Term position‐based language model for information retrieval
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the Association for Information Science and Technology"
DOI: 10.1002/asi.24431
Abstract: Term position feature is widely and successfully used in IR and Web search engines, to enhance the retrieval effectiveness. This feature is essentially used for two purposes: to capture query terms proximity or to boost… read more here.
Keywords: model; term position; language model; term ... See more keywords
Recurrent neural network with attention mechanism for language model
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04301-x
Abstract: The rapid growth of the Internet promotes the growth of textual data, and people get the information they need from the amount of textual data to solve problems. The textual data may include some potential… read more here.
Keywords: neural network; language model; network; recurrent neural ... See more keywords
Chinese-Naxi machine translation method based on Naxi dependency language model
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-014-0325-2
Abstract: AbstractTo make use of the syntactic characteristic of Naxi language effectively, in this paper, a Chinese-Naxi machine translation method based on Naxi dependency language model is proposed. The method, firstly, makes dependency parsing on the… read more here.
Keywords: chinese naxi; language model; dependency; naxi dependency ... See more keywords
Where to put the image in an image caption generator
Sign Up to like & getrecommendations! Published in 2018 at "Natural Language Engineering"
DOI: 10.1017/s1351324918000098
Abstract: Abstract When a recurrent neural network (RNN) language model is used for caption generation, the image information can be fed to the neural network either by directly incorporating it in the RNN – conditioning the… read more here.
Keywords: image; rnn; caption; language model ... See more keywords
Automated DNA Assembly Based on Four‐Gram Statistical Language Model
Sign Up to like & getrecommendations! Published in 2018 at "Chinese Journal of Electronics"
DOI: 10.1049/cje.2018.09.007
Abstract: By successively assembling genetic parts according to grammatical models, complex genetic constructs can be built. However, every category of genetic parts includes many parts. With the increasing quantity of genetic parts, the process of assembling… read more here.
Keywords: genetic parts; automated dna; language model; statistical language ... See more keywords
The detection of distributional discrepancy for language GANs
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2080182
Abstract: ABSTRACT A pre-trained neural language model (LM) is usually used to generate texts. Due to exposure bias, the generated text is not as good as real text. Many researchers claimed they employed the Generative Adversarial… read more here.
Keywords: distributional discrepancy; language model; language; language gans ... See more keywords
AgglutiFiT: Efficient Low-Resource Agglutinative Language Model Fine-Tuning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3015854
Abstract: Text classification tends to be difficult when data are inadequate considering the amount of manually labeled text corpora. For low-resource agglutinative languages including Uyghur, Kazakh, and Kyrgyz (UKK languages), in which words are manufactured via… read more here.
Keywords: language model; resource agglutinative; low resource; fine tuning ... See more keywords
MEM-KGC: Masked Entity Model for Knowledge Graph Completion With Pre-Trained Language Model
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DOI: 10.1109/access.2021.3113329
Abstract: The knowledge graph completion (KGC) task aims to predict missing links in knowledge graphs. Recently, several KGC models based on translational distance or semantic matching methods have been proposed and have achieved meaningful results. However,… read more here.
Keywords: entity; language model; knowledge graph; graph completion ... See more keywords
Domain-Specific Language Model Pre-Training for Korean Tax Law Classification
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DOI: 10.1109/access.2022.3164098
Abstract: Owing to their increasing amendments and complexity, most taxpayers do not have the required knowledge of tax laws, which results in issues in everyday life. To use tax counseling services through the internet, a person… read more here.
Keywords: tax laws; language model; tax; model ... See more keywords
Pre-Trained Word Embedding and Language Model Improve Multimodal Machine Translation: A Case Study in Multi30K
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DOI: 10.1109/access.2022.3185243
Abstract: Multimodal machine translation (MMT) is an attractive application of neural machine translation (NMT) that is commonly incorporated with image information. However, the MMT models proposed thus far have only comparable or slightly better performance than… read more here.
Keywords: language model; language; word embedding; mmt ... See more keywords
A Sequence-to-Sequence Framework Based on Transformer With Masked Language Model for Optical Music Recognition
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DOI: 10.1109/access.2022.3220878
Abstract: Optical music recognition technology is of great significance in the development of the digital music. In recent years, the convolutional recurrent neural network framework with connectionist temporal classification has been used in music recognition. However,… read more here.
Keywords: music; language model; music recognition; sequence ... See more keywords