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medical NLP

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DataFunTalk
DataFunTalk
Jan 30, 2023 · Artificial Intelligence

Domain Knowledge Enhanced Pretrained Language Model for Medicinal Product Vertical Search

This article presents a domain‑knowledge‑enhanced pretrained language model that combines ELECTRA‑based token‑level masking with a novel product‑attribute prediction (PAP) task to improve query understanding, intent classification, and relevance matching in vertical drug e‑commerce search, and validates its effectiveness through extensive experiments on public and proprietary datasets.

ELECTRAdomain knowledgemedical NLP
0 likes · 13 min read
Domain Knowledge Enhanced Pretrained Language Model for Medicinal Product Vertical Search
DataFunTalk
DataFunTalk
Jun 20, 2022 · Artificial Intelligence

SMedBERT: Knowledge‑Enhanced Pre‑trained Language Model for Medical Text Mining and Its Business Applications

The article introduces Dingxiangyuan's medical knowledge‑graph ecosystem, describes the construction of a four‑layer taxonomy, presents the ACL‑published SMedBERT model that injects structured medical semantics into a pre‑trained language model, and discusses its deployment in search, query expansion, and semantic matching while outlining future challenges.

Healthcare AISMedBERTknowledge graph
0 likes · 13 min read
SMedBERT: Knowledge‑Enhanced Pre‑trained Language Model for Medical Text Mining and Its Business Applications
DataFunTalk
DataFunTalk
Sep 6, 2021 · Artificial Intelligence

Medical NLP at Alibaba: Data, Algorithms, and Knowledge for Smart Healthcare

This article reviews Alibaba Cloud senior algorithm expert Chen Mosha's presentation on medical NLP, covering Alibaba's healthcare business, data types, electronic medical record quality inspection, span‑based and nested NER models, term normalization, clinical trial outcome prediction, knowledge‑enhanced language models, and the CBLUE benchmark dataset.

Alibaba CloudClinical Trial PredictionHealthcare AI
0 likes · 22 min read
Medical NLP at Alibaba: Data, Algorithms, and Knowledge for Smart Healthcare
DataFunTalk
DataFunTalk
Mar 14, 2021 · Artificial Intelligence

A Review of Medical Domain Sentiment Analysis: Interpretability, Contextual Aspect‑Sentiment Relations, Noisy Labels, and Domain Lexicon Construction

This article reviews recent research on medical sentiment analysis, covering interpretability of neural models, contextual aspect‑sentiment interactions, strategies for handling noisy labels, and methods for building domain‑specific sentiment lexicons, highlighting challenges and proposed solutions.

Interpretabilityaspect‑based sentimentdeep learning
0 likes · 19 min read
A Review of Medical Domain Sentiment Analysis: Interpretability, Contextual Aspect‑Sentiment Relations, Noisy Labels, and Domain Lexicon Construction