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 …

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

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 …

Most previous studies on Structured Sentiment Analysis (SSA) have cast it as a problem of bi-
lexical dependency parsing, which cannot address issues of overlap and discontinuity …

Event extraction (EE) is a crucial task aiming at extracting events from texts, which includes
two subtasks: event detection (ED) and event argument extraction (EAE). In this paper, we …

Event extraction in the biomedical domain has many complex situations, such as nested
events, overlapping events, and multiple processing streams. For the problem of massive …

Unsupervised keyphrase extraction (UKE) aims to detect out a set of keyphrases of a
document without using any annotation signal for training the UKE model. Existing UKE …

Abstract Question Answering over Knowledge Graphs (KGQA) blends natural language
processing with structured knowledge representation. While much attention of existing …

We propose a graph-based event extraction framework JSEEGraph that approaches the
task of event extraction as general graph parsing in the tradition of Meaning Representation …

Abstract Comparative Opinion Quintuple Extraction (COQE) is an emerging task focused on
identifying comparative relationships within sentence-level comments. COQE involves …