Results 61 to 70 of about 82,529 (316)
Twitter Sentiment Analysis Based on Daily Covid-19 Table in Turkey
Sakarya University Journal of Computer and Information Sciences, 2021 The coronavirus epidemic, which began to affect the whole world in early 2020, has become the most talked about agenda item by individuals. Individuals announce their feelings and thoughts through various communication channels and receive news from what
Buket Kaya, Abdullah Günay
doaj +1 more source
NLP Questions Answering Using DBpedia and YAGO [PDF]
Vietnam Journal of Computer Science, 2020 In this paper, we present results of employing DBpedia and YAGO as lexical databases for answering questions formulated in the natural language. The proposed solution has been evaluated for answering class 1 and class 2 questions (out of 5 classes ...
Tomasz Boiński +5 more
doaj +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
Jurnal Kedokteran Hewan, 2015 Pada penelitian ini dilakukan identifikasi virus avian influenza (AI) subtipe H5N1 pada unggas dan lingkungan pasar untuk mengetahui peran pasar sebagai sumber penularan virus.
Atik Ratnawati, NLP Indi Dharmayanti
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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
IEEE AccessMultiple-choice benchmarks are widely used to assess LLMs, yet their accuracy scores often conflate memorization—understood as pattern-based recall—with genuine reasoning, that is, inference beyond surface pattern transfer, especially when ...
Eva Sanchez Salido +2 more
doaj +1 more source
NLP-ADBench: NLP Anomaly Detection Benchmark
Findings of the Association for Computational Linguistics: EMNLP 2025Anomaly 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.
Yuangang Li 0002 +6 more
openaire +3 more sources
Rationalization for explainable NLP: a survey
Frontiers in Artificial Intelligence, 2023 Recent advances in deep learning have improved the performance of many Natural Language Processing (NLP) tasks such as translation, question-answering, and text classification. However, this improvement comes at the expense of model explainability. Black-box models make it difficult to understand the internals of a system and the process it takes to ...
Sai Gurrapu +5 more
openaire +4 more sources
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source