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Revenue-sensitive evaluation of AI-assisted ICD-10-CM coding and human-AI collaboration under dual DRG payment systems

Ming-I. Chen, Ying-Lin Hsu, Yi-Hsin Chen • Scientific Reports (2026)

Abstract Automated ICD-10-CM coding is critical for hospital reimbursement under Diagnosis-Related Group (DRG) payment systems, yet standard metrics weight all errors equally. This study evaluated 11 models on MIMIC-IV under heterogeneous c...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-57682-0

Gender biases in GPT-4 short biographies.

Anna-Maria De Cesare • Linguistik Online (2026)

As has been shown in various studies considering different languages, in professional contexts women tend to be referred to differently than men. While men are typically referred to by their surname (e. g., Fermi), women are more often refe...

DOAJ Open Access (DOAJ) DOI: 10.13092/tsh3js82

Diasporic Urdu Novel: Basics and Legacy

Kaynat Kaleem, Dr. Shagufta Firdous • بازیافت (2026)

''Diaspora literature'' is a term that came into use in Urdu some time ago but has been used in the world of literature for years. It is called “Adab-al-Mahjar” in Arabic and “Diaspora Literature/Immigrant Literature&rdquo...

DOAJ Open Access (DOAJ) DOI: 10.57156/bazyaft26488922114-129

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton et al. • Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo) (2020)

We introduce Sta n z a , an open-source Python natural language processing toolkit supporting 66 human languages.Compared to existing widely used toolkits, Sta n z a features a language-agnostic fully neural pipeline for text analysis, incl...

OPENALEX cc-by DOI: https://doi.org/10.18653/v1/2020.acl-demos.14

Natural Language Processing

Thomas C. Rindflesch • Annual Review of Applied Linguistics (1996)

Work in computational linguistics began very soon after the development of the first computers (Booth, Brandwood and Cleave 1958), yet in the intervening four decades there has been a pervasive feeling that progress in computer understandin...

OPENALEX DOI: https://doi.org/10.1017/s0267190500001446

A Survey on Gender Bias in Natural Language Processing

Karolina Stańczak, Isabelle Augenstein • arXiv (Cornell University) (2021)

Language can be used as a means of reproducing and enforcing harmful stereotypes and biases and has been analysed as such in numerous research. In this paper, we present a survey of 304 papers on gender bias in natural language processing. ...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.2112.14168

Explainable hybrid deep learning framework for air quality index prediction in Indian cities

Priyal Singhal, Praneet Saurabh, Mayank Sharma, Jyoti Badge et al. • Discover Artificial Intelligence (2026)

Abstract Air pollution constitutes one of the most pressing environmental and public health crises of the twenty-first century, disproportionately affecting rapidly urbanising nations such as India. Accurate prediction of the Air Quality In...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-02131-0

The Stanford CoreNLP Natural Language Processing Toolkit

Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel et al. • Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo) (2014)

Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, David McClosky. Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations. 2014....

OPENALEX cc-by DOI: https://doi.org/10.3115/v1/p14-5010

State of Art for Semantic Analysis of Natural Language Processing

Dastan Hussen Maulud, Subhi R. M. Zeebaree, Karwan Jacksi, Mohammed Mohammed Sadeeq et al. • Qubahan Academic Journal (2021)

Semantic analysis is an essential feature of the NLP approach. It indicates, in the appropriate format, the context of a sentence or paragraph. Semantics is about language significance study. The vocabulary used conveys the importance of th...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.48161/qaj.v1n2a40

Natural Language Processing

Oi Yee Kwong • Routledge eBooks (2023)

The primary concern of natural language processing is the design and implementation of computational systems for analysing and understanding human languages to automate certain real-life tasks demanding human language abilities. It is typic...

OPENALEX DOI: https://doi.org/10.4324/9781003168348-41

Weighted DAG Automata for Semantic Graphs

David Chiang, Frank Drewes, Daniel Gildea, Adam Lopez et al. • Computational Linguistics (2018)

Graphs have a variety of uses in natural language processing, particularly as representations of linguistic meaning. A deficit in this area of research is a formal framework for creating, combining, and using models involving graphs that pa...

DOAJ Open Access (DOAJ) DOI: 10.1162/COLI_a_00309

Challenges in Natural Language Processing

• Cambridge University Press eBooks (1993)

Although natural language processing has come far, the technology has not achieved a major impact on society. Is this because of some fundamental limitation that cannot be overcome? Or because there has not been enough time to refine and ap...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511659478