Results 111 to 120 of about 10,293,728 (308)

Natural Language Processing and Information Systems

, 2023
This book constitutes the refereed proceedings of the 28th International Conference on Applications of Natural Language to Information Systems, NLDB 2023, held in Derby, UK, in June 21–23, 2023.

core   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Natural language processing for African languages

CoRR
PhD ...
openaire   +2 more sources

Aspect-Based Sentiment Analysis in Ho Chi Minh City Hotel Reviews Using Aspect-Conditioned BiLSTM With Cross-Aspect Attention and Ordinal Regression

IEEE Access
The rapid growth of tourism in Ho Chi Minh City has generated a huge volume of Vietnamese hotel reviews, creating an urgent demand for effective aspect-based sentiment analysis (ABSA).
Tam Khoi Tran, Phuoc Tran
doaj   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification [PDF]

, 2019
Acknowledgment This work is supported by the award made by the UK Engineering and Physical Sciences Research Council (Grant number: EP/P011829/1)
Li, R., Collinson, M., Lin, Chenghua, Chen, Guanyi, Xiao Li, Natural Language Processing, Li, Ruizhe, Li, X., Guanyi Chen, Matthew Collinson, Collinson, Matthew, Ruizhe Li, Li, Xiao, Sub Natural Language Processing, Lin, C., Chenghua Lin, Chen, G.   +16 more
core   +2 more sources

Networks and Natural Language Processing

AI Magazine, 2008
Over the last few years, a number of areas of natural language processing have begun applying graph‐based techniques. These include, among others, text summarization, syntactic parsing, word‐sense disambiguation, ontology construction, sentiment and subjectivity analysis, and text clustering.
Radev, Dragomir R., Mihalcea, Rada
openaire   +3 more sources

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

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, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Logic replicant: a new machine learning algorithm for multiclass classification in small datasets

Machine Learning: Science and Technology
Multiclass classification with small datasets often presents a significant challenge for conventional machine learning (ML) algorithms, predicting with an accuracy affected by this context of data scarcity. To remedy this, this papers presents a novel ML
Pedro Corral, Roberto Centeno, Víctor Fresno   +2 more
doaj   +1 more source