Results 41 to 50 of about 2,273 (194)
JASTE: An Efficient Multi-Task Model for Aspect Sentiment Triplet Extraction [PDF]
Aspect sentiment triplet extraction (ASTE) is a relative difficult and novel research, which is a subtask of aspect-based sentiment analysis (ABSA). ASTE is a task that extracts triplets of aspects being discussed, relevant opinion entities and sentiment polarities from a given sentence.
Yanjing Wu +4 more
openaire +1 more source
This study explores the origins of life by linking prebiotic chemistry, the emergence of information‐carrying molecules such as RNA and proteins, and philosophical questions about consciousness. The study emphasizes the role of molecular evolution in the Central Dogma and provides insights into the chemical origins of biology and the basis of life's ...
Harald Schwalbe +5 more
wiley +2 more sources
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis
Target-based sentiment analysis or aspect-based sentiment analysis (ABSA) refers to addressing various sentiment analysis tasks at a fine-grained level, which includes but is not limited to aspect extraction, aspect sentiment classification, and opinion ...
Bing, Lidong +5 more
core +1 more source
A Better Choice: Entire-space Datasets for Aspect Sentiment Triplet Extraction
Aspect sentiment triplet extraction (ASTE) aims to extract aspect term, sentiment and opinion term triplets from sentences. Since the initial datasets used to evaluate models on ASTE had flaws, several studies later corrected the initial datasets and released new versions of the datasets independently.
Yuncong Li, Fang Wang, Sheng-Hua Zhong
openaire +2 more sources
Multilingual Opinion Factor Extraction Fusing Aspect Semantics and Grid Tagging [PDF]
Aspect-oriented fine-grained opinion extraction(AFOE) aims to extract the aspect and opinion terms in the reviews in the form of opinion pairs or to extract the sentiment polarity to form opinion triplets.Previous studies usually extract opinion factors ...
GU Wenxia, ZAOKERE Kadeer, YANG Qian, AISHAN Wumaier
doaj +1 more source
Topological Materials and Related Applications
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti +9 more
wiley +1 more source
Syntactic-Enhanced Multi-Task Learning Model for Aspect Sentiment Triplet Extraction
Aspect sentiment triplet extraction (ASTE), which aims to extract aspect terms, opinion terms, and sentiment polarity from textual comments, is a crucial task in aspect-based sentiment analysis.
Jiaxing Shang +3 more
doaj +1 more source
Multi-task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs
Many popular knowledge graphs such as Freebase, YAGO or DBPedia maintain a list of non-discrete attributes for each entity. Intuitively, these attributes such as height, price or population count are able to richly characterize entities in knowledge ...
Bollacker Kurt D. +20 more
core +1 more source
Abstract Aspect‐Based Sentiment Analysis (ABSA) has evolved from textual analysis to a multimodal paradigm, integrating visual information to capture nuanced sentiments. Despite advancements, existing Multimodal ABSA (MABSA) research remains limited in granularity, which focuses on either coarse‐level categories or named entities, neglecting fine ...
Li Yang +3 more
wiley +1 more source
A Severity‐Agnostic Atrophy Pattern in Spinocerebellar Ataxia Type 3: Volumetrics from ENIGMA‐Ataxia
Background Spinocerebellar ataxia type 3 (SCA3) is a rare, inherited neurodegenerative disease characterized by progressive loss of motor coordination. Objectives We undertook a multisite magnetic resonance imaging study to profile the spatial spread of atrophy across the brain, determine whether atrophy preferentially maps onto specific functional ...
Jason W. Robertson +43 more
wiley +1 more source

