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Found 6 papers, 2 papers with code
A Graph Convolution Network-based System for Technical Domain Identification
This paper presents the IITKGP contribution at the Technical DOmain Identification (TechDOfication) shared task at ICON 2020.
Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies
Employing a chain-of-thought (COT) approach augmented with rationale in few-shot in-context learning, we assess whether this method enhances sentiment prediction accuracy.
Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models
In today's media landscape, where news outlets play a pivotal role in shaping public opinion, it is imperative to address the issue of sentiment manipulation within news text.
'If you build they will come': Automatic Identification of News-Stakeholders to detect Party Preference in News Coverage
In contrast, the anti-government news agencies would focus more on the views of the opponent stakeholders to inform the readers about the shortcomings of government policies.
PESE: Event Structure Extraction using Pointer Network based Encoder-Decoder Architecture
The task of event extraction (EE) aims to find the events and event-related argument information from the text and represent them in a structured format.
