Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

WS 2019 • ncbi-nlp/NCBI_BERT •

DOCUMENT CLASSIFICATION DRUG–DRUG INTERACTION EXTRACTION MEDICAL NAMED ENTITY RECOGNITION MEDICAL RELATION EXTRACTION NATURAL LANGUAGE INFERENCE RELATION EXTRACTION SEMANTIC SIMILARITY TRANSFER LEARNING

CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters

20 Oct 2020 • helboukkouri/character-bert •

Due to the compelling improvements brought by BERT, many recent representation models adopted the Transformer architecture as their main building block, consequently inheriting the wordpiece tokenization system despite it not being intrinsically linked to the notion of Transformers.

CLINICAL CONCEPT EXTRACTION DRUG–DRUG INTERACTION EXTRACTION NATURAL LANGUAGE INFERENCE RELATION EXTRACTION SEMANTIC SIMILARITY TOKENIZATION

Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network

28 Jan 2017 • sunilitggu/DDI-extraction-through-LSTM •

The two models, {\it AB-LSTM} and {\it Joint AB-LSTM} also use attentive pooling in the output of Bi-LSTM layer to assign weights to features.

DRUG–DRUG INTERACTION EXTRACTION FEATURE ENGINEERING MEDICAL RELATION EXTRACTION

ELECTRAMed: a new pre-trained language representation model for biomedical NLP

19 Apr 2021 • gmpoli/electramed •

The overwhelming amount of biomedical scientific texts calls for the development of effective language models able to tackle a wide range of biomedical natural language processing (NLP) tasks.

DRUG–DRUG INTERACTION EXTRACTION LANGUAGE MODELLING MEDICAL NAMED ENTITY RECOGNITION QUESTION ANSWERING RELATION EXTRACTION

EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information

25 Jan 2021 • Layne-Huang/EGFI •

To address such a problem, we propose EGFI for extracting and consolidating drug interactions from large-scale medical literature text data.

CLASSIFICATION DRUG–DRUG INTERACTION EXTRACTION LANGUAGE MODELLING

Using Drug Descriptions and Molecular Structures for Drug-Drug Interaction Extraction from Literature

24 Oct 2020 • tticoin/DESC_MOL-DDIE •

Specifically, we focus on drug description and molecular structure information as the drug database information.

DRUG–DRUG INTERACTION EXTRACTION