Cross-lingual summarization is the task of generating a summary in one language (eg,
English) for the given document (s) in a different language (eg, Chinese). Under the …

Cross-Lingual Summarization (CLS) aims at generating summaries in one language for the
given documents in another language. CLS has attracted wide research attention due to its …

Soccer is one of the most popular sports globally, and the amount of soccer-related content
worldwide, including video footage, audio commentary, team/player statistics, scores, and …

Social media plays a significant role for sports organizations with millions of active fans, but
publishing highlights is often a tedious manual operation. With the development of AI, new …

Multi-modal knowledge graphs (MMKGs) combine different modal data (eg, text and image)
for a comprehensive understanding of entities. Despite the recent progress of large-scale …

Multimodal Large Language Models (MLLMs) are advancing the ability to reason about
complex sports scenarios by integrating textual and visual information. To comprehensively …

Abstract Pre-trained Language Models (PLMs) are the cornerstone of the modern Natural
Language Processing (NLP). However, as PLMs become heavier, fine tuning all their …

This paper introduces SoccerSum, a novel dataset aimed at enhancing object detection and
segmentation in video frames depicting the soccer pitch, using footage from the Norwegian …

Recent integration of Natural Language Processing (NLP) and multimodal models has
advanced the field of sports analytics. This survey presents a comprehensive review of the …

Grounding dialogue system with external knowledge is a promising way to improve the
quality of responses. Most existing works adopt knowledge graphs (KGs) as the external …