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The Word Analogy Testing Caveat [PDF]

open access: yesProceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), 2018
There are some important problems in the evaluation of word embeddings using standard word analogy tests. In particular, in virtue of the assumptions made by systems generating the embeddings, these remain tests over randomness.
Schluter, Natalie
core   +6 more sources

Predicting drug–gene relations via analogy tasks with word embeddings [PDF]

open access: yesScientific Reports
Natural language processing is utilized in a wide range of fields, where words in text are typically transformed into feature vectors called embeddings.
Hiroaki Yamagiwa   +8 more
doaj   +2 more sources

Distributional hypothesis as isomorphism between word-word co-occurrence and analogical parallelograms. [PDF]

open access: yesPLoS One
Most of the modern natural language processing (NLP) techniques are based on the vector space models of language, in which each word is represented by a vector in a high dimensional space. One of the earliest successes was demonstrated by the four-term analogical reasoning task: what is to C as B is to A?
Torii T, Maeda A, Hidaka S.
europepmc   +3 more sources

Action of the law of analogy in occasional word formation (based on the lyrics by E.A. Evtushenko and A.A. Voznesensky)

open access: yesВестник Самарского университета: История, педагогика, филология, 2023
The article views analogy as one of the basic laws of language development. The action of the law of analogy is studied on the material of the occasional word creation of the poets of the 60-ies of the XX century E.A. Evtushenko and A.A.
T. V. Dmitrieva
doaj   +1 more source

Slovene and Croatian word embeddings in terms of gender occupational analogies

open access: yesSlovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, 2021
In recent years, the use of deep neural networks and dense vector embeddings for text representation have led to excellent results in the field of computational understanding of natural language.
Matej Ulčar   +3 more
doaj   +1 more source

Domain-Specific Word Embeddings with Structure Prediction

open access: yesTransactions of the Association for Computational Linguistics, 2023
Complementary to finding good general word embeddings, an important question for representation learning is to find dynamic word embeddings, for example, across time or domain. Current methods do not offer a way to use or predict information on structure
David Lassner   +3 more
doaj   +1 more source

Two Approaches to Augustine’s Theory of the Trinitarian Image in Ming and Qing China

open access: yesReligions, 2023
In some of the earliest Chinese works written by Catholic missionaries in the late Ming Dynasty, St. Augustine became associated with the mystery of the Trinity. When explaining the Trinity to Chinese believers, missionaries would often use an analogy of
Weichi Zhou, Yingying Zhang
doaj   +1 more source

Evaluation of Word Embedding Models in Latvian NLP Tasks Based on Publicly Available Corpora

open access: yesApplied Computer Systems, 2021
Nowadays, natural language processing (NLP) is increasingly relaying on pre-trained word embeddings for use in various tasks. However, there is little research devoted to Latvian – a language that is much more morphologically complex than English.
Laucis Rolands, Jēkabsons Gints
doaj   +1 more source

Analogies minus analogy test: measuring regularities in word embeddings [PDF]

open access: yesProceedings of the 24th Conference on Computational Natural Language Learning, 2020
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. We decompose and empirically analyze the classic arithmetic word analogy test, to motivate two new metrics that address the issues with the standard test, and which distinguish between ...
Fournier, Louis   +2 more
openaire   +3 more sources

Paraphrases do not explain word analogies [PDF]

open access: yesProceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Many types of distributional word embeddings (weakly) encode linguistic regularities as directions (the difference between "jump" and "jumped" will be in a similar direction to that of "walk" and "walked," and so on). Several attempts have been made to explain this fact.
Fournier, Louis, Dunbar, Ewan
openaire   +3 more sources

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