Emotion Cause Extraction Field (ECEF) focuses on the cause that triggers an emotion in a
document. Traditional ECEF aims to extract the cause based on a given emotion while …

Emotion-cause pair extraction (ECPE) is an emerging task aiming to extract potential pairs of
emotions and corresponding causes from documents. Previous approaches have focused …

Abstract Electronic Medical Record (EMR) has been widely utilized in disease prevention,
clinical diagnosis and scientific research. EMR mining based on Named Entity Recognition …

Abstract Machine reading comprehension is introduced to improve machines' readability
and understandability of human languages. This sophisticated version of natural language …

With the rapid development of machine learning, challenging question and answer datasets
have also emerged, and the machine reading comprehension technology has emerged …

Emotion-Cause Pair Extraction (ECPE) aims to extract emotion clauses and their
corresponding cause clauses from text. This technique is helpful for understanding the …

In this paper, we report the investigation of leveraging a reading comprehension model
based on BERT for sentence classification in scientific abstracts. Our idea is to reformulate …

情緒原因組合提取(Emotion-cause pair extraction, ECPE) 旨在從文本中同時提取情緒與其對應
的原因, 然而, 先前研究只著重在所提取的情緒和原因是否成對, 卻未判定情緒的種類為何; …

Emotion-cause pair extraction (ECPE) main focus is on extracting all potential emotion
clauses and corresponding cause clauses from unannotated documents. Existing methods …

Abstract Emotion-Cause Pair Extraction (ECPE) is a crucial task in sentiment analysis,
aiming to analyze emotions expressed in text and their underlying causes in a reasonable …