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The Italian colour lexicon in Tuscany: elicited lists, cognitive salience, and semantic maps of colour terms
We investigated the Tuscan Italian colour inventory, with the aim of establishing the cognitive salience of the basic colour terms (BCTs) and most...
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Navigating the Mental Lexicon: Network Structures, Lexical Search and Lexical Retrieval
This paper examines the implications of the association patterns in our understanding of the mental lexicon. By applying the principles of graph...
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LEXpander: Applying colexification networks to automated lexicon expansion
Recent approaches to text analysis from social media and other corpora rely on word lists to detect topics, measure meaning, or to select relevant...
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Cognitive modelling of concepts in the mental lexicon with multilayer networks: Insights, advancements, and future challenges
The mental lexicon is a complex cognitive system representing information about the words/concepts that one knows. Over decades psychological...
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Value Characteristics of the Core of the Mental Lexicon of Native Speakers of Language and Culture in the Light of Intercultural Communication
The purpose of this study was to consider the core of the mental lexicon of the Kazakh language based on the analysis of associative dictionaries, to...
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Entity normalization in a Spanish medical corpus using a UMLS-based lexicon: findings and limitations
Entity normalization is a common strategy to resolve ambiguities by map** all the synonym mentions to a single concept identifier in standard...
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Lexicon enhanced Chinese named entity recognition with pointer network
In recent time, lexicon-based LSTM and pre-training language models are combined to explore the Chinese Named Entity Recognition (NER) and achieve...
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Analysis of customer reviews with an improved VADER lexicon classifier
BackgroundThe importance of customer reviews in determining satisfaction has significantly increased in the digital marketplace. Using sentiment...
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COLLIE: a broad-coverage ontology and lexicon of verbs in English
Progress on deep language understanding is inhibited by the lack of a broad coverage lexicon that connects linguistic behavior to ontological...
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A Chinese named entity recognition model: integrating label knowledge and lexicon information
Chinese named entity recognition (CNER) is one of the important tasks in the field of information extraction. And different divisions of CNER for...
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Chinese Named Entity Recognition Augmented with Lexicon Memory
Inspired by the concept of content-addressable retrieval from cognitive science, we propose a novel fragmentbased Chinese named entity recognition...
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Multi-task learning with helpful word selection for lexicon-enhanced Chinese NER
Named entity recognition (NER) is a common task in the field of natural language processing, but it remains more challenging in Chinese due to the...
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MedLexSp – a medical lexicon for Spanish medical natural language processing
BackgroundMedical lexicons enable the natural language processing (NLP) of health texts. Lexicons gather terms and concepts from thesauri and...
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Umigon-lexicon: rule-based model for interpretable sentiment analysis and factuality categorization
We introduce umigon-lexicon, a novel resource comprising English lexicons and associated conditions designed specifically to evaluate the sentiment...
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Lexicon-Based Sentiment Analysis in Behavioral Research
A complete science of human behavior requires a comprehensive account of the verbal behavior those humans exhibit. Existing behavioral theories of...
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A lexicon-based approach for sentiment analysis of multimodal content in tweets
Sentiment analysis (SA) is widely used in various applications such as online opinion gathering for policy directives in government, monitoring of...
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Automatic construction of direction-aware sentiment lexicon using direction-dependent words
Explainability, which is the degree to which an interested stakeholder can understand the key factors that led to a data-driven model’s decision, has...
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SeNSe: embedding alignment via semantic anchors selection
Word embeddings have proven extremely useful across many NLP applications in recent years. Several key linguistic tasks, such as machine translation...
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Automated measures of sentiment via transformer- and lexicon-based sentiment analysis (TLSA)
The last decade witnessed the proliferation of automated content analysis in communication research. However, existing computational tools have been...
