In agricultural image analysis, optimal model performance is keenly pursued for better
fulfilling visual recognition tasks (eg, image classification, segmentation, object detection …

A discourse containing one or more sentences describes daily issues and events for people
to communicate their thoughts and opinions. As sentences are normally consist of multiple …

Implicit discourse relation recognition is a challenging task as the relation prediction without
explicit connectives in discourse parsing needs understanding of text spans and cannot be …

We present a novel multi-task attention based neural network model to address implicit
discourse relationship representation and identification through two types of representation …

Implicit Discourse Relation Recognition (IDRR) is a sophisticated and challenging task to
recognize the discourse relations between the arguments with the absence of discourse …

Understanding discourse structures of news articles is vital to effectively contextualize the
occurrence of a news event. To enable computational modeling of news structures, we apply …

Implicit discourse relation classification is of great challenge due to the lack of connectives
as strong linguistic cues, which motivates the use of annotated implicit connectives to …

Implicit discourse relation classification is one of the most difficult parts in shallow discourse
parsing as the relation prediction without explicit connectives requires the language …

We argue that semantic meanings of a sentence or clause can not be interpreted
independently from the rest of a paragraph, or independently from all discourse relations …

Conversational Machine Reading (CMR) aims at answering questions in a complicated
manner. Machine needs to answer questions through interactions with users based on given …