Multi-Domain Aspect Extraction Using Bidirectional Encoder Representations From Transformers
IEEE Access, 2021 Deep learning and neural language models have obtained state-of-the-art results in aspects extraction tasks, in which the objective is to automatically extract characteristics of products and services that are the target of consumer opinion.
Brucce Neves Dos Santos +2 more
doaj +2 more sources
Ensemble BiLSTM: A Novel Approach for Aspect Extraction From Online Text
IEEE AccessAspect extraction poses a significant challenge in Natural Language Processing (NLP). Extracting explicit and implicit aspects from online text data remains an ongoing challenge despite significant research efforts.
Mikail Muhammad Azman Busst +4 more
doaj +2 more sources
Unsupervised Neural Aspect Extraction with Sememes [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Aspect extraction relies on identifying aspects by discovering coherence among words, which is challenging when word meanings are diversified and processing on short texts. To enhance the performance on aspect extraction, leveraging lexical semantic resources is a possible solution to such challenge.
Xiang Ao +6 more
openaire +3 more sources
Integration of Multi-Branch GCNs Enhancing Aspect Sentiment Triplet Extraction [PDF]
Applied Sciences, 2023 Aspect Sentiment Triplet Extraction (ASTE) is a complex and challenging task in Natural Language Processing (NLP). It aims to extract the triplet of aspect term, opinion term, and their associated sentiment polarity, which is a more fine-grained study in
Xuefeng Shi +5 more
doaj +2 more sources
Aspect Term Extraction Based on MFE-CRF [PDF]
Information, 2018 This paper is focused on aspect term extraction in aspect-based sentiment analysis (ABSA), which is one of the hot spots in natural language processing (NLP).
Yanmin Xiang, Hongye He, Jin Zheng
doaj +3 more sources
Lifelong Learning CRF for Supervised Aspect Extraction [PDF]
Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 2: Short Papers), 2017 Accepted at ACL 2017.
Bing Liu, Hu Xu, Lei Shu
openaire +5 more sources
Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Wenya Wang +3 more
exaly +3 more sources
Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations [PDF]
arXiv.org, 2023 Existing aspect extraction methods mostly rely on explicit or ground truth aspect information, or using data mining or machine learning approaches to extract aspects from implicit user feedback such as user reviews.
Pan Li +3 more
semanticscholar +1 more source
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs [PDF]
International Conference on Information and Knowledge Management, 2022 The extraction of aspect terms is a critical step in fine-grained sentiment analysis of text. Existing approaches for this task have yielded impressive results when the training and testing data are from the same domain.
Phillip Howard +7 more
semanticscholar +1 more source
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 The rise of pre-trained language models has yielded substantial progress in the vast majority of Natural Language Processing (NLP) tasks. However, a generic approach towards the pre-training procedure can naturally be sub-optimal in some cases ...
Entony Lekhtman +2 more
semanticscholar +1 more source