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Paper Citation Record · LEDGER

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP

As of 11 August 2026, this Paper Citation Record lists 100 of 103 outbound references and 0 inbound Pith citation observations for arXiv:2606.03250.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.03250 v1

Coverage vector

measured 100 of 103 reference resolution

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measured 100 of 100 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

100 of 103 outbound references displayed

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Outbound references

Observation 1cf3954d-a630-43de-a20f-529cb075461b · outbound

This paper cites Clinical information extraction applications: a literature review.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Clinical information extraction applications: a literature review

Reference 1

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Observation 82f3d5d7-9085-48ae-9ead-cd36b498ce72 · outbound

This paper cites The Stockholm EPR Corpus-characteristics and some initial findings.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP The Stockholm EPR Corpus-characteristics and some initial findings

Reference 2

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Observation f6380af7-aa22-46b3-bf6d-cca2b3b23fa7 · outbound

This paper cites Natural language process- ing and the representation of clinical data.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Natural language process- ing and the representation of clinical data

Reference 3

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Observation ac52aa37-7dcc-4d36-ae4e-60d42a65bba2 · outbound

This paper cites TEXTINFO: a tool for automatic determination of patient clinical profiles using text analysis.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP TEXTINFO: a tool for automatic determination of patient clinical profiles using text analysis

Reference 4

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Observation 5bce7f58-f31b-48d4-b93e-9a0ef4ef6d90 · outbound

This paper cites Architectural requirements for a multipurpose natural language processor in the clinical environment.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Architectural requirements for a multipurpose natural language processor in the clinical environment

Reference 5

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Observation 9355bb3a-69a0-4bf7-95b0-16505ac0df1b · outbound

This paper cites Natural language processing for smart healthcare.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Natural language processing for smart healthcare

Reference 6

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Observation 95878250-e3ab-4767-8fca-56fab2247403 · outbound

This paper cites Attention is all you need.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Attention is all you need

Reference 7

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Observation 1a060ca8-b7f1-41da-bf7b-345521a217a2 · outbound

This paper cites BERT: Pre-training of Deep Bidi- rectional Transformers for Language Understanding.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP BERT: Pre-training of Deep Bidi- rectional Transformers for Language Understanding

Reference 8

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Observation 6e2a11da-029e-409f-9124-88f6bc66a4eb · outbound

This paper cites Roberta: A robustly optimized bert pretraining approach.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Roberta: A robustly optimized bert pretraining approach

Reference 9

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Observation e0f18901-58fe-41b1-a77e-6ef882f02052 · outbound

This paper cites When BERT Started Traveling: TourBERT—A Natural Language Processing Model for the Travel Industry.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP When BERT Started Traveling: TourBERT—A Natural Language Processing Model for the Travel Industry

Reference 10

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Observation b336d1b9-3ce5-4089-a2fd-a5a282996525 · outbound

This paper cites Challenges and opportunities beyond structured data in analysis of electronic health records.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Challenges and opportunities beyond structured data in analysis of electronic health records

Reference 11

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Observation 0d79fb45-35cf-410e-9142-cfa1756b9249 · outbound

This paper cites SciBERT: A Pretrained Language Model for Scientific Text.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP SciBERT: A Pretrained Language Model for Scientific Text

Reference 12

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Observation ae9092bc-fbc9-4521-98d0-da4a4a1c4d57 · outbound

This paper cites Clinicalbert: Modeling clinical notes and predicting hospital readmission.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Clinicalbert: Modeling clinical notes and predicting hospital readmission

Reference 13

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Observation 1f35bc2e-ee46-4fc7-99f8-f176dcd88736 · outbound

This paper cites Transfer Learning in Biomedical Natural Language Pro- cessing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Transfer Learning in Biomedical Natural Language Pro- cessing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

Reference 14

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Observation 6cde970d-26a4-4268-8c77-535114b3e0a2 · outbound

This paper cites BioBERT: a pre- trained biomedical language representation model for biomedical text mining.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP BioBERT: a pre- trained biomedical language representation model for biomedical text mining

Reference 15

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Observation ef900f30-df32-4f1d-b57c-30c132ec8cae · outbound

This paper cites Critical assessment of transformer-based AI models for German clinical notes.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Critical assessment of transformer-based AI models for German clinical notes

Reference 16

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Observation 53f02abf-6dc3-4e39-adfc-5e35df2214af · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Unresolved cited work

Reference 17

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This paper cites GeistBERT: Breathing Life into German NLP.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP GeistBERT: Breathing Life into German NLP

Reference 18

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Observation 1092343f-fe3f-4141-adc8-361830d460f8 · outbound

This paper cites Understanding Back-Translation at Scale.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Understanding Back-Translation at Scale

Reference 19

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Observation d24573f0-34bf-4810-8552-734a1ffb7fb7 · outbound

This paper cites Facebook FAIR’s WMT19 News Translation Task Submission.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Facebook FAIR’s WMT19 News Translation Task Submission

Reference 20

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Observation 8b7477cd-69c1-4764-af2c-acb90a0646c8 · outbound

This paper cites No language left behind: Scaling human-centered machine translation.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP No language left behind: Scaling human-centered machine translation

Reference 21

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Observation 623acf3d-4109-431c-aed0-1b85bd4234ad · outbound

This paper cites An overview of MetaMap: historical perspective and recent advances.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP An overview of MetaMap: historical perspective and recent advances

Reference 22

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Observation 3c7dd163-2579-4ae2-a5e8-47bb346c3ec8 · outbound

This paper cites Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications

Reference 23

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Observation 0bc5243b-7a50-4f4c-ae1a-6158c3540dba · outbound

This paper cites A broad-coverage natural language processing system.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP A broad-coverage natural language processing system

Reference 24

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Observation 0fac5b28-632b-4672-81a7-8bf4c9ce5f50 · outbound

This paper cites CLAMP–a toolkit for efficiently building customized clinical natural language processing pipelines.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP CLAMP–a toolkit for efficiently building customized clinical natural language processing pipelines

Reference 25

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Observation 1464753e-5f14-4ab7-9b5d-6a3cb9dd56a9 · outbound

This paper cites 2010 i2b2/VA challenge on con- cepts, assertions, and relations in clinical text.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP 2010 i2b2/VA challenge on con- cepts, assertions, and relations in clinical text

Reference 26

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Observation 96161e8e-c642-4fa8-8447-d6e530a1b2a0 · outbound

This paper cites 2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP 2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records

Reference 27

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Cohort selection for clinical trials: n2c2 2018 shared task track 1

Reference 28

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Unresolved cited work

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Distributed Representa- tions of Words and Phrases and their Compositionality

Reference 30

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Dissecting Contextual Word Embeddings: Architecture and Representation

Reference 31

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Bag of Tricks for Efficient Text Classification

Reference 32

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP CamemBERT: a Tasty French Language Model

Reference 33

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Unsupervised Cross-lingual Representation Learning at Scale

Reference 34

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Got- tBERT: a pure German Language Model

Reference 35

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP German’s Next Language Model

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Asynchronous pipeline for processing huge corpora on medium to low resource infrastructures

Reference 37

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP BERTje: A Dutch BERT model

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP PubMed 2.0

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Accessed on 2025-01-

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Unresolved cited work

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Observation 5b61cd23-e010-4b24-8380-912521eec6ec · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Med-BERT: A pretraining framework for medical records named entity recognition

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This paper cites MIMIC-IV, a freely accessible electronic health record dataset.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP MIMIC-IV, a freely accessible electronic health record dataset

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Observation 00d2a01d-1132-45a9-942b-e98baca46b88 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP PhysioNet

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Observation f1fbda61-80f4-4e2f-bbc1-9955aa37b3c1 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Named entity recognition in Spanish biomedical literature: Short review and BERT model

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Observation 887fbc51-a73c-4bdd-b55b-94563d8ec6e1 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP BioBERTpt: a Portuguese neural language model for 35 clinical named entity recognition

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Contextual- ized French language models for biomedical named entity recognition

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Observation b4e04ebc-c51f-48f6-ba62-c36370da3bbf · outbound

This paper cites How to improve infor- mation extraction from German medical records.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP How to improve infor- mation extraction from German medical records

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Observation 61ffea7e-c5b6-43f5-a79f-65e7538b3bc6 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Sharing models and tools for pro- cessing German clinical texts

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Observation f02f5903-5217-45e7-b84e-d0a133e8dd0e · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Sharing Copies of Synthetic Clinical Corpora without Physical Distribution — A Case Study to Get Around IPRs and Pri- vacy Constraints Featuring the German JSYNCC Corpus

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Observation 0d9d2338-39a4-46ad-b80f-e21e678afd30 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP GGPONC 2.0-the German clinical guideline corpus for oncology: Curation work- flow, annotation policy, baseline NER taggers

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Observation 10a664d8-1b34-470a-95d2-77d34ae4eb9a · outbound

This paper cites Annotation and initial evaluation of a large annotated German oncological corpus.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Annotation and initial evaluation of a large annotated German oncological corpus

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Observation e2708a83-1567-4031-86d6-71eb348b1bf8 · outbound

This paper cites Annotated dataset creation through large language models for non-english medical NLP.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Annotated dataset creation through large language models for non-english medical NLP

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Open Agrar Repository

Reference 54

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Open Agrar Repository

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Observation c79e02ef-3008-4e34-aafb-dc34e1224eee · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP The ICD-10 classification of mental and behavioural dis- orders: clinical descriptions and diagnostic guidelines

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Observation c032a98b-237a-483b-ab66-685a167441c6 · outbound

This paper cites Classifying German Animal Experiment Summaries with Multi-lingual BERT at CLEF eHealth 2019 Task 1.; 2019.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Classifying German Animal Experiment Summaries with Multi-lingual BERT at CLEF eHealth 2019 Task 1.; 2019

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Observation a412d6ae-ab39-4359-80d6-9463e8401cd4 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP On the Impact of Cross-Domain Data on German Language Models

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Observation 84a83a38-be52-4bb9-b0ef-39483d265609 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Peer review: a flawed process at the heart of science and journals

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Data structures for statistical computing in python

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Accessed on 2024-11-10

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Observation 29978b3f-d95e-43fa-9b73-e774b15c4008 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Pubmed Parser: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset XML Dataset

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Observation 9b0c4b3a-89ae-454a-90eb-6692324652f8 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Accessed on 2025-02-15

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Accessed on 2024-11-10

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Observation 66187bea-54c2-418c-8433-d2e040560acf · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Accessed on 2024-11-

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Analysis and design of selenium webdriver automation testing framework

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Observation f89faa2a-8424-4b6a-af2c-8b6490b7ba2a · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Original-date: 2012-05-20T18:45:54Z

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Observation 838e9481-b3f3-461b-80ba-be9c511b6956 · outbound

This paper cites PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals

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Observation fed27f36-121f-4bbf-9585-fd8b0470f717 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP The llama 3 herd of models

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Observation a2a92c67-968b-4339-b54d-e8a950a3daaa · outbound

This paper cites Building a Scalable Health Information Crawler: Leveraging Apache Nutch for the tala-med Search Engine.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Building a Scalable Health Information Crawler: Leveraging Apache Nutch for the tala-med Search Engine

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Observation 1a8849e7-ffb2-4cd4-b198-26424dc8a737 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Nutch: A flexible and scalable open- source web search engine

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Observation 78dce19a-8b39-4dde-9f8f-ab461f8a46b5 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Unresolved cited work

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Observation 40ca3adb-ab9c-4543-a384-599ec1fada06 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Crawling the german health web: Exploratory study and graph analysis

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Observation c7a9478a-3e18-45e9-b427-00448bad6395 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Accessed on 2025-02-05

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This paper cites One million posts: A data set of german online discussions.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP One million posts: A data set of german online discussions

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Observation 2ced92e2-c0f3-4eb7-ad55-dad48a7b2574 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Accessed on 2025-02-05

Reference 77

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Observation 3091aabe-8498-4198-810f-a5f979bea6f7 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Accessed on 2025-02-05

Reference 78

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Observation 01bc23f4-d49a-46e9-8a09-5ff5c78e4d4b · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Accessed on 2025-07-31

Reference 79

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Observation 2844bae5-2dcc-4a0a-9bbd-cb4c12ae55a0 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Accessed on 2025-07-

Reference 80

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Observation 7521e331-2b01-4705-8289-64aebc192c21 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Unresolved cited work

Reference 81

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Observation cba0c837-0362-4c34-acdd-2d41570fc626 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP fairseq: A Fast, Exten- sible Toolkit for Sequence Modeling

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Observation 1fc7ff07-576d-4046-8ff9-70b797cf375c · outbound

This paper cites A neural probabilistic language model.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP A neural probabilistic language model

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Observation 11d2fd32-a0c9-45c8-91dd-054987fe4888 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Unresolved cited work

Reference 84

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Observation b7daacad-e47c-405f-918a-0c1b9b277a06 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Accessed on 2025-04-28

Reference 85

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Observation e64867cf-3286-4e30-9bcd-2fd317f79d9c · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Introduction to the CoNLL-2003 shared task: language-independent named entity recognition

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Observation 0879d032-395d-4d1b-8acb-3a2f8f5bad19 · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Why only Micro-F1? Class Weighting of Measures for Relation Classification

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP BigBIO: A framework for data-centric biomedical natural language processing

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Observation 1fcb5874-1045-4f0e-b115-5d35a89915eb · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Datasets: A Community Library for Natural Language Processing

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Observation c15ceb1b-488d-457a-9a8a-e10a5069349f · outbound

This paper cites Cul- turax: A cleaned, enormous, and multilingual dataset for large language models in 167 languages.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Cul- turax: A cleaned, enormous, and multilingual dataset for large language models in 167 languages

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Observation 03de7ecc-2b1b-419d-890c-e8219e38e3cc · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Parallel Data, Tools and Interfaces in OPUS

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Observation 8a2048d1-1674-4f3c-b925-a9cd88260af2 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Dis- entangled Attention.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP DeBERTa: Decoding-enhanced BERT with Dis- entangled Attention

Reference 92

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Observation e5e688e9-8f42-497e-bff7-2565a5cbb148 · outbound

This paper cites Trans- formers: State-of-the-art natural language processing.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Trans- formers: State-of-the-art natural language processing

Reference 93

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Observation 9244da3b-bafd-4a10-81b9-b1513aed4a98 · outbound

This paper cites Accessed on 2025-05-01.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Accessed on 2025-05-01

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Observation 881fdc64-dba5-41b7-9b2a-01e49c34e74d · outbound

This paper cites Software available from https://github.com/chakki-works/seqeval.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Software available from https://github.com/chakki-works/seqeval

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Observation 8ffecdad-6fee-440c-9acb-ae2f9d26746d · outbound

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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Scikit-learn: Machine learning in Python

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Observation c3e4ad89-9e65-4579-84ac-16b33f2977ee · outbound

This paper cites Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks

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Observation 9dc1bf7f-04f4-4042-ba63-933f29132148 · outbound

This paper cites Re-train or Train from Scratch? Comparing Pre-training Strategies of BERT in the Medical Domain.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Re-train or Train from Scratch? Comparing Pre-training Strategies of BERT in the Medical Domain

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Observation 5646b65a-e749-490e-ac3b-347739beff9d · outbound

This paper cites Smarter, better, faster, longer: A modern bidirectional encoder for fast, memory efficient, and long context finetuning and inference.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Smarter, better, faster, longer: A modern bidirectional encoder for fast, memory efficient, and long context finetuning and inference

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Observation f9ad89f5-415f-40d2-9531-80df5855953d · outbound

This paper cites Longformer: The long-document transformer.

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP Longformer: The long-document transformer

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