Results 41 to 50 of about 2,031,469 (352)
Word Alignment by Fine-tuning Embeddings on Parallel Corpora [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2021 Word alignment over parallel corpora has a wide variety of applications, including learning translation lexicons, cross-lingual transfer of language processing tools, and automatic evaluation or analysis of translation outputs. The great majority of past
Zi-Yi Dou, Graham Neubig
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Misspelling Oblivious Word Embeddings [PDF]
Proceedings of the 2019 Conference of the North, 2019 9 ...
Aleksandra Piktus +5 more
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Learning linear transformations between counting-based and prediction-based word embeddings. [PDF]
PLoS ONE, 2017 Despite the growing interest in prediction-based word embedding learning methods, it remains unclear as to how the vector spaces learnt by the prediction-based methods differ from that of the counting-based methods, or whether one can be transformed into
Danushka Bollegala +2 more
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Natural language understanding of map navigation queries in Roman Urdu by joint entity and intent determination [PDF]
PeerJ Computer Science, 2021 Navigation based task-oriented dialogue systems provide users with a natural way of communicating with maps and navigation software. Natural language understanding (NLU) is the first step for a task-oriented dialogue system.
Javeria Hassan +2 more
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A Joint Model for Word Embedding and Word Morphology [PDF]
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016 This paper presents a joint model for performing unsupervised morphological analysis on words, and learning a character-level composition function from morphemes to word embeddings. Our model splits individual words into segments, and weights each segment according to its ability to predict context words.
Rei, Marek, Cao, Kris
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A Word on Words in Words: How Do Embedded Words Affect Reading? [PDF]
Journal of Cognition, 2018 A surprisingly small portion of reading research has been dedicated to investigating how the visual word recognition process is influenced by embedded words (e.g., 'arm' in 'charm'), and no research has yet investigated embedded words in a natural reading setting. Covering this issue, the present work reports analyses of eye-tracking data from the GECO
Joshua Snell +2 more
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Unsupervised Multilingual Word Embeddings [PDF]
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018 EMNLP ...
Xilun Chen, Claire Cardie
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Creating Welsh Language Word Embeddings
Applied Sciences, 2021 Word embeddings are representations of words in a vector space that models semantic relationships between words by means of distance and direction. In this study, we adapted two existing methods, word2vec and fastText, to automatically learn Welsh word ...
Padraig Corcoran +4 more
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Improving Distributional Similarity with Lessons Learned from Word Embeddings
Transactions of the Association for Computational Linguistics, 2015 Recent trends suggest that neural-network-inspired word embedding models outperform traditional count-based distributional models on word similarity and analogy detection tasks.
Omer Levy, Yoav Goldberg, Ido Dagan
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Analysis of Italian Word Embeddings [PDF]
, 2017 5 pages, 8 ...
Tripodi, Rocco, Pira, Stefano Li
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