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Aspect Extraction

Aspect-Based Sentiment Analysis (ABSA) › Aspect Extraction 13 평가 기록 5 datasets

Aspect extraction is the task of identifying and extracting terms relevant for opinion mining and sentiment analysis, for example terms for product attributes or features.

논문

Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction

1805.04601 2018-05-11 이 페이지의 평가 4건

Restaurant (F1): 74.37

Automated Concatenation of Embeddings for Structured Prediction

2010.05006 2020-10-10 이 페이지의 평가 2건

Laptop (F1): 87.4Restaurant (F1): 92.0

Don't Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction

2020-07-01 이 페이지의 평가 2건

Laptop (F1): 82.7Restaurant (F1): 87.1

InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis

2302.08624 2023-02-16 이 페이지의 평가 2건

Laptop (F1): 92.30Mean F1 (Laptop + Restaurant): 92.53Restaurant (F1): 92.76

Adversarial Training for Aspect-Based Sentiment Analysis with BERT

2001.11316 2020-01-30 이 페이지의 평가 1건

Laptop (F1): 85.57Mean F1 (Laptop + Restaurant): 83.54Restaurant (F1): 81.50

Improving BERT Performance for Aspect-Based Sentiment Analysis

2010.11731 2020-10-22 이 페이지의 평가 1건

Laptop (F1): 86.09Mean F1 (Laptop + Restaurant): 84.215Restaurant (F1): 82.34

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews

2012.14541 2020-12-29 이 페이지의 평가 1건

F1: 23