Results 71 to 80 of about 259,269 (327)
Toward the Development of Large-Scale Word Embedding for Low-Resourced Language
IEEE Access, 2022 Word embedding is possessed by Natural language processing as a key procedure for semantically and syntactically manipulating the unlabeled text corpus.
Shahzad Nazir +5 more
doaj +1 more source
Relevance-based Word Embedding
, 2017 Learning a high-dimensional dense representation for vocabulary terms, also known as a word embedding, has recently attracted much attention in natural language processing and information retrieval tasks. The embedding vectors are typically learned based
Ai Qingyao +15 more
core +1 more source
Evaluation of Word Embeddings for the Social Sciences [PDF]
, 2023 Ricardo Schiffers +2 more
openalex +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 +2 more
wiley +1 more source
A triple joint extraction method combining hybrid embedding and relational label embedding
Dianxin kexue, 2023 The purpose of triple extraction is to obtain relationships between entities from unstructured text and apply them to downstream tasks.The embedding mechanism has a great impact on the performance of the triple extraction model, and the embedding vector ...
Jianfeng DAI +3 more
doaj +2 more sources
Spoken-Word Recognition: The Access to Embedded Words
Brain and Language, 1999 Two cross-modal priming experiments investigated whether the representation of either an initial- or a final-embedded word may be activated when the longer carrier word is auditorily presented. Visual targets were semantically related either to the embedded word or to the carrier word or they were unrelated to the primes. A priming effect was found for
Isel, F., Bacri, N.
openaire +3 more sources
Activation of embedded words in spoken word recognition. [PDF]
Journal of Experimental Psychology: Human Perception and Performance, 1997 Tilburg University Beatrice de Gelder Tilburg University and Universit6 Libre de Bruxelles Three cross-modal associative priming experiments investigated whether speech input acti- vates words that are embedded in other words.
Vroomen, Jean, De Gelder, Béatrice
openaire +2 more sources
Experimental Analysis and Physics‐Based Analytical Model on Twisted and Coiled Artificial Muscles
Advanced Engineering Materials, EarlyView.Twisted and coiled artificial muscles made from silver‐coated nylon fibers are investigated through experiments and analytical modeling. The actuators achieve contractions up to 19.3% and specific work of 8 kJ kg−1, though efficiency remains limited (≈0.15%) by thermal losses.
Salvatore Garofalo +3 more
wiley +1 more source
Sentiment-Aware Word Embedding for Emotion Classification
Applied Sciences, 2019 Word embeddings are effective intermediate representations for capturing semantic regularities between words in natural language processing (NLP) tasks. We propose sentiment-aware word embedding for emotional classification, which consists of integrating
Xingliang Mao +4 more
doaj +1 more source
Investigating the Effects of Word Substitution Errors on Sentence Embeddings
, 2019 A key initial step in several natural language processing (NLP) tasks involves embedding phrases of text to vectors of real numbers that preserve semantic meaning.
Berisha, Visar +2 more
core +1 more source