Results 111 to 120 of about 2,216,050 (301)

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

“Stolova noga” (Table’s leg) or about the category of animacy in recent Croatian linguistic handbooks

Rasprave Instituta za Hrvatski Jezik i Jezikoslovlje, 2017
This paper examines the category of animacy in Croatian and its connection with category of possessiveness within grammars and other linguistic manuals of standard Croatian language.
Marija Znika, Maja Znika
doaj  

SusTEInability of linguistic resources through feature structures [PDF]

, 2015
This article shows that the TEI tag set for feature structures can be adopted to represent a heterogeneous set of linguistic corpora. The majority of corpora is annotated using markup languages that are based on the Annotation Graph framework, the ...
Witt, Andreas, Stegmann, Jens, Lehmberg, Timm, Rehm, Georg, Hinrichs, Erhard   +4 more
core  

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

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, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source

The Linguistic Feature Relation Analysis of Premise and Hypothesis for Interpreting Nature Language Inference

Human-Centric Intelligent Systems
Natural language inference (NLI) is a fundamental task of natural language processing (NLP). Most recent NLI research has focused on explaining the model’s decisions in generating causal explanations (i.e., why did a premise/hypothesis pair as input lead
Xinyu Chen, Lin Li, Mengjing Zhang, Rui Zhang   +3 more
doaj   +1 more source

A set-theoretic approach to linguistic feature structures and unification algorithms (I) [PDF]

Computer Science Journal of Moldova, 2000
The paper proposes formal inductive definitions for linguistic feature structures (FSs) taking values within a class of value types or sorts: single, disjunctive, (ordered) lists, multisets (or bags), po-multisets (multisets embedded into a partially ...
N. Curteanu, P.-G. Holban
doaj  

Accessing Language Specific Linguistic Information for Triphone Model

, 2005
This paper is concerned with a novel methodology for generating phonetic questions used in tree-based state tying for speech recognition. In order to implement a speech recognition system, language-dependent knowledge which goes beyond annotated ...
Generation Feature Tables, Anja Geumann, Julie Carson-berndsen   +2 more
core  

Linguistic prehistory of the Australian boab [PDF]

, 2014
©2014 Patrick McConvell, Thomas Saunders & Stef SpronckThis paper was presented at the 44th Conference of the Australian Linguistic Society, 2013, at the University of Melbourne. All papers in the volume have been double blind peer-reviewed.
McConvell, Patrick (R18383), Saunders, Thomas, McConvell, Patrick, Spronck, Stef   +3 more
core  

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source