A survey of implicit discourse relation recognition

W **ang, B Wang - ACM Computing Surveys, 2023 - dl.acm.org
A discourse containing one or more sentences describes daily issues and events for people
to communicate their thoughts and opinions. As sentences are normally consist of multiple …

Where to start? analyzing the potential value of intermediate models

L Choshen, E Venezian, S Don-Yehia, N Slonim… - arxiv preprint arxiv …, 2022 - arxiv.org
Previous studies observed that finetuned models may be better base models than the vanilla
pretrained model. Such a model, finetuned on some source dataset, may provide a better …

Discourse analysis based credibility checks to online reviews using deep learning based discourse markers

HM Alawadh, A Alabrah, T Meraj, HT Rauf - Computer Speech & Language, 2023 - Elsevier
E-commerce strongly relies on marketing strategies that utilize user given feedback on
services provided. Hotels and other hospitabilty outlets such as restaurants enlist user …

Parsing and encoding interactive phrase structure for implicit discourse relation recognition

W **ang, S Liu, B Wang - Neural Computing and Applications, 2024 - Springer
Implicit discourse relation recognition (IDRR) is to detect and classify relation sense
between two text segments without an explicit connective. Existing neural network models …

GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains

YJ Liu, T Aoyama, W Scivetti, Y Zhu, S Behzad… - arxiv preprint arxiv …, 2024 - arxiv.org
Work on shallow discourse parsing in English has focused on the Wall Street Journal
corpus, the only large-scale dataset for the language in the PDTB framework. However, the …

Sentiment Analysis of Tibetan Short Texts Based on Graph Neural Network with Keyphrases Integration

J Zhang, H Ren, J Yang, N Qun… - 2024 IEEE 5th …, 2024 - ieeexplore.ieee.org
Sentiment analysis is a core task in the field of natural language processing. Despite
considerable development over time, existing sentiment classification techniques for Tibetan …

[PDF][PDF] Enhancing Sentiment Knowledge via Self-Supervised Meta-Learning

H Kim, S Cho - openreview.net
Few-shot learning and meta-learning have attracted increasing attention in recent years.
Meta-learning in NLP has also shown great progress, including subset masked language …