Many natural language processing (NLP) tasks appear in dual forms, which are generally
solved by dual learning technique that models the dualities between the coupled tasks. In …

So far, aspect-based sentiment analysis (ABSA) has involved with total seven subtasks, in
which, however the interactions among them have been left unexplored sufficiently. This …

Relation Extraction (RE) is a fundamental task of information extraction, which has attracted
a large amount of research attention. Previous studies focus on extracting the relations …

It has been a hot research topic to enable machines to understand human emotions in
multimodal contexts under dialogue scenarios, which is tasked with multimodal emotion …

Identifying temporal and subevent relationships between different events (ie, event relation
extraction) is an important step towards event-centric natural language processing, which …

Aspect-based sentiment analysis (ABSA) aims at automatically inferring the specific
sentiment polarities toward certain aspects of products or services behind the social media …

Event extraction (EE) is an essential task of information extraction, which aims to extract
structured event information from unstructured text. Most prior work focuses on extracting flat …

Unpaired cross-lingual image captioning has long suffered from irrelevancy and disfluency
issues, due to the inconsistencies of the semantic scene and syntax attributes during …

Aspect-based sentiment triplet extraction (ASTE) aims at recognizing the joint triplets from
texts, ie, aspect terms, opinion expressions, and correlated sentiment polarities. As a newly …

This paper focuses on extracting temporal and parent–child relationships between news
events in social news. Previous methods have proved that syntactic features are valid …