Results 61 to 70 of about 12,623 (228)
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, 2018 The problem of word sense disambiguation (WSD) is considered in the article. Set of synonyms (synsets) and sentences with these synonyms are taken. It is necessary to automatically select the meaning of the word in the sentence.
Andrew Krizhanovsky +2 more
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Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study aims at shedding light on the vast landscape of natural language processing (NLP) tasks used when analyzing sustainability reports or sustainability within integrated annual reports. A systematic literature review is carried out, identifying 160 studies of relevance.
Hannes Cordes
wiley +1 more source
Analysis of the impact of the contextual embeddings usage on the text classification accuracy
Радіоелектронні і комп'ютерні системиAnalysis of the impact of the contextual embeddings usage on the text classification ...
Olesia Barkovska +4 more
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Journal of Applied Toxicology, EarlyView.ABSTRACT Carcinogenicity evaluation is a critical component of chemical risk assessment, yet traditional in vivo testing remains time consuming, costly, and ethically challenging. Computational approaches based on machine learning offer promising alternatives, but the relative contributions of different molecular representation strategies for ...
Iuri Barbosa Pereira +2 more
wiley +1 more source
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2020 Currently, the discussion about hate speech in Indonesia is warm, primarily through social media. Hate speech is communication that disparages a person or group based on characteristics such as (race, ethnicity, gender, citizenship, religion and ...
Auliya Rahman Isnain +2 more
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Immune2vec: Embedding B/T Cell Receptor Sequences in ℝN Using Natural Language Processing
Frontiers in Immunology, 2021 The adaptive branch of the immune system learns pathogenic patterns and remembers them for future encounters. It does so through dynamic and diverse repertoires of T- and B- cell receptors (TCR and BCRs, respectively).
Miri Ostrovsky-Berman +7 more
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Strategic Entrepreneurship Journal, EarlyView.Abstract Research Summary Using 14,108 Kickstarter crowdfunding campaigns, we examine three strategies to gather support from first‐time versus repeat backers: narrative distinctiveness aligning with backers' expectations of novelty, endorsement from Kickstarter staff, and campaign leadership's reciprocity of funding other campaigns.
Stephanie Hepp +2 more
wiley +1 more source
Fast2Vec, a modified model of FastText that enhances semantic analysis in topic evolution [PDF]
PeerJ Computer ScienceBackground Topic modeling approaches, such as latent Dirichlet allocation (LDA) and its successor, the dynamic topic model (DTM), are widely used to identify specific topics by extracting words with similar frequencies from documents.
Ayu Pertiwi, Azhari Azhari, Sri Mulyana
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Mixed feelings, mixed outcomes? When emotionally ambivalent framing enhances idea appreciation
Strategic Entrepreneurship Journal, EarlyView.Abstract Research Summary Despite growing interest in how linguistic strategies shape audience responses to innovative ideas, prior evidence on the benefits of using emotional language remains mixed. Building on research on emotional ambivalence and social evaluation, we introduce the concept of emotionally ambivalent framing (i.e., the combination of ...
Donato Cutolo +2 more
wiley +1 more source
Word and Phrase Translation with word2vec
CoRR, 2017 Word and phrase tables are key inputs to machine translations, but costly to produce. New unsupervised learning methods represent words and phrases in a high-dimensional vector space, and these monolingual embeddings have been shown to encode syntactic and semantic relationships between language elements.
openaire +2 more sources