Learning Chinese Word Embeddings With Words and Subcharacter N-Grams
IEEE Access, 2019 Co-occurrence information between words is the basis of training word embeddings; besides, Chinese characters are composed of subcharacters, words made up by the same characters or subcharacters usually have similar semantics, but this internal ...
Ruizhi Kang +4 more
doaj +1 more source
Conditional co-occurrence probability acts like frequency in predicting fixation durations
Journal of Eye Movement Research, 2008 The predictability of an upcoming word has been found to be a useful predictor in eye movement research, but is expensive to collect and subjective in nature.
James K. Y. Ong, Reinhold Kliegl
doaj +1 more source
Current trends in research on pulmonary fibrosis and metabolites: A bibliometric analysis
环境与职业医学, 2022 BackgroundCertain metabolites are closely related to the occurrence and development of pulmonary fibrosis, and the related mechanism has not been fully elucidated.
Ruimin MA, Yali FAN, Qiao YE
doaj +1 more source
Mapping and Analyzing the Scientific Map of Intangible Assets Using Research Indexed in Scientific Databases [PDF]
بازیابی دانش و نظامهای معنایی, 2020 Scientometrics is one of the most important scales for evaluating scientific products that are used to describe scientific studies in terms of their growth, structure, and interactions.
Ali Asghar Sadabadi +2 more
doaj +1 more source
Utterance-final position and pitch marking aid word learning in school-age children [PDF]
Royal Society Open Science, 2017 We investigated the effects of word order and prosody on word learning in school-age children. Third graders viewed photographs belonging to one of three semantic categories while hearing four-word nonsense utterances containing a target word.
Piera Filippi +2 more
doaj +1 more source
Feature weighting for co-occurrence-based classification of words [PDF]
Proceedings of the 20th international conference on Computational Linguistics - COLING '04, 2004 The paper comparatively studies methods of feature weighting in application to the task of cooccurrence-based classification of words according to their meaning. We explore parameter optimization of several weighting methods frequently used for similar problems such as text classification.
Staab, S., Pekar, V., Krkoska, M.
openaire +2 more sources
Bibliometric Analysis of Strategic Agility Using Word Co-occurrence Analysis [PDF]
مدیریت بازرگانیObjective Strategic agility, as one of the key concepts in strategic management, has attracted the attention of many researchers and managers. However, the concept remains controversial and is considered non-intuitive and intangible by some scholars ...
Ata Harandi, Alireza Mohebbi
doaj +1 more source
Word Embedding With Zipf’s Context
IEEE Access, 2019 Word embeddings generated by neural language models have achieved great success in many NLP tasks. However, neural language models may be difficult to train and time consuming.
Lizheng Gao +3 more
doaj +1 more source
A Bibliometric Study of Global Trends in Social Medicine Publications on the Web of Science from 2002 to 2021 [PDF]
پیاورد سلامت, 2023 Background and Aim: Bibliometric analysis by describing the state of publications and identifying key entities and emerging topics plays an important role in evaluating research.
Davoud Haseli, Somayeh Paknahad
doaj
Word clustering and disambiguation based on co-occurrence data [PDF]
Natural Language Engineering, 2002 We address the problem of clustering words (or constructing a thesaurus) based on co-occurrence data, and conducting syntactic disambiguation by using the acquired word classes. We view the clustering problem as that of estimating a class-based probability distribution specifying the joint probabilities of word pairs.
openaire +2 more sources