Academic Articles & Research Papers

Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing

BackgroundOpioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of O...

Unbestimmte Subjekte: zur problematischen Äquivalenz von deutschem man und italienischem si

German sentences with man and Italian sentences with si impersonale or si passivante are often presented as equivalent in contrastive grammars. However, this functional equation proves to be problematic when Italian students refer with man ...

A bibliometric analysis of natural language processing in medical research

BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great sig...

Clinical accuracy and applications of intraoral scanners in periodontal assessment: A systematic review and meta-analysis.

A Riemannian Framework for Chemical Reaction Dynamics: Geodesics, Curvature, and Transition-State Stability.

Deutsche und polnische Phraseologie und Parömiologie im Kontakt und Kontrast

Das vorliegende Themenheft versammelt Beiträge, in denen der aktuelle Forschungsstand im Bereich der deutsch-polnischen und polnisch-deutschen Phraseologie und Parömiologie präsentiert wird. Die Idee zu diesem Themenheft ergab sich aus dem ...

Quantifying Gender Bias in Large Language Models Using Information-Theoretic and Statistical Analysis

Large language models (LLMs) have revolutionized natural language processing across diverse domains, yet they also raise critical fairness and ethical concerns, particularly regarding gender bias. In this study, we conduct a systematic, mat...

Sexy Danes, Tipsy Germans: The Use of Positive Cultural Stereotypes in Nation Branding Efforts

While nation-branding campaigns have become a popular means for governments to attempt to improve their country’s standing on international indexes, such as the Anholt-Gfk Roper Nation Brand Index (NBI), the generally static ranking on such...

Unlocking Clinical Data from Narrative Reports: A Study of Natural Language Processing

OBJECTIVE: To evaluate the automated detection of clinical conditions described in narrative reports. DESIGN: Automated methods and human experts detected the presence or absence of six clinical conditions in 200 admission chest radiograph ...

A Simple Introduction to Maximum Entropy Models for Natural Language Processing

Many problems in natural language processing can be viewed as linguistic classification problems, in which linguistic contexts are used to predict linguistic classes. Maximum entropy models offer a clean way to combine diverse pieces of con...

Including Signed Languages in Natural Language Processing

Kayo Yin, Amit Moryossef, Julie Hochgesang, Yoav Goldberg, Malihe Alikhani. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (...

Natural Language Processing Technologies in Radiology Research and Clinical Applications

The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. How...

Aligning machines with human values: opacity and ethical sustainability of AI

Abstract The increasingly rapid development of deep learning algorithms is radically transforming society. The potential of neural models is paving the way for the automation of areas previously unrelated to AI, from medical diagnostics to ...

Visually Grounded Speech Models Have a Mutual Exclusivity Bias

Neither Telling nor Describing. Reflective Passages and Perceived Reflectiveness 1700–1945

The paper analyses within-fiction reflections in 250 years of literary history. To this end, we formalised the concept of “reflective passage”, demonstrate how our annotation categories are deduced from literary theory and derive three subp...

AI-generated draft replies to patient messages: exploring effects of implementation

IntroductionThe integration of Large Language Models (LLMs) in Electronic Health Records (EHRs) has the potential to reduce administrative burden. Validating these tools in real-world clinical settings is essential for responsible implement...

Natural language processing

TweetNLP: Cutting-Edge Natural Language Processing for Social Media

Jose Camacho-collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio, Daniel Loureiro, Dimosthenis Antypas, Joanne Boisson, Luis Espinosa Anke, Fangyu Liu, Eugenio Martínez Cámara. Proceedings of the 2022 Conference on Empirical Methods in Nat...

Quantum Algorithms for Compositional Natural Language Processing

We propose a new application of quantum computing to the field of natural language processing. Ongoing work in this field attempts to incorporate grammatical structure into algorithms that compute meaning. In (Coecke, Sadrzadeh and Clark, 2...

A comparative study of the state-of-the-art artificial intelligence models for automated plaque measurement in a carotid ultrasound Japanese cohort.