Results 151 to 160 of about 446,831 (348)

DRGCN Multitasking for Aspect-Based Sentiment Analysis

Journal of Advanced Computational Intelligence and Intelligent Informatics
Existing aspect-based sentiment analysis (ABSA) methods do not sufficiently enhance multiple subtasks with syntactic knowledge in a joint framework. In this paper, we propose an ABSA method that utilizes a multitask learning framework to enhance syntactic knowledge fully.
Mengyang Du, Hongbin Wang
openaire   +1 more source

A Comprehensive Survey on Aspect Based Sentiment Analysis

CoRR, 2020
Aspect Based Sentiment Analysis (ABSA) is the sub-field of Natural Language Processing that deals with essentially splitting our data into aspects ad finally extracting the sentiment information. ABSA is known to provide more information about the context than general sentiment analysis.
openaire   +2 more sources

PancDS in Real‐World Practice: A Prospective Multicenter Validation of a Clinical Decision‐Support System Bridging Experience Gaps in Pancreatic Lesion Diagnosis

Advanced Science, EarlyView.
A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang, Weinuo Qu, Wenwen Cai, Chuhuai Wang, Chenxi Lyu, Qingguo Xie, Qian Chu, Yaqi Shen, Peng Xiao, Feng Li, Qingpeng Zhang, Jiali Li, Jeong Min Lee, Zhen Li   +13 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

Advanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding   +4 more
wiley   +1 more source

CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis

, 2023
As an extensive research in the field of natural language processing (NLP), aspect-based sentiment analysis (ABSA) is the task of predicting the sentiment expressed in a text relative to the corresponding aspect.
Lin, Xiaotian, Lin, Nankai, Jiang, Shengyi, Fu, Yingwen, Yang, Aimin   +4 more
core   +1 more source

BERT-Based Model for Aspect-Based Sentiment Analysis for Analyzing Arabic Open-Ended Survey Responses: A Case Study

IEEE Access
Educational institutions typically gather feedback from beneficiaries through formal surveys. Offering open-ended questions allows students to express their opinions about matters that may not have been measured directly in closed-ended questions ...
Khloud Alshaikh, Omaima Almatrafi, Yoosef B. Abushark   +2 more
semanticscholar   +1 more source

Thin‐Film Thermal Sensors on Chitosan Substrates for Sustainable Transient Electronics

Advanced Electronic Materials, EarlyView.
Fully transient thin‐film temperature sensors are realized on pure chitosan substrates using Mo‐based RTDs and a‐IGZO/Mo thermistors. The devices exhibit high sensitivity, mechanical flexibility, humidity‐aware operation, and complete dissolution in natural solvents.
Ahmed Rasheed, Soufiane Krik, Sundus Riaz, Hafiza Faiqa Maqsood, Jacopo Nicoletti, Riccardo Zamboni, Guglielmo Trentini, Pietro Ibba, Franco Cacialli, Andrea Gaiardo, Giuseppe Cantarella, Niko Münzenrieder, Paolo Lugli, Giovanni Antonio Salvatore, Luisa Petti   +14 more
wiley   +1 more source

Listening to Patients: Advanced Arabic Aspect-Based Sentiment Analysis Using Transformer Models Towards Better Healthcare

Patient satisfaction is a key measure of the quality of healthcare, directly impacting the success and competitiveness of healthcare providers in an increasingly demanding market.
Sarab AlMuhaideb, Seba AlNasser
core   +1 more source

UNITOR: Aspect Based Sentiment Analysis with Structured Learning

, 2014
In this paper, the UNITOR system participating in the SemEval-2014 Aspect Based Sentiment Analysis competition is presented. The task is tackled exploiting Kernel Methods within the Support Vector Machine framework.
Filice S., Croce D., Basili R., Castellucci G.   +3 more
core   +1 more source