Results 71 to 80 of about 33,522 (256)
Constructing Taxonomies from Pretrained Language Models [PDF]
, 2020 We present a method for constructing taxonomic trees (e.g., WordNet) using pretrained language models. Our approach is composed of two modules, one that predicts parenthood relations and another that reconciles those predictions into trees. The parenthood prediction module produces likelihood scores for each potential parent-child pair, creating a ...
arxiv +1 more source
WIREs Data Mining and Knowledge Discovery, Volume 15, Issue 1, March 2025.ABSTRACT Data mining and natural language processing (NLP) are fundamental fields that interact in many ways. Text mining shares many topics, such as sentiment analysis and content understanding. Combining these two fields enables more efficient mining of text data and the extraction of valuable information.
Canan Koç +2 more
wiley +1 more source
Semantic relations among nouns in Polish WordNet grounded in lexicographic and semantic tradition
Cognitive Studies | Études cognitives, 2015 Semantic relations among nouns in Polish WordNet grounded in lexicographic and semantic tradition The paper describes a system of lexico-semantic relations proposed for the nominal part of plWordNet 2.0 – the largest Polish wordnet.
Marek Maziarz +3 more
doaj +1 more source
Acta Psychiatrica Scandinavica, Volume 151, Issue 3, Page 332-347, March 2025.Abstract Background and Hypothesis Speech markers are digitally acquired, computationally derived, quantifiable set of measures that reflect the state of neurocognitive processes relevant for social functioning. “Oddities” in language and communication have historically been seen as a core feature of schizophrenia.
Tyler C. Dalal +5 more
wiley +1 more source
Stimulus Selection Influences Prediction of Individual Phenotypes in Naturalistic Conditions
Human Brain Mapping, Volume 46, Issue 3, February 15, 2025.Stimulus selection is crucial for phenotype prediction in naturalistic conditions. The level of inter‐subject synchrony in brain activity strongly influences the predictive capability, with the effect largely following the functional hierarchy of the brain.
Xuan Li, Simon B. Eickhoff, Susanne Weis
wiley +1 more source
Merging DanNet with Princeton Wordnet
Proceedings of Global Wordnet Conference 2019 (GWC2019), 2019 In this paper we describe the merge of the Danish wordnet, DanNet, with Princeton Wordnet applying a two-step approach. We first link from the English Princeton core to Danish (5,000 base concepts) and then proceed to link-ing the rest of the Danish vocabulary to English, thus going from Danish to English.
Pedersen, B. S. +3 more
openaire +1 more source
The price impact of tweets: A high‐frequency study
Financial Review, Volume 60, Issue 1, Page 147-171, February 2025.Abstract We examine the mechanism by which social media sentiment affects stock prices. Specifically, we assess the impact of Twitter feeds on stock returns at the intraday level. We find that an increase in buyer‐initiated trades has a significantly positive price impact.
Ni Yang +2 more
wiley +1 more source
Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings
Open Computer Science, 2019 Word embeddings trained on natural corpora (e.g., newspaper collections, Wikipedia or the Web) excel in capturing thematic similarity (“topical relatedness”) on word pairs such as ‘coffee’ and ‘cup’ or ’bus’ and ‘road’.
Maldonado Alfredo +2 more
doaj +1 more source
A proposal for a shallow ontologization of WordNet [PDF]
, 2005 En este artículo se presenta el trabajo que se está realizando para la llamada ontologización superficial de WordNet, una estructura orientada a superar muchos de los problemas estructurales de la popular base de conocimiento léxico.
Atserias Batalla, Jordi +2 more
core
Extending and Improving Wordnet via Unsupervised Word Embeddings [PDF]
arXiv, 2017 This work presents an unsupervised approach for improving WordNet that builds upon recent advances in document and sense representation via distributional semantics. We apply our methods to construct Wordnets in French and Russian, languages which both lack good manual constructions.1 These are evaluated on two new 600-word test sets for word-to-synset
arxiv