Results 81 to 90 of about 33,665 (246)
AI‐Enhanced Semantic Feature Norms for 786 Concepts
Abstract Semantic feature norms have been foundational in the study of human conceptual knowledge, yet traditional methods face trade‐offs between concept/feature coverage and verifiability of quality due to the labor‐intensive nature of norming studies.
Siddharth Suresh +6 more
wiley +1 more source
Word Mover’s Embedding: From Word2Vec to Document Embedding [PDF]
While the celebrated Word2Vec technique yields semantically rich representations for individual words, there has been relatively less success in extending to generate unsupervised sentences or documents embeddings. Recent work has demonstrated that a distance measure between documents called \emph{Word Mover's Distance} (WMD) that aligns semantically ...
Wu, Lingfei +7 more
openaire +2 more sources
Language machines: Toward a linguistic anthropology of large language models
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux +2 more
wiley +1 more source
AI‐Powered Scoring for Creative Thinking: Methods and Challenges in PISA Assessment
ABSTRACT The introduction of the PISA 2022 Creative Thinking assessment underscores the growing need for scalable, valid, and reliable methods to evaluate creativity in international large‐scale assessments. Traditional human scoring, while nuanced, is time‐consuming, costly, and subject to inconsistencies.
Ricardo Primi +7 more
wiley +1 more source
Word2vec2syn : Synonymidentifiering med Word2vec
Inom NLP (eng. natural language processing) är synonymidentifiering en av de språkvetenskapliga utmaningarna som många antar. Fodina Language Technology AB är ett företag som skapat ett verktyg, Termograph, ämnad att samla termer inom företag och hålla den interna språkanvändningen konsekvent.
openaire +2 more sources
The Influence of Feature Representation of Text on the Performance of Document Classification
In this paper we perform a comparative analysis of three models for a feature representation of text documents in the context of document classification.
Sanda Martinčić-Ipšić +2 more
doaj +1 more source
Why Interest Groups With Divergent Goals Collaborate: Evidence From Climate Regulation
ABSTRACT Why do interest groups with contrasting interests and policy goals work together? I present a theory of collaborative policy production and show that interest groups can achieve higher policy gains through collaboration, even though their ideal policy goals may diverge significantly.
Dahyun Choi
wiley +1 more source
Temporal Analysis on Topics Using Word2Vec
The present study proposes a novel method of trend detection and visualization - more specifically, modeling the change in a topic over time. Where current models used for the identification and visualization of trends only convey the popularity of a singular word based on stochastic counting of usage, the approach in the present study illustrates the ...
Sandhu, Angad +4 more
openaire +2 more sources
Punctuation and Parallel Corpus Based Word Embedding Model for Low-Resource Languages
To overcome the data sparseness in word embedding trained in low-resource languages, we propose a punctuation and parallel corpus based word embedding model.
Yang Yuan, Xiao Li, Ya-Ting Yang
doaj +1 more source

