| scholarly article | Q13442814 |
| P50 | author | Eric Kafe | Q65924374 |
| P2860 | cites work | Improving Distributional Similarity with Lessons Learned from Word Embeddings | Q49590994 |
| Issues in evaluating semantic spaces using word analogies | Q55375928 | ||
| Word Embeddings, Analogies, and Machine Learning: Beyond king - man + woman = queen | Q65944094 | ||
| GloVe: Global Vectors for Word Representation | Q22827276 | ||
| Distributed Representations of Words and Phrases and their Compositionality | Q24731579 | ||
| Linguistic Regularities in Continuous Space Word Representations | Q28949674 | ||
| WordNet: An Electronic Lexical Database | Q35839029 | ||
| P4510 | describes a project that uses | WordNet | Q533822 |
| Word2vec | Q22673982 | ||
| GloVe | Q22826110 | ||
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | word embedding | Q18395344 |
| analogy | Q185816 | ||
| semantic relation | Q2268906 | ||
| P577 | publication date | 2019-07-24 | |
| P1433 | published in | Proceedings of the Tenth Global Wordnet Conference | Q65923672 |
| P1476 | title | Fitting Semantic Relations to Word Embeddings |
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