The use of deep pre-trained bidirectional transformers has led to remarkable progress in a
number of applications (Devlin et al., 2018). For tasks that make pairwise comparisons …

Classifying semantic relations between entity pairs in sentences is an important task in
natural language processing (NLP). Most previous models applied to relation classification …

End-to-end aspect-based sentiment analysis (EASA) consists of two sub-tasks: the first
extracts the aspect terms in a sentence and the second predicts the sentiment polarities for …

The context-dependent nature of online aggression makes annotating large collections of
data extremely difficult. Previously studied datasets in abusive language detection have …

Abuse on the Internet represents an important societal problem of our time. Millions of
Internet users face harassment, racism, personal attacks, and other types of abuse on online …

Community question answering (CQA) gains increasing popularity in both academy and
industry recently. However, the redundancy and lengthiness issues of crowdsourced …

Constituency parsing is a fundamental and important task for natural language
understanding, where a good representation of contextual information can help this task. N …

Dialogue Topic Segmentation (DTS) plays an essential role in a variety of dialogue
modeling tasks. Previous DTS methods either focus on semantic similarity or dialogue …

In this paper, we propose an interactive matching network (IMN) for the multi-turn response
selection task. First, IMN constructs word representations from three aspects to address the …

Most recent studies for relation extraction (RE) leverage the dependency tree of the input
sentence to incorporate syntax-driven contextual information to improve model performance …