Evaluating the predication model of metaphor comprehension: Using word2vec to model best/worst quality judgments of 622 novel metaphors

Research article (Behavior Research Methods, 2021) · cited 10× · AI/ML
Press Enter · cited answer in seconds

Evaluating the predication model of metaphor comprehension: Using word2vec to model best/worst quality judgments of 622 novel metaphors

Summary

Evaluating the predication model of metaphor comprehension: Using word2vec to model best/worst quality judgments of 622 novel metaphors is a scholarly article[1].

Key Facts

  • Evaluating the predication model of metaphor comprehension: Using word2vec to model best/worst quality judgments of 622 novel metaphors's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Evaluating the predication model of metaphor comprehension: Using word2vec to model best/worst quality judgments of 622 novel metaphors. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-the-predication-model-of-metaphor-comprehension-using-word2vec-to-model-best-worst-quality-judgments-of-622-n
MLA “Evaluating the predication model of metaphor comprehension: Using word2vec to model best/worst quality judgments of 622 novel metaphors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-the-predication-model-of-metaphor-comprehension-using-word2vec-to-model-best-worst-quality-judgments-of-622-n.
BibTeX @misc{4ortxyz_evaluating-the-predication-model-of-metaphor-comprehension-using-word2vec-to-model-best-worst-quality-judgments-of-622-n_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the predication model of metaphor comprehension: Using word2vec to model best/worst quality judgments of 622 novel metaphors}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-predication-model-of-metaphor-comprehension-using-word2vec-to-model-best-worst-quality-judgments-of-622-n}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating the predication model of metaphor comprehension: Using word2vec to model best/worst quality judgments of 622 novel metaphors — https://4ort.xyz/entity/evaluating-the-predication-model-of-metaphor-comprehension-using-word2vec-to-model-best-worst-quality-judgments-of-622-n (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/evaluating-the-predication-model-of-metaphor-comprehension-using-word2vec-to-model-best-worst-quality-judgments-of-622-n · Last refreshed: