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Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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Semantic Aspects in Sentiment Analysis
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Desirability vs. feasibility: a research through design inquiry of explainable AI
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Aspect-based sentiment analysis by knowledge and attention integrated graph convolutional network
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A self-organized sentence processing theory of gradience: The case of islands
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Source sentence simplification for statistical machine translation
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Analysis of sentiment in tweets addressed to a single domain-specific Twitter account: Comparison of model performance and explainability of predictions
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Knowledge guided distance supervision for biomedical relation extraction in Chinese electronic medical records
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Context-aware incremental clustering of alerts in monitoring systems
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WordTransABSA: Enhancing Aspect-based Sentiment Analysis with masked language modeling for affective token prediction
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Adaptive deep learning for entity disambiguation via knowledge-based risk analysis
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Graph Augmentation Networks Based on Dynamic Sentiment Knowledge and Static External Knowledge Graphs for aspect-based sentiment analysis
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Aspect-based sentiment analysis with multi-granularity information mining and sentiment hint
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FITE-GAT: Enhancing aspect-level sentiment classification with FT-RoBERTa induced trees and graph attention network
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Textual analysis of teaching–learning evaluations in higher education: Deep learning and lexical investigation approaches
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Graph convolutional network based on self-attention variational autoencoder and capsule contrastive learning for aspect-based sentiment analysis
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Annotation error detection in painstakingly annotated data: Part-of-speech tagging as a case study
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Directional monotonicity of multidimensional fusion functions with respect to admissible orders
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Quality of word and concept embeddings in targetted biomedical domains
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Are metrics measuring what they should? An evaluation of Image Captioning task metrics
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Convolution–deconvolution word embedding: An end-to-end multi-prototype fusion embedding method for natural language processing
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Feature distillation network for aspect-based sentiment analysis
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Aspect-level sentiment analysis: A survey of graph convolutional network methods
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DRGAT: Dual-relational graph attention networks for aspect-based sentiment classification
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Knowledge empowered prominent aspect extraction from product reviews
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Graph-based Arabic text semantic representation
inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102360openalex-snapshot
Misogyny Detection in Twitter: a Multilingual and Cross-Domain Study
inferred← citeshttps://doi.org/10.1016/j.ipm.2022.102925openalex-snapshot
Learning interpretable word embeddings via bidirectional alignment of dimensions with semantic concepts
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103462openalex-snapshot
A prompt model with combined semantic refinement for aspect sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103630openalex-snapshot
Flexibly utilizing syntactic knowledge in aspect-based sentiment analysis
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Less is more: Pruning BERTweet architecture in Twitter sentiment analysis
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Detecting vulnerabilities in IoT software: New hybrid model and comprehensive data analysis
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Offensive language identification in dravidian languages using MPNet and CNN
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Leveraging Arabic sentiment classification using an enhanced CNN-LSTM approach and effective Arabic text preparation
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SDEGCN: Syntactic dependency enhanced and integrated graph convolutional network for aspect-based sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.jtrangeo.2023.103606openalex-snapshot
Spatiotemporal analysis of bike mobility chain: A new perspective on mobility pattern discovery in urban bike-sharing system
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Knowledge base population using semantic label propagation
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Aspect-based sentiment analysis with gated alternate neural network
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Cross-sentence N-ary relation classification using LSTMs on graph and sequence structures
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A self-regulated generative adversarial network for stock price movement prediction based on the historical price and tweets
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Research on non-dependent aspect-level sentiment analysis
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An aspect sentiment classification model for graph attention networks incorporating syntactic, semantic, and knowledge
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DG Embeddings: The unsupervised definition embeddings learned from dictionary and glossary to gloss context words of Cloze task
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Harnessing domain insights: A prompt knowledge tuning method for aspect-based sentiment analysis
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CABiLSTM-BERT: Aspect-based sentiment analysis model based on deep implicit feature extraction
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Data-driven interpretation of dimensions in an embedding language model based on a reference knowledge graph
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Sentiment analysis using web scraping for live news data with machine learning algorithms
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Bidirectional LSTM with self-attention mechanism and multi-channel features for sentiment classification
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.01.019openalex-snapshot
Residual attention and other aspects module for aspect-based sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.05.078openalex-snapshot
Incorporating explicit syntactic dependency for aspect level sentiment classification
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Aspect-based sentiment analysis with component focusing multi-head co-attention networks
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Graph convolutional network with multiple weight mechanisms for aspect-based sentiment analysis
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Neural architectures for aggregating sequence labels from multiple annotators
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Machine learning and deep learning for sentiment analysis across languages: A survey
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Enhancing aspect-based sentiment analysis with linking words-guided emotional augmentation and hybrid learning
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TemPrompt: Multi-task prompt learning for temporal relation extraction in RAG-based crowdsourcing systems
inferred← citeshttps://doi.org/10.1016/j.neunet.2020.11.019openalex-snapshot
Quantum-inspired canonical correlation analysis for exponentially large dimensional data
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Genetic data visualization using literature text-based neural networks: Examples associated with myocardial infarction
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Aspect-based sentiment analysis based on multi-granularity graph convolutional network
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A novel span and syntax enhanced large language model based framework for fine-grained sentiment analysis
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Gender prediction with descriptive textual data using a Machine Learning approach
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Understanding latent affective bias in large pre-trained neural language models
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Automatic language ability assessment method based on natural language processing
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Masking domain-specific information for cross-domain deception detection
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Task-specific dependency-based word embedding methods
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Synwmd: Syntax-aware word Mover’s distance for sentence similarity evaluation
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A systematic survey of natural language processing for the Greek language
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Constructions and Compositionality
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Deep Learning‐Based Automated Segmentation of Layered Crater Ejecta on Mars
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Learning Representation From Concurrence-Words Graph For Aspect Sentiment Classification
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EECSA: Enhancing Textual Sentiment Analysis through Emotion-Enriched Contextual Integration and Self-Adaptive Prompting Optimization
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SCAN:Syntactic Knowledge and Commonsense Knowledge Adapter Based Network for Aspect-level Sentiment Classification
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GVQA: Learning to Answer Questions about Graphs with Visualizations via Knowledge Base
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Aspect-sited hybrid graph neural networks for sentiment classification
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Aspect-level Sentiment Analysis Based on Feature Enhancement and GCN
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EnML: Multi-label Ensemble Learning for Urdu Text Classification
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Avaliação de representações embeddings para similaridade sentencial no Português
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Aspect extraction in sentiment analysis for portuguese language
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Learning Lexical Subspaces in a Distributional Vector Space
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METODOLOGIAS PARA CARACTERIZAÇÃO E DETECÇÃO DA DESCRIÇÃO DE EMOÇÃO NA LÍNGUA PORTUGUESA
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LLM- Based Personalized Recommendations in Health
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Cross-Language Fake News Detection
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