Fetching the paper…
Reading the bibliography…
Vector space models of words have long been claimed to capture linguistic regularities as simple vector translations, but problems have been raised with this claim.
Linguistic Regularities in Continuous Space Word Representations
Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig. 2013b · 2013
Earlier work this paper cites.
Linguistic Regularities in Sparse and Explicit Word Representations
Omer Levy and Yoav Goldberg. 2014 · 2014
Earlier work this paper cites.
GloVe: Global Vectors for Word Representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Earlier work this paper cites.
Word Embeddings, Analogies, and Machine Learning: Beyond King - Man + Woman = Queen
Aleksandr Drozd, Anna Gladkova, and Satoshi Matsuoka. 2016 · 2016
Earlier work this paper cites.
Analogy-Based Detection of Morphological and Semantic Relations with Word Embeddings: What Works and What Doesn’t
Anna Gladkova, Aleksandr Drozd, and Satoshi Matsuoka. 2016 · 2016
Earlier work this paper cites.
Issues in Evaluating Semantic Spaces Using Word Analogies
Tal Linzen. 2016 · 2016
Earlier work this paper cites.
Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning
Ekaterina Vylomova, Laura Rimell, Trevor Cohn, and Timothy Baldwin. 2016 · 2016
Earlier work this paper cites.
Evaluating vector-space models of analogy
Dawn Chen, Joshua C. Peterson, and Thomas L. Griffiths. 2017 · 2017
Cited alongside, same era.
What Analogies Reveal about Word Vectors and their Compositionality
Gregory Finley, Stephanie Farmer, and Serguei Pakhomov. 2017 · 2017
Cited alongside, same era.
Insights into Analogy Completion from the Biomedical Domain
Denis Newman-Griffis, Albert Lai, and Eric Fosler-Lussier. 2017 · 2017
Cited alongside, same era.
The (Too Many) Problems of Analogical Reasoning with Word Vectors
Anna Rogers, Aleksandr Drozd, and Bofang Li. 2017 · 2017
Cited alongside, same era.
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi. 2017 · 2017
Cited alongside, same era.
Dict2vec : Learning Word Embeddings using Lexical Dictionaries
The Word Analogy Testing Caveat
Natalie Schluter. 2018 · 2018
Later among the works it cites.
Analogies Explained: Towards Understanding Word Embeddings
Carl Allen and Timothy Hospedales. 2019 · 2019
Later among the works it cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
Towards Understanding Linear Word Analogies
Kawin Ethayarajh, David Duvenaud, and Graeme Hirst. 2019 · 2019
Later among the works it cites.
Language Models are Unsupervised Multitask Learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Later among the works it cites.
On word analogies and negative results in NLP
Anna Rogers. 2019 · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Julien Tissier, Christophe Gravier, and Amaury Habrard. 2017 · 2017
Cited alongside, same era.
Relation Induction in Word Embeddings Revisited
Zied Bouraoui, Shoaib Jameel, and Steven Schockaert. 2018 · 2018
Cited alongside, same era.
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013a
Cited in the paper.
Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor
Malvina Nissim, Rik van Noord, and Rob van der Goot. 2020 · 2020
Closest in time.