Results 41 to 50 of about 39,453 (246)

Natural Language Processing and Complex Network based Tourism Social Big Data Analysis [PDF]

SHS Web of Conferences
Unlike traditional research methods such as questionnaire surveys and individual interviews, this article proposes a big data based analytical framework for tourism research.
Yin Lijie
doaj   +1 more source

Generative Models for Crystalline Materials

Advanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

A Spanish Language Proficiency Dataset for AI Evaluation

Information
Benchmarking Spanish reading comprehension remains challenging due to the scarcity of proficiency-calibrated resources grounded in authentic human assessments. We introduce IC-UNED-RC-ES, a benchmark comprising more than 6000 items derived from Instituto
Anselmo Peñas, Álvaro Rodrigo, Javier Fruns-Jiménez, Inés Soria-Pastor, Sergio Moreno-Álvarez, Alberto Pérez, Julio Reyes-Montesinos   +6 more
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

BOOSTING ESL, SPEAKING AND VOCABULARY SKILLS WITH NLP: PRACTICAL TOOLS FOR THE MODERN CLASSROOM [PDF]

Езиков свят
Every learner encounters difficulties expressing their thoughts clearly, particularly those acquiring English as a second language. This study investigates the effect of Natural Language Processing (NLP) anchoring techniques on specific speaking sub ...
Doliana CELAJ, Greta JANI
doaj   +1 more source

NLP-ADBench: NLP Anomaly Detection Benchmark

Findings of the Association for Computational Linguistics: EMNLP 2025
Anomaly detection (AD) is an important machine learning task with applications in fraud detection, content moderation, and user behavior analysis. However, AD is relatively understudied in a natural language processing (NLP) context, limiting its effectiveness in detecting harmful content, phishing attempts, and spam reviews.
Li, Yuangang, Li, Jiaqi, Xiao, Zhuo, Yang, Tiankai, Nian, Yi, Hu, Xiyang, Zhao, Yue   +6 more
openaire   +2 more sources

TectoMT: Modular NLP Framework [PDF]

, 2010
In the present paper we describe TectoMT, a multi-purpose open-source NLP framework. It allows for fast and efficient development of NLP applications by exploiting a wide range of software modules already integrated in TectoMT, such as tools for sentence segmentation, tokenization, morphological analysis, POS tagging, shallow and deep syntax parsing ...
Popel M., Zabokrtsky Z.
openaire   +2 more sources

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source

Automatic Identification of Narratives: Evaluation Framework, Annotation Methodology, and Dataset Creation

IEEE Access
One of the fundamental components of understanding online discourse in social networks is the identification of narratives. For example, the analysis of disinformation campaigns requires some inference about their communication goals that, in turn ...
Jesus M. Fraile-Hernandez, Anselmo Penas, Pablo Moral   +2 more
doaj   +1 more source