Academic Articles & Research Papers

Natural language processing

Article Free Access Share on Natural language processing: what's really involved? Authors: Roger Schank Yale University, New Haven, CT Yale University, New Haven, CTView Profile , Alex Kass Yale University, New Haven, CT Yale University, Ne...

MedScan, a natural language processing engine for MEDLINE abstracts

MOTIVATION: The importance of extracting biomedical information from scientific publications is well recognized. A number of information extraction systems for the biomedical domain have been reported, but none of them have become widely us...

Few-shot learning for automated content analysis: Efficient coding of arguments and claims in the debate on arms deliveries to Ukraine

Pre-trained language models (PLM) based on transformer neural networks developed in the field of natural language processing (NLP) offer great opportunities to improve automatic content analysis in communication science, especially for the ...

On the Explainability of Natural Language Processing Deep Models

Despite their success, deep networks are used as black-box models with outputs that are not easily explainable during the learning and the prediction phases. This lack of interpretability is significantly limiting the adoption of such model...

Bridging herb and needle: shared hepatoprotective mechanisms of saikosaponins and acupuncture and the rationale for combined therapy.

Evaluating natural language processing systems

article Free Access Share on Evaluating natural language processing systems Author: Margaret King Univ. of Geneva, Geneva, Switzerland Univ. of Geneva, Geneva, SwitzerlandView Profile Authors Info & Claims Communications of the ACMVolume 39...

Etat des lieux des aptitudes intellectuelles des étudiants à l’entrée à l’université

Résumé : Le présent article porte sur une étude menée sur deux groupes d’étudiants à leur entrée à l’Université Pédagogique Nationale de Kinshasa. Face aux préjugés de tout genre consistant à douter du niveau de ceux qui fréquentent actuell...

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

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...

Natural Language Processing Applications in Business

Increasing dependency of humans on computer-assisted systems has led to researchers focusing on more effective communication technologies that can mimic human interactions as well as understand natural languages and human emotions. The prob...

Natural Language Processing

Natural language processing is widely discussed and researched topic nowadays.As it is one of the oldest areas of research in machine leaning it is used in major fields such as machine translation speech recognition and text processing.Natu...

Empowering text classification with NLP and explainable AI for enhanced interpretability

Abstract Artificial intelligence (AI) models have demonstrated significant success in classifying various types of text. However, the complex nature of these models often complicates the interpretability of their classifications. To address...

Anaphore possessive et anaphore associative : le cas des noms collectifs

This paper is devoted to some anaphoric operations which are specific to the collection-member relation (e.g., regiment/soldiers, caravan/camels, forest/trees). This relation can be extremely flexible from the anaphoric standpoint, compared...

Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review

BackgroundGiven the rapid development of social media, effective extraction and analysis of the contents of social media for health care have attracted widespread attention from health care providers. As far as we know, most of the reviews ...

Analyse bibliométrique des mémoires défendus au Département des Sciences et Techniques Documentaires (2014 à 2018)

Résumé : Analyser les travaux scientifiques est une tache aussi ardue que difficile qui demande beaucoup de munitie. Cet article fait une analyse bibliométrique des mémoires de licence (Bac+5) défendus au sein du Département des Sciences et...

Several Sociolinguistic Particularities of French-English Bi-Lingualism in Canada

Introduction. The relevance of the study is explained by the necessity to preserve Frenchspeaking culture and language on the territory of Canada in the conditions of globalization, the spread of American mass culture and the significant im...

Natural language processing

article Free Access Share on Natural language processing Author: Yorick Wilks View Profile Authors Info & Claims Communications of the ACMVolume 39Issue 1Jan. 1996pp 60–62https://doi.org/10.1145/234173.234180Published:01 January 1996Publica...

Natural language processing

This chapter introduces key natural language processing concepts and terminology. The ultimate objective of natural language processing is to allow people to communicate with computers in much the same way they communicate with each other. ...

Adversarial Attacks on Deep-learning Models in Natural Language Processing

With the development of high computational devices, deep neural networks (DNNs), in recent years, have gained significant popularity in many Artificial Intelligence (AI) applications. However, previous efforts have shown that DNNs are vulne...

Integrating NLP to Enhance Algorithmic Identification of Metastatic and Castration‐Resistant Prostate Cancer in Large Claims‐Based Studies

ABSTRACT Purpose Accurate classification of prostate cancer (PC) disease states defined by the presence or absence of metastasis and castration resistance (CRPC) is critical but challenging in population‐based research. As chart review is n...

Explainable Sentiment-Based Reputational Risk Modelling in Ugandan Megaprojects

Reputational risk reflected in digital public discourse can significantly influence stakeholder perceptions, public trust, and decision-making surrounding government megaprojects. Existing computational approaches primarily focus on sentime...