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NooJ Grammars for Morphophonemic Continuity and Semantic Discontinuity
If we give someone just one slap, are we actually slap** him or her? More precisely: how many slaps must we give someone so to mean that we are...
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LACNNER: Lexicon-Aware Character Representation for Chinese Nested Named Entity Recognition
Named Entity Recognition (NER) is one of fundamental researches in natural language processing. Chinese nested-NER is even more challenging....
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Semantic segmentation of large-scale point clouds with neighborhood uncertainty
Large-scale point cloud segmentation is one of the important research directions in the field of computer vision, aiming at segmenting 3D point cloud...
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Construction and Application of a Large-Scale Chinese Abstractness Lexicon Based on Word Similarity
As an important semantic feature, abstractness has been widely studied in linguistics, psychology, cognitive sciences and other fields. Many...
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Dual semantic-aligned clustering for cross-domain person re-identification
Person re-identification (ReID) intends to link people with common identities captured by various cameras spread across a big, fragmented area. Due...
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SubTST: a consolidation of sub-word latent topics and sentence transformer in semantic representation
In most applications, text understanding and representation always play an important role, especially in automatic processing. Together with the...
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Bootstrap** a Lexicon of Multiword Adverbs for Brazilian Portuguese
This paper presents the process for bootstrap** a computational lexicon of multiword adverbs for Brazilian Portuguese (PT-BR) from an already...
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Semantic features analysis for biomedical lexical answer type prediction using ensemble learning approach
Lexical answer type prediction is integral to biomedical question–answering systems. LAT prediction aims to predict the expected answer’s semantic...
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Syntactic-Semantic Analysis of Perception Verbs in the Croatian Language
This study presents a corpus approach to verbs of perception for the Croatian language, considering the fact that there has not been a single...
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Optimal trained long short-term memory for opinion mining: a hybrid semantic knowledgebase approach
This study describes a hybrid semantic knowledgebase-machine learning strategy for mining domain feature-level opinions and categorizing them on a...
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Financial markets sentiment analysis: develo** a specialized Lexicon
Natural language processing in specific domains such as financial markets requires the knowledge of domain ontology. Therefore, develo** a...
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Unsupervised tweets categorization using semantic and statistical features
Clustering is one of the widely used techniques in information retrieval. This experiment intends to categorize Tweets (based on their content) as...
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Impact for whom? Map** the users of public research with lexicon-based text mining
We contribute to the debate on societal impact of SSH by develo** a methodology that allows a fine-grained observation of social groups that make...
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CD-BLI: Confidence-Based Dual Refinement for Unsupervised Bilingual Lexicon Induction
Unsupervised bilingual lexicon induction is a crucial and challenging task in multilingual NLP, which aims to induce word translation by aligning...
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A Novel Mapper Machine Learning Algorithm for Semantic Domain Map** for Domain Database Updation
The opinions and reviews analysis has been an important part of research as people around the globe are using these data for making decision for the...
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Deep semantic mining of big multimedia data advertisements based on needs ontology construction
Constructing an ontology of human needs is to enable computers to perform deep semantic mining so that valuable information can be extracted from...
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Develo** an agriculture ontology for extracting relationships from texts using Natural Language Processing to enhance semantic understanding
This paper outlines a methodology for develo** an agriculture ontology to extract relationships from texts using web-scra** techniques, Natural...
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A multichannel embedding and arithmetic optimized stacked Bi-GRU model with semantic attention to detect emotion over text data
Emotion analysis of social media data is essential for understanding a person’s mindset and judgment on a particular event. The emotion detection...
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Incremental Word Vectors for Time-Evolving Sentiment Lexicon Induction
A sentiment lexicon is a list of expressions annotated according to affect categories such as positive, negative, anger and fear. Lexicons are widely...
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Machine Learning or Lexicon Based Sentiment Analysis Techniques on Social Media Posts
Social media provides an accessible and effective platform for individuals to offer thoughts and opinions across a wide range of interest areas. It...