assistants.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

BCTH: A Novel Text Hashing Approach via Bayesian Clustering

1 code implementation • Asian Chapter of the Association for Computational Linguistics 2020 • Ying Wenjie, Yuquan Le, Hantao Xiong

Specifically, BCTH is able to map documents to binary codes by utilizing multiple Bayesian Clusterings in parallel, where each Bayesian Clustering is responsible for one bit.

Clustering Information Retrieval +1

SECaps: A Sequence Enhanced Capsule Model for Charge Prediction

no code implementations • 10 Oct 2018 • Congqing He, Li Peng, Yuquan Le, JiaWei He, Xiangyu Zhu

In this paper, we propose a Sequence Enhanced Capsule model, dubbed as SECaps model, to relieve this problem.