target-oriented opinion words extraction

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (8 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction
  17 Aug 2022 1 repository listed
  Limited labeled data increase the risk of distribution shift between test data and training data.
• Training Entire-Space Models for Target-oriented Opinion Words Extraction
  15 Apr 2022 1 repository listed
  Moreover, the performance of these models on the first type of instance cannot reflect their performance on entire space.
• An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction
  2 Sep 2021 1 repository listed
  Target-oriented opinion words extraction (TOWE) (Fan et al., 2019b) is a new subtask of target-oriented sentiment analysis that aims to extract opinion words for a given aspect in text.
• Target-specified Sequence Labeling with Multi-head Self-attention for Target-oriented Opinion Words Extraction
  1 Jun 2021 1 repository listed
  Many recent works on ABSA focus on Target-oriented Opinion Words (or Terms) Extraction (TOWE), which aims at extracting the corresponding opinion words for a given opinion target.
• Attention-based Relational Graph Convolutional Network for Target-Oriented Opinion Words Extraction
  1 Apr 2021 1 repository listed
  It aims to extract the corresponding opinion words for a given opinion target in a review sentence.
• Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction
  7 Jan 2020 1 repository listed
  In this paper, we propose a novel model to transfer these opinions knowledge from resource-rich review sentiment classification datasets to low-resource task TOWE.
• Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling
  1 Jun 2019 1 repository listed
  In this paper, we propose a novel sequence labeling subtask for ABSA named TOWE (Target-oriented Opinion Words Extraction), which aims at extracting the corresponding opinion words for a given opinion target.