Results 41 to 50 of about 328,579 (213)
Collective Approaches to Named Entity Disambiguation [PDF]
, 2014 Internet content has become one of the most important resources of information. Much of this information is in the form of natural language text and one of the important components of natural language text is named entities.
Alhelbawy, Ayman
core +6 more sources
An automatically built named entity lexicon for Arabic [PDF]
, 2010 We have successfully adapted and extended the automatic Multilingual, Interoperable Named Entity Lexicon approach to Arabic, using Arabic WordNet (AWN) and Arabic Wikipedia (AWK).
Attia, Mohammed +4 more
core +2 more sources
Named entity extraction and disambiguation [PDF]
Proceedings of the sixth international workshop on Exploiting semantic annotations in information retrieval, 2013 Named entity extraction (NEE) and disambiguation (NED) are two areas of research that are well covered in literature. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. Although these topics are highly dependent, almost no existing works examine this dependency.
Mena Badieh Habib Morgan +1 more
openaire +2 more sources
OGER++: hybrid multi-type entity recognition
Journal of Cheminformatics, 2019 Background We present a text-mining tool for recognizing biomedical entities in scientific literature. OGER++ is a hybrid system for named entity recognition and concept recognition (linking), which combines a dictionary-based annotator with a corpus ...
Lenz Furrer +3 more
doaj +1 more source
Lost in Translation: Word Sense Disambiguation. [PDF]
, 2004 In natural languages, a word can take on different meanings in different contexts. Word sense disambiguation (WSD) refers to the task of determining the correct meaning or sense of a word in ...
Lian Tze, Lim, Tang, Enya Kong
core +1 more source
Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
The PRIMA Thesaurus for Materials Science and Engineering
Advanced Engineering Materials, EarlyView.The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa +8 more
wiley +1 more source
Discovering and disambiguating named entities in text [PDF]
Proceedings of the 2013 SIGMOD/PODS Ph.D. symposium, 2013 Disambiguating named entities in natural language texts maps ambiguous names to canonical entities registered in a knowledge base such as DBpedia, Freebase, or YAGO. Knowing the specific entity is an important asset for several other tasks, e.g. entity-based information retrieval or higher-level information extraction.
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
Advanced Intelligent Discovery, EarlyView.An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin +4 more
wiley +1 more source