@inproceedings{rogers_too_2017,
	address = {Vancouver, Canada},
	title = {The (too {Many}) {Problems} of {Analogical} {Reasoning} with {Word} {Vectors}},
	url = {https://aclanthology.org/S17-1017},
	doi = {10.18653/v1/S17-1017},
	abstract = {This paper explores the possibilities of analogical reasoning with vector space models. Given two pairs of words with the same relation (e.g. man:woman :: king:queen), it was proposed that the offset between one pair of the corresponding word vectors can be used to identify the unknown member of the other pair (king - man + woman = queen). We argue against such “linguistic regularities” as a model for linguistic relations in vector space models and as a benchmark, and we show that the vector offset (as well as two other, better-performing methods) suffers from dependence on vector similarity.},
	urldate = {2024-09-26},
	booktitle = {Proceedings of the 6th {Joint} {Conference} on {Lexical} and {Computational} {Semantics} (*{SEM} 2017)},
	publisher = {Association for Computational Linguistics},
	author = {Rogers, Anna and Drozd, Aleksandr and Li, Bofang},
	editor = {Ide, Nancy and Herbelot, Aurélie and Màrquez, Lluís},
	month = aug,
	year = {2017},
	pages = {135--148},
}

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