Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis

Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis

Saved in:

Bibliographic Details
Main Authors:	Stefanos Angelidis, Mirella Lapata
Format:	Article
Language:	English
Published:	The MIT Press 2021-03-01
Series:	Transactions of the Association for Computational Linguistics
Online Access:	http://dx.doi.org/10.1162/tacl_a_00002
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Machine Learning with Self-Assessment Manikin Valence Scale for Fine-Grained Sentiment Analysis
by: Lindung Parningotan Manik, et al.
Published: (2025-06-01)

Deep transfer learning mechanism for fine-grained cross-domain sentiment classification
by: Zixuan Cao, et al.
Published: (2021-10-01)

FGMFN: Fine-Grained Multiscale Cross-Modal Sentiment Analysis in Advertisements
by: Han Wang, et al.
Published: (2025-01-01)

Multi-level fusion with fine-grained alignment for multimodal sentiment analysis
by: Xiaoge Li, et al.
Published: (2025-06-01)

Fine-grained analysis of aspects, sentiments and types of attitudes in restaurant reviews
by: Marcirio Silveira Chaves, et al.
Published: (2014-01-01)

Multiple Instance Learning With Instance-Level Positive-Unlabeled Learning in Anomaly Detection
by: Ryosuke Matsuo, et al.
Published: (2025-01-01)

Speech Emotion Recognition Using Two-Stage Multiple Instance Learning Networks
by: ZHANG Shiqing, CHEN Chen, ZHAO Xiaoming
Published: (2024-12-01)

Fine-Grained Feature Extraction in Key Sentence Selection for Explainable Sentiment Classification Using BERT and CNN
by: Thennakoon Mudiyanselage Anupama Udayangani Gunathilaka, et al.
Published: (2025-01-01)

Learning Structured Text Representations
by: Yang Liu, et al.
Published: (2021-03-01)

Meta-Learning a Cross-lingual Manifold for Semantic Parsing
by: Tom Sherborne, et al.
Published: (2023-01-01)

DepressionMIGNN: A Multiple-Instance Learning-Based Depression Detection Model with Graph Neural Networks
by: Shiwen Zhao, et al.
Published: (2025-07-01)

Transformer-based multiple instance learning network with 2D positional encoding for histopathology image classification
by: Bin Yang, et al.
Published: (2025-03-01)

AASNet: A Novel Image Instance Segmentation Framework for Fine-Grained Fish Recognition via Linear Correlation Attention and Dynamic Adaptive Focal Loss
by: Jianlei Kong, et al.
Published: (2025-04-01)

Automatic Evaluation of Information Ordering: Kendall's Tau
by: Mirella Lapata
Published: (2021-03-01)

Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning
by: Francisco Javier Saez-Maldonado, et al.
Published: (2025-01-01)

Weakly supervised multiple-instance active learning for tooth-marked tongue recognition
by: Feilin Deng, et al.
Published: (2025-06-01)

Financial Sentiment Analysis and Classification: A Comparative Study of Fine-Tuned Deep Learning Models
by: Dimitrios K. Nasiopoulos, et al.
Published: (2025-05-01)

Fine-tuned PhoBERT for sentiment analysis of Vietnamese phone reviews
by: Tan Minh Ngo, et al.
Published: (2024-10-01)

Fine-tuned PhoBERT for sentiment analysis of Vietnamese phone reviews
by: Tan Minh Ngo, et al.
Published: (2024-10-01)

Fine-grained flood disaster information extraction incorporating multiple semantic features
by: Shunli Wang, et al.
Published: (2025-08-01)

Deep Multiple Instance Learning Model to Predict Outcome of Pancreatic Cancer Following Surgery
by: Caroline Truntzer, et al.
Published: (2024-12-01)

Prediction of virus-host associations using protein language models and multiple instance learning.
by: Dan Liu, et al.
Published: (2024-11-01)

Fine-Grained Network Traffic Identification Based on Tilera Platform
by: Shun Wu, et al.
Published: (2013-11-01)

A Scale-Aware and Discriminative Feature Learning Network for Fine-Grained Rigid Object Recognition
by: Yangte Gao, et al.
Published: (2025-01-01)

Learning the fine-grained code representation for log-level prediction
by: Zhiyong Zhao, et al.
Published: (2025-05-01)

Prompt-based fine-tuning with multilingual transformers for language-independent sentiment analysis
by: Faizad Ullah, et al.
Published: (2025-07-01)

A Self-Paced Multiple Instance Learning Framework for Weakly Supervised Video Anomaly Detection
by: Ping He, et al.
Published: (2025-01-01)

Controlled-SAM and Context Promoting Network for Fine-Grained Semantic Segmentation
by: Jinglin Zhang, et al.
Published: (2025-01-01)

Hierarchical Feature Attention Learning Network for Detecting Object and Discriminative Parts in Fine-Grained Visual Classification
by: A. Yeong Han, et al.
Published: (2025-01-01)

Data Augmentation With Flickering Backgrounds and Instances for Instance Segmentation
by: Kisu Lee, et al.
Published: (2025-01-01)

Fine-Tuned Attribute Weighted Naïve Bayes with Modified Partial Instances Reduction for Gaming Disorder Classification
by: Anastasya Latubessy, et al.
Published: (2025-03-01)

Deep learning based fine-grained recognition technology for basketball movements
by: Lin Zhang
Published: (2024-12-01)

Pedestrian Re-Identification Based on Fine-Grained Feature Learning and Fusion
by: Anming Chen, et al.
Published: (2024-11-01)

Compression Index Regression of Fine-Grained Soils with Machine Learning Algorithms
by: Mintae Kim, et al.
Published: (2024-09-01)

Discourse Constraints for Document Compression
by: James Clarke, et al.
Published: (2021-03-01)

Modeling Local Coherence: An Entity-Based Approach
by: Regina Barzilay, et al.
Published: (2021-03-01)

Semi-Supervised Semantic Role Labeling via Structural Alignment
by: Hagen Fürstenau, et al.
Published: (2021-03-01)

Using the Web to Obtain Frequencies for Unseen Bigrams
by: Frank Keller, et al.
Published: (2021-03-01)

Verb Class Disambiguation Using Informative Priors
by: Mirella Lapata, et al.
Published: (2021-03-01)

Dependency-Based Construction of Semantic Space Models
by: Sebastian Padó, et al.
Published: (2021-03-01)