Polish-ASTE: Aspect-Sentiment Triplet Extraction Datasets for Polish
Aspect-Sentiment Triplet Extraction (ASTE) is one of the most challenging and complex tasks in sentiment analysis. It concerns the construction of triplets that contain an aspect, its associated sentiment polarity, and an opinion phrase that serves as a rationale for the assigned polarity. Despite the growing popularity of the task and the many machine
Lango, Marta +3 more
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A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis [PDF]
We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks.
Ballesteros M. +7 more
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Entity-Aspect-Opinion-Sentiment Quadruple Extraction for Fine-grained Sentiment Analysis
, 2023 Product reviews often contain a large number of implicit aspects and object-attribute co-existence cases. Unfortunately, many existing studies in Aspect-Based Sentiment Analysis (ABSA) have overlooked this issue, which can make it difficult to extract ...
Cao, Xuezhi +4 more
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PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for\n Aspect Sentiment Triplet Extraction [PDF]
, 2021 Rajdeep Mukherjee +4 more
openalex +1 more source
, 2023 Aspect-based sentiment Analysis (ABSA) delves into understanding sentiments specific to distinct elements within textual content. It aims to analyze user-generated reviews to determine a) the target entity being reviewed, b) the high-level aspect to ...
Chebolu, Siva Uday Sampreeth +3 more
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PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction [PDF]
, 2021 Rajdeep Mukherjee +4 more
openalex +1 more source
MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysis
, 2023 Aspect-based sentiment analysis is a long-standing research interest in the field of opinion mining, and in recent years, researchers have gradually shifted their focus from simple ABSA subtasks to end-to-end multi-element ABSA tasks.
Cai, Hongjie +9 more
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CNM: An Interpretable Complex-valued Network for Matching
, 2019 This paper seeks to model human language by the mathematical framework of quantum physics. With the well-designed mathematical formulations in quantum physics, this framework unifies different linguistic units in a single complex-valued vector space, e.g.
Li, Qiuchi +2 more
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Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction [PDF]
Kun Peng +8 more
openalex +2 more sources
Double Policy Network for Aspect Sentiment Triplet Extraction (Student Abstract)
, 2023 Xuting Li +4 more
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