Results 31 to 40 of about 138,095 (289)
Using a High-Dimensional Graph of Semantic Space to Model Relationships among Words
Frontiers in Psychology, 2014 The GOLD model (Graph Of Language Distribution) is a network model constructed based on co-occurrence in a large corpus of natural language that may be used to explore what information may be present in a graph-structured model of language, and what ...
Alice F Jackson, Donald J Bolger
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The Effect of the Second Language on Metalinguistic Awareness in Third Language Vocabulary Learning
Romanian Journal of English Studies, 2021 This study aims at investigating the effect of second language in third language learning. It focuses on metalinguistic awareness, which reflects the extent to which learners can use their background languages in the process of third and additional ...
Sadouki Fatiha
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Trivial Transfer Learning for Low-Resource Neural Machine Translation
, 2018 Transfer learning has been proven as an effective technique for neural machine translation under low-resource conditions. Existing methods require a common target language, language relatedness, or specific training tricks and regimes.
Bojar, Ondřej, Kocmi, Tom
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Extracting and Analyzing Semantic Relatedness between Cities Using News Articles
, 2017 News articles capture a variety of topics about our society. They reflect not only the socioeconomic activities that happened in our physical world, but also some of the cultures, human interests, and public concerns that exist only in the perceptions of
Hu, Yingjie, Shaw, Shih-Lung, Ye, Xinyue
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Recommender System for E-Learning Based on Semantic Relatedness of Concepts
Information, 2015 Digital publishing resources contain a lot of useful and authoritative knowledge. It may be necessary to reorganize the resources by concepts and recommend the related concepts for e-learning.
Mao Ye, Zhi Tang, Jianbo Xu, Lifeng Jin
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Semantic Similarity/Relatedness for Cross Language Plagiarism Detection
Indonesian Journal of Electrical Engineering and Computer Science, 2016 <p>Generally utterances in natural language are highly ambiguous, and a unique interpretation can usually be determined only by taking into account the context in the utterance occurred. Automatically determining the correct sense of a polysemous word is a complicated problem especially in multilingual corpuses. This paper presents an application
Hanane Ezzikouri +2 more
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Query Expansion with Locally-Trained Word Embeddings
, 2016 Continuous space word embeddings have received a great deal of attention in the natural language processing and machine learning communities for their ability to model term similarity and other relationships.
Craswell, Nick +2 more
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Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks [PDF]
, 2015 Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex computational unit, have obtained strong results on a variety of sequence ...
Manning, Christopher D. +2 more
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Advanced Healthcare Materials, EarlyView.Cerebral organoids are transforming brain research, yet the field remains fragmented. This comprehensive systematic review maps 738 studies published between 2014 and 2024 to uncover trends, gaps, and opportunities across neuroscience. Introducing OrganoidMap—an interactive, open‐access platform to explore and compare models—this work enables ...
Anna Wolfram +10 more
wiley +1 more source
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion
, 2017 We present a novel cross-lingual transfer method for paradigm completion, the task of mapping a lemma to its inflected forms, using a neural encoder-decoder model, the state of the art for the monolingual task.
Cotterell, Ryan +2 more
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