Attention neural network for biomedical word sense disambiguation

CX Zhang, SY Pang, XY Gao, JQ Lu… - Discrete Dynamics in …, 2022 - Wiley Online Library
In order to improve the disambiguation accuracy of biomedical words, this paper proposes a
disambiguation method based on the attention neural network. The biomedical word is …

[Retracted] Construction of Machine Learning Model Based on Text Mining and Ranking of Meituan Merchants

Y Tang, D Liao, S Huang, Q Fan… - Scientific Programming, 2021 - Wiley Online Library
In the Web 2.0 era, the problem of uneven quality and overload of online reviews is very
serious, and the cognitive cost of obtaining valuable content from them is getting higher and …

A Learning‐Based Approach for Biomedical Word Sense Disambiguation

H Al-Mubaid, S Gungu - The Scientific World Journal, 2012 - Wiley Online Library
In the biomedical domain, word sense ambiguity is a widely spread problem with
bioinformatics research effort devoted to it being not commensurate and allowing for more …

一种融合ACNN 和Bi-LSTM 半监督缩略语消歧方法.

张春祥, 逄淑阳, 高雪瑶 - … of Harbin University of Science & …, 2022 - search.ebscohost.com
为了提高k 物lmnop 的qr67 率, 提i 了?# 融合ACNN 和Bi LSTM set nopqr 方法.'nop 为uv,
提wxy 4 z {|}~ 单! 的} 信息,} 性信息和p 信息为qr 特征. 用Xgboost 算法和LightGBM 算法\p …

Unsupervised word sense disambiguation in biomedical texts with co-occurrence network and graph kernel

TG Noh, SB Park, SJ Lee - Proceedings of the ACM fourth international …, 2010 - dl.acm.org
This paper proposes an unsupervised word sense disambiguation method for the
biomedical domain. In this paper, a network representation of co-occurrence data is first …

[PDF][PDF] A Learning Approach for Word Sense Disambiguation in the Biomedical Domain.

H Al-Mubaid, S Gungu - BICoB, 2011 - Citeseer
Word sense disambiguation, WSD, task has been investigated extensively within the natural
language processing domain. In the biomedical domain, word sense ambiguity is more …