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The Need for a Novel Approach to Design Derivation Lexicon for Semitic Languages
Morphology knowledge is relevant in language learning, information retrieval and natural language processing. Derivation lexicons are comprehensive...
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Tracing Lexical Semantic Change with Distributional Semantics: Change and Stability
Recent studies suggest an increasing interest in detecting lexical semantic changes in the context of distributional semantics. However, most...
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The Semantic Analysis of Zhexia: From the Perspectives of Spatial Metaphor, Subjectivity and Discourse Function
“Zhèxià ” is a lexical item with unique functions, despite its relatively low frequency. Its typical usages...
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Urban-semantic computer vision: a framework for contextual understanding of people in urban spaces
Increasing computational power and improving deep learning methods have made computer vision technologies pervasively common in urban environments....
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KSRE-CNER: A Knowledge and Semantic Relation Enhancement Framework for Chinese NER
Chinese named entity recognition (CNER) constitutes a pivotal undertaking entailing the identification and classification of named entities present...
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Reactions to science communication: discovering social network topics using word embeddings and semantic knowledge
Social media platforms that disseminate scientific information to the public during the COVID-19 pandemic highlighted the importance of the topic of...
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A Cross-lingual Sentiment Embedding Model with Semantic and Sentiment Joint Learning
Unsupervised cross-lingual word embedding (CLWE) aligns monolingual embedding spaces without parallel corpora or bilingual dictionaries. However, it...
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Multidomain Sentiment Lexicon Learning Using Genre-Seed Embeddings
Sentiment lexicon is widely used resource which plays an important role in sentiment analysis tasks. Sentiment lexicon learning using minimum labeled...
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Formal Models of Automatic Semantic Processing
The computer processing of the natural language also includes semantic analysis in addition to lexical and syntactic analyses.
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Visual and semantic ensemble for scene text recognition with gated dual mutual attention
Scene text recognition is a challenging task in computer vision due to the significant differences in text appearance, such as image distortion and...
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Modeling semantic and emotional relationship in multi-turn emotional conversations using multi-task learning
Recognition and expression of emotion are key factors to the success of multi-turn conversations. Emotion recognition that can help model the...
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Deep learning based Bengali question answering system using semantic textual similarity
Recently, Question answering system is a major research area in language processing. Bengali isone of the most popular spoken languages in India....
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A Contextual Semantic-Based Approach for Domain-Centric Lexicon Expansion
This paper presents a contextual semantic-based approach for expansion of an initial lexicon containing domain-centric seed words. Starting with a...
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Extracting Concepts and Semantic Associates for Teaching Tang 300 Poems to L2 Learners
This research aims to explore the possibility of extracting language concepts and semantic associates through the diachronic construction of...
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Semantic speech analysis using machine learning and deep learning techniques: a comprehensive review
Human cognitive functions such as perception, attention, learning, memory, reasoning, and problem-solving are all significantly influenced by...
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Chinese Named Entity Recognition Using the Improved Transformer Encoder and the Lexicon Adapter
As a basic work of natural language processing (NLP), named entity recognition (NER) has attracted wide attention. Many methods of fusing the...
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MIVCN: Multimodal interaction video captioning network based on semantic association graph
In the field of computer vision, it is a challenging task to generate natural language captions from videos as input. To deal with this task, videos...
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Semantic morphological variant selection and translation disambiguation for cross-lingual information retrieval
Cross-Lingual Information Retrieval (CLIR) enables a user to query in a language which is different from the target documents language. CLIR...
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Urdu Semantic Parsing: An Improved SEMPRE Framework for Conversion of Urdu Language Web Queries to Logical Forms
The paper presents a semantic parser for Urdu language web queries about the journal’s dataset. It is built on the Sempre framework and trained using...
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Semantic Analysis of Transit Related Tweets in London and Prague
The semantic analysis is an important tool for processing people’s opinions, but processing data from social networking sites like Twitter is still...