Efficient utilization of pre-trained models: A review of sentiment analysis via prompt learning
K Bu, Y Liu, X Ju - Knowledge-Based Systems, 2024 - Elsevier
Sentiment analysis is one of the traditional well-known tasks in Natural Language
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …
Lasuie: Unifying information extraction with latent adaptive structure-aware generative language model
Universally modeling all typical information extraction tasks (UIE) with one generative
language model (GLM) has revealed great potential by the latest study, where various IE …
language model (GLM) has revealed great potential by the latest study, where various IE …
Layoutllm-t2i: Eliciting layout guidance from llm for text-to-image generation
In the text-to-image generation field, recent remarkable progress in Stable Diffusion makes it
possible to generate rich kinds of novel photorealistic images. However, current models still …
possible to generate rich kinds of novel photorealistic images. However, current models still …
Reasoning implicit sentiment with chain-of-thought prompting
While sentiment analysis systems try to determine the sentiment polarities of given targets
based on the key opinion expressions in input texts, in implicit sentiment analysis (ISA) the …
based on the key opinion expressions in input texts, in implicit sentiment analysis (ISA) the …
Revisiting disentanglement and fusion on modality and context in conversational multimodal emotion recognition
It has been a hot research topic to enable machines to understand human emotions in
multimodal contexts under dialogue scenarios, which is tasked with multimodal emotion …
multimodal contexts under dialogue scenarios, which is tasked with multimodal emotion …
Syntax-based dynamic latent graph for event relation extraction
L Zhuang, H Fei, P Hu - Information Processing & Management, 2023 - Elsevier
This paper focuses on extracting temporal and parent–child relationships between news
events in social news. Previous methods have proved that syntactic features are valid …
events in social news. Previous methods have proved that syntactic features are valid …
Diaasq: A benchmark of conversational aspect-based sentiment quadruple analysis
The rapid development of aspect-based sentiment analysis (ABSA) within recent decades
shows great potential for real-world society. The current ABSA works, however, are mostly …
shows great potential for real-world society. The current ABSA works, however, are mostly …
Constructing holistic spatio-temporal scene graph for video semantic role labeling
As one of the core video semantic understanding tasks, Video Semantic Role Labeling
(VidSRL) aims to detect the salient events from given videos, by recognizing the predict …
(VidSRL) aims to detect the salient events from given videos, by recognizing the predict …
Logic tensor network with massive learned knowledge for aspect-based sentiment analysis
Aspect-based sentiment analysis assists service providers to better understand users'
opinions expressed in massive amounts of online posts, because it automatically infers …
opinions expressed in massive amounts of online posts, because it automatically infers …
USSA: A unified table filling scheme for structured sentiment analysis
Most previous studies on Structured Sentiment Analysis (SSA) have cast it as a problem of bi-
lexical dependency parsing, which cannot address issues of overlap and discontinuity …
lexical dependency parsing, which cannot address issues of overlap and discontinuity …