Results 41 to 50 of about 4,141 (216)

Aspect Sentiment Triplet Extraction Based on Linguistic Feature Enhancement [PDF]

Jisuanji gongcheng
Aspect sentiment triplet extraction is an important subtask in aspect-level sentiment analysis aimed at extracting aspect words, opinion words, and sentiment polarity from sentences.
HUANG Zipeng, ZENG Biqing, CHEN Pengfei, ZHOU Siying
doaj   +1 more source

Bidirectional Cascade Network for Aspect Sentiment Triplet Extraction [PDF]

Jisuanji gongcheng
Aspect Sentiment Triplet Extraction(ASTE) is a subtask of aspect-based sentiment analysis. The goal is to extract all mentioned aspects, their corresponding opinions, and the sentiment polarity expressed, forming triplets from a given text sequence.
ZHENG Ayong, GU Xingsheng
doaj   +1 more source

Aspect Sentiment Triplet Extraction Combining Chain-of-Thought and Low-Rank Adaptation Fine-Tuning [PDF]

Jisuanji gongcheng
The Aspect Sentiment Triplet Extraction (ASTE) task is an important subtask of aspect-level sentiment analysis. Conventional supervised learning methods achieve SOTA or near-SOTA results in this task.
Biqing ZENG, Pengfei CHEN, Yongtao YAO
doaj   +1 more source

Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis

, 2019
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, Huang, Fei, Lu, Wei, Peng, Haiyun, Si, Luo, Xu, Lu   +5 more
core   +1 more source

Multilingual Opinion Factor Extraction Fusing Aspect Semantics and Grid Tagging [PDF]

Jisuanji kexue
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

How Important is Syntactic Parsing Accuracy? An Empirical Evaluation on Rule-Based Sentiment Analysis

, 2017
Syntactic parsing, the process of obtaining the internal structure of sentences in natural languages, is a crucial task for artificial intelligence applications that need to extract meaning from natural language text or speech.
Alonso-Alonso, Iago, Gómez-Rodríguez, Carlos, Vilares, David   +2 more
core   +1 more source

Perspective: OLED Displays Singing with the Blues

Advanced Materials, EarlyView.
While blue pixels consume approximately 50% of the energy of OLED display front planes, in the 25 years since their invention, 100% internal efficiency triplet‐controlled phosphorescent OLEDs have not met the stability standards necessary for their adoption.
Stephen R. Forrest, Claire Arneson, Haonan Zhao   +2 more
wiley   +1 more source

SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery

Advanced Intelligent Systems, EarlyView.
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta, Jonathan David Heaton Paul, Ingo Schmitt, Florian Pyczak   +3 more
wiley   +1 more source

Exploring the World of Double Nanohoops

Angewandte Chemie International Edition, EarlyView.
As two conjugated nanohoops covalently linked by a central unit, double nanohoops are a relatively new class of strained nanocarbons with different properties to single nanohoops. This review gives an overview of all reported double nanohoops, categorizing their structures, syntheses, and discussing properties and applications. Creativity and synthetic
Luisa Rzesny, Philipp Seitz, Birgit Esser   +2 more
wiley   +1 more source

Annotating aspects in text and image: A new task and dataset for multimodal aspect‐based sentiment analysis

Journal of the Association for Information Science and Technology, EarlyView.
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, Jia Yang, Jin‐Cheon Na, Jianfei Yu   +3 more
wiley   +1 more source