Results 31 to 40 of about 49,185 (256)
Using k-Way Co-Occurrences for Learning Word Embeddings [PDF]
Proceedings of the AAAI Conference on Artificial Intelligence, 2018 Co-occurrences between two words provide useful insights into the semantics of those words.Consequently, numerous prior work on word embedding learning has used co-occurrences between two wordsas the training signal for learning word embeddings.However, in natural language texts it is common for multiple words to be related and co ...
Danushka Bollegala +2 more
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Publications of psychology in the top 10 Iranian universities in Scopus from 1969 to 2022: A bibliometric analysis [PDF]
مجله علمسنجی کاسپین, 2023 Background and aim: The present research aims to study the status of publications and scientific collaboration and word co-occurrence networks in the field of psychology in Iran, focusing on the top 10 universities using the Scopus database.
Davoud Haseli +2 more
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Informatics in Medicine Unlocked, 2022 Health communication is a new field focusing on the “powerful role” of human and media communication in health care services and health promotion. This study intends to explore the intellectual structure of knowledge in health communication literature ...
Fatemah Makkizadeh, Fezzeh Ebrahimi
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Information Approach to Co-occurrence of Words in Written Language [PDF]
Complex Systems, 2015 In this paper we study the distribution of words across the different parts of a book using tools from information theory. In particular, the mutual information between words in the text and parts of the text is compared with the mutual information of a shuffled version of the book. This analysis allows us to extract not only relevant words of the text
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Research on Dynamic Topic Recognition Based on the Change of Word Co-Occurrence Frequency
Zhishi guanli luntan, 2022 [Purpose/Significance] The research on topic recognition is very important to clarify the knowledge structure and research hotspots in the field. Dynamic identification of domain topics can help researchers understand and master the development trend and
Xi Chongjun, Liu Wenbin, Ding Kai
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Lexical Co-occurrence, Statistical Significance, and Word Association
CoRR, 2010 Lexical co-occurrence is an important cue for detecting word associations. We present a theoretical framework for discovering statistically significant lexical co-occurrences from a given corpus. In contrast with the prevalent practice of giving weightage to unigram frequencies, we focus only on the documents containing both the terms (of a candidate ...
Dipak L. Chaudhari +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu +8 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques +5 more
wiley +1 more source
FEBS Letters, EarlyView.How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
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Journal of Information Science Theory and Practice, 2020 Word similarity is often measured to enhance system performance in the information retrieval field and other related areas. This paper reports on an experimental comparison of values for word similarity measures that were computed based on 50 ...
Natsuki Kadowaki, Kazuaki Kishida
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