Abstract Aspect-based Sentiment Analysis (ABSA) is a crucial natural language
understanding (NLU) research field which aims to accurately recognize reviewers' opinions …

Abstract Knowledge Graph Question Answering (KGQA) aims to answer user-questions from
a knowledge graph (KG) by identifying the reasoning relations between topic entity and …

While a large number of knowledge graphs have previously been developed by
automatically extracting and structuring knowledge from literature, there is currently no such …

With the abundant amount of available online and offline text data, there arises a crucial
need to extract the relation between phrases and summarize the main content of each …

Expression-level information extraction is a challenging task in natural language processing
(NLP), which aims to retrieve crucial semantic information from linguistic documents …

Extracting valuable insights from vast amounts of unstructured digital text presents
significant challenges across diverse domains. This research addresses this challenge by …

The end-to-end aspect-based social comment sentiment analysis (E2E-ABSA) task aims to
discover human's fine-grained sentimental polarity, which can be refined to determine the …

Relation extraction independently verifies all entity pairs in a sentence to identify predefined
relationships between named entities. Because these entity pairs share the same contextual …

Relation extraction is a key task in Natural Language Processing (NLP), which aims to
extract relations between entity pairs from given texts. Recently, relation extraction (RE) has …

Certain categories in multi-category biomedical relationship extraction have linguistic
similarities to some extent. Keywords related to categories and syntax structures of samples …