Multi-modal knowledge graphs (MMKGs) combine different modal data (e.g.,...
Information extraction (IE) has been studied extensively. The existing
m...
Constructing commonsense knowledge graphs (CKGs) has attracted wide rese...
To adapt text summarization to the multilingual world, previous work pro...
Taxonomy is formulated as directed acyclic concepts graphs or trees that...
Recently, the emergence of ChatGPT has attracted wide attention from the...
Given a document in a source language, cross-lingual summarization (CLS)...
Given a document in a source language, cross-lingual summarization (CLS)...
Cross-Lingual Summarization (CLS) aims at generating summaries in one
la...
Entity typing aims to assign types to the entity mentions in given texts...
Grounding dialogue system with external knowledge is a promising way to
...
Cross-lingual summarization is the task of generating a summary in one
l...
Simile interpretation is a crucial task in natural language processing.
...
Recent years have witnessed the resurgence of knowledge engineering whic...
We present ClidSum, a benchmark dataset for building cross-lingual
summa...
Story ending generation is an interesting and challenging task, which ai...
Sports game summarization aims at generating sports news from live
comme...
Sports game summarization aims to generate news articles from live text
...
We discuss a novel task, Chorus Recognition, which could potentially ben...
It has been an important task for recommender systems to suggest satisfy...
Next Point-of-Interest (POI) recommendation is of great value for both
l...