Results 111 to 120 of about 2,800,842 (301)

A natural language interface to a graph-based bibliographic information retrieval system [PDF]

arXiv, 2016
With the ever-increasing scientific literature, there is a need on a natural language interface to bibliographic information retrieval systems to retrieve related information effectively. In this paper, we propose a natural language interface, NLI-GIBIR, to a graph-based bibliographic information retrieval system. In designing NLI-GIBIR, we developed a
arxiv  

FAIR and Structured Data: A Domain Ontology Aligned with Standard‐Compliant Tensile Testing

Advanced Engineering Materials, EarlyView.
The digitalization in materials science and engineering is discussed, emphasizing the importance of digital workflows and ontologies in managing diverse experimental data. Challenges such as quality assurance and data interoperability are tackled with semantic web technologies, focusing and introducing the tensile test ontology (TTO).
Markus Schilling, Bernd Bayerlein, Philipp von Hartrott, Jörg Waitelonis, Henk Birkholz, Pedro Dolabella Portella, Birgit Skrotzki   +6 more
wiley   +1 more source

CzeGPT-2–Training New Model for Czech Generative Text Processing Evaluated With the Summarization Task

IEEE Access
Automatic text summarization (ATS), alongside neural machine translation or question answering, is one of the leading tasks in Natural Language Processing (NLP).
Adam Hajek, Ales Horak
doaj   +1 more source

Visual Reasoning with Natural Language [PDF]

arXiv, 2017
Natural language provides a widely accessible and expressive interface for robotic agents. To understand language in complex environments, agents must reason about the full range of language inputs and their correspondence to the world. Such reasoning over language and vision is an open problem that is receiving increasing attention.
arxiv  

Program Synthesis using Natural Language [PDF]

, 2015
Interacting with computers is a ubiquitous activity for millions of people. Repetitive or specialized tasks often require creation of small, often one-off, programs. End-users struggle with learning and using the myriad of domain-specific languages (DSLs)
Aditya Desai, Amey Karkare, Mark Marron, Msr Redmond, Msr Redmond, Nidhi Jain, Roy, Sailesh R Subhajit, Sumit Gulwani, Vineet Hingorani   +9 more
core   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

The TUNA challenge 2008 : overview and evaluation results [PDF]

, 2008
The TUNA Challenge was a set of three shared tasks at REG '08, all of which used data from the TUNA Corpus. The three tasks covered attribute selection for referring expressions (TUNA-AS), realisation (TUNA-R) and end-to-end referring expression ...
Belz, Anja, Fifth International Natural Language Generation Conference, Gatt, Albert, Kow, Eric   +3 more
core  

A logic for natural language.

Notre Dame Journal of Formal Logic, 1991
This paper describes a language called LN whose structure mirrors tilat of natural language. LN is characterized by absence of variables and individual constants. Singular predicates assume the role of both individual constants and free variables. The role of bound variables is played by predicate functors called "selection operators." Like natural ...
openaire   +3 more sources

Digital Methods for the Fatigue Assessment of Engineering Steels

Advanced Engineering Materials, EarlyView.
The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener, Johannes Rosenberger, Michael Luke, José Manuel Domínguez, Joana Francisco Morgado, Hans‐Ulrich Kobialka, Torsten Kraft, Johannes Tlatlik   +7 more
wiley   +1 more source

VoicePAT: An Efficient Open-Source Evaluation Toolkit for Voice Privacy Research

IEEE Open Journal of Signal Processing
Speaker anonymization is the task of modifying a speech recording such that the original speaker cannot be identified anymore. Since the first Voice Privacy Challenge in 2020, along with the release of a framework, the popularity of this research topic ...
Sarina Meyer, Xiaoxiao Miao, Ngoc Thang Vu   +2 more
doaj   +1 more source