|
|
|
|
|
Jie Huang, Yunpeng Cui and Shuo Wang
Aspect-based sentiment analysis is a fine-grained sentiment analysis task that consists of two types of subtasks: aspect term extraction and aspect sentiment classification. In the aspect term extraction task, current methods suffer from the lack of fine...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhihao Zhou, Tianwei Yue, Chen Liang, Xiaoyu Bai, Dachi Chen, Congrui Hetang and Wenping Wang
Harnessing commonsense knowledge poses a significant challenge for machine comprehension systems. This paper primarily focuses on incorporating a specific subset of commonsense knowledge, namely, script knowledge. Script knowledge is about sequences of a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Siyuan Du and Hao Wang
State-of-the-art methods for metonymy resolution (MR) consider the sentential context by modeling the entire sentence. However, entity representation, or syntactic structure that are informative may be beneficial for identifying metonymy. Other approache...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiakai Tian, Gang Li, Mingle Zhou, Min Li and Delong Han
Relation extraction is an important task in natural language processing. It plays an integral role in intelligent question-and-answer systems, semantic search, and knowledge graph work. For this task, previous studies have demonstrated the effectiveness ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ho-Min Park and Jae-Hoon Kim
Aspect-based sentiment analysis is a text analysis technique that categorizes data by aspect and identifies the sentiment attributed to each one and a task for a fine-grained sentiment analysis. In order to accurately perform a fine-grained sentiment ana...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yang Chen, Weibing Wan, Jimi Hu, Yuxuan Wang and Bo Huang
At present, there is no uniform definition of annotation schemes for causal extraction, and existing methods are limited by the dependence of relations on long spans, which makes complex sentences such as multi-causal relations and nested causal relation...
ver más
|
|
|
|
|
|
|
|
|
|
|
Giannis Haralabopoulos, Ioannis Anagnostopoulos and Derek McAuley
Sentiment analysis usually refers to the analysis of human-generated content via a polarity filter. Affective computing deals with the exact emotions conveyed through information. Emotional information most frequently cannot be accurately described by a ...
ver más
|
|
|
|
|
|