论文标题
ECSP：情绪原因跨度对提取和分类的新任务
ECSP: A New Task for Emotion-Cause Span-Pair Extraction and Classification
论文作者
论文摘要
情绪原因分析（例如情绪导致提取（ECE）和情绪原因对提取（ECPE））逐渐吸引了许多研究人员的注意。但是，现有研究中仍然存在两个缺点：1）在大多数情况下，情感表达和原因不是整个条款，而是该条款中的跨度，因此提取条款对，而不是跨度对极大地限制了其在现实情况下的应用； 2）在不识别情绪类别的情况下提取情绪表达条款是不够的，情绪条款的存在并不一定要明确传达情绪信息，这是由于不同的可能原因。在本文中，我们提出了一项新任务：情感原因跨度对提取和分类（ECSP），旨在提取文档中的情感和相应原因的潜在跨度，并为每对进行情感分类。在新的ECSP任务中，ECE和ECPE可以被视为条款级别的两个特殊情况。我们提出了一个基于跨度的提取物 - 然后分类（ETC）模型，其中在目标跨度边界的监督下，直接提取情感和原因从文档中提取并配对，然后使用其配对表示和局部上下文对相应的类别进行分类。实验表明，我们提出的ETC模型分别优于ECE和ECPE任务的SOTA模型，并在ECSP任务上获得公平的结果。
Emotion cause analysis such as emotion cause extraction (ECE) and emotion-cause pair extraction (ECPE) have gradually attracted the attention of many researchers. However, there are still two shortcomings in the existing research: 1) In most cases, emotion expression and cause are not the whole clause, but the span in the clause, so extracting the clause-pair rather than the span-pair greatly limits its applications in real-world scenarios; 2) It is not enough to extract the emotion expression clause without identifying the emotion categories, the presence of emotion clause does not necessarily convey emotional information explicitly due to different possible causes. In this paper, we propose a new task: Emotion-Cause Span-Pair extraction and classification (ECSP), which aims to extract the potential span-pair of emotion and corresponding causes in a document, and make emotion classification for each pair. In the new ECSP task, ECE and ECPE can be regarded as two special cases at the clause-level. We propose a span-based extract-then-classify (ETC) model, where emotion and cause are directly extracted and paired from the document under the supervision of target span boundaries, and corresponding categories are then classified using their pair representations and localized context. Experiments show that our proposed ETC model outperforms the SOTA model of ECE and ECPE task respectively and gets a fair-enough results on ECSP task.
