A survey of implicit discourse relation recognition
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 …
to communicate their thoughts and opinions. As sentences are normally consist of multiple …
Where to start? analyzing the potential value of intermediate models
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 …
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
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 …
services provided. Hotels and other hospitabilty outlets such as restaurants enlist user …
Parsing and encoding interactive phrase structure for implicit discourse relation recognition
Implicit discourse relation recognition (IDRR) is to detect and classify relation sense
between two text segments without an explicit connective. Existing neural network models …
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
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 …
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 …
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 …
Meta-learning in NLP has also shown great progress, including subset masked language …