Results 1 to 10 of about 987,898 (191)
Misspelling Oblivious Word Embeddings [PDF]
Proceedings of the 2019 Conference of the North, 2019 9 ...
Aleksandra Piktus +5 more
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Applied Sciences, 2021 Obtaining high-quality embeddings of out-of-vocabularies (OOVs) and low-frequency words is a challenge in natural language processing (NLP). To efficiently estimate the embeddings of OOVs and low-frequency words, we propose a new method that uses the ...
Xianwen Liao +5 more
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Deconstructing Word Embeddings
CoRR, 2019 A review of Word Embedding Models through a deconstructive approach reveals their several shortcomings and inconsistencies. These include instability of the vector representations, a distorted analogical reasoning, geometric incompatibility with linguistic features, and the inconsistencies in the corpus data.
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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 0002, Claire Cardie
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An Experimental Analysis of Deep Neural Network Based Classifiers for Sentiment Analysis Task
IEEE Access, 2023 The application of natural language processing (NLP) in sentiment analysis task by using textual data has wide scale application across various domains in plethora of industries.
Mrigank Shukla, Akhil Kumar
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All Word Embeddings from One Embedding
CoRR, 2020 NeurIPS ...
Sho Takase, Sosuke Kobayashi
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Better Word Representation Vectors Using Syllabic Alphabet: A Case Study of Swahili
Applied Sciences, 2019 Deep learning has extensively been used in natural language processing with sub-word representation vectors playing a critical role. However, this cannot be said of Swahili, which is a low resource and widely spoken language in East and Central Africa ...
Casper S. Shikali +3 more
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Predicting High-Level Human Judgment Across Diverse Behavioral Domains
Collabra: Psychology, 2019 Recent advances in machine learning, combined with the increased availability of large natural language datasets, have made it possible to uncover semantic representations that characterize what people know about and associate with a wide range of ...
Russell Richie +2 more
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Investigating Word Meta-Embeddings by Disentangling Common and Individual Information
IEEE Access, 2020 In the field of natural language processing, combining multiple pre-trained word embeddings has become a viable approach to improve word representations. However, there is still a lack of understanding of why such improvements can be achieved.
Wenfan Chen +3 more
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Event-Driven Semantic Service Discovery Based on Word Embeddings
IEEE Access, 2018 Service discovery is vital to event handling in Internet of Things applications which are based on the event-driven service-oriented architecture. However, in service discovery, the problem of service matching that establishes relationships between ...
Fagui Liu +3 more
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