paper-with-me

홈 › Papers

Analyzing sports commentary in order to automatically recognize events and extract insights

2023-07-18 · Yanis Miraoui

In this paper, we carefully investigate how we can use multiple different Natural Language Processing techniques and methods in order to automatically recognize the main actions in sports events. We aim to extract insights by analyzing live sport commentaries from different sources and by classifying these major actions into different categories. We also study if sentiment analysis could help detect these main actions.

📄 PDF Abstract BibTeX arXiv:2307.10303

Code (2)

yanismiraoui/analyzing-sports-commentary-in-order-to-automatically-recognize-events-and-extract-insights 공식 구현
yanismiraoui/dash-models 공식 구현

Tasks

Sentiment Analysis

Methods 이 논문이 사용한 방법론

Linear Layer A Linear Layer is a projection $\mathbf{XW + b}$.
Class-MLP Class-MLP is an alternative to average pooling, which is an adaptation of the class-attention token introduced in…
Residual Connection 설명 없음
Weight Decay 설명 없음
Attention Dropout Attention Dropout is a type of dropout used in attention-based architectures, where elements are randomly dropped out of the…
Linear Warmup With Linear Decay Linear Warmup With Linear Decay is a learning rate schedule in which we increase the learning rate linearly for $n$ updates and then linearly decay afterwards.
WordPiece 설명 없음
Adam 설명 없음

Similar Papers 제목 키워드 기반

Visualization of Unstructured Sports Data -- An Example of Cricket Short Text Commentary

2024-03-22 · Swarup Ranjan Behera, Vijaya V Saradhi

Sports visualization focuses on the use of structured data, such as box-score data and tracking data. Unstructured data sources pertaining to sports are available in various places such as blogs, social media posts, and …

Articles

BoxComm: Benchmarking Category-Aware Commentary Generation and Narration Rhythm in Boxing

2026-04-06 · Kaiwen Wang, Kaili Zheng, Rongrong Deng, Yiming Shi 외 arxiv

Recent multimodal large language models (MLLMs) have shown strong capabilities in general video understanding, driving growing interest in automatic sports commentary generation. However, existing benchmarks for this tas…

Content Selection for Real-time Sports News Construction from Commentary Texts

2017-09-01 · WS 2017 9 · Jin-Ge Yao, Jianmin Zhang, Xiaojun Wan, Jianguo Xiao

We study the task of constructing sports news report automatically from live commentary and focus on content selection. Rather than receiving every piece of text of a sports match before news construction, as in previous…

Document SummarizationFeature EngineeringLearning-To-RankText Generation

Game-MUG: Multimodal Oriented Game Situation Understanding and Commentary Generation Dataset

2024-04-30 · Zhihao Zhang, Feiqi Cao, Yingbin Mo, Yiran Zhang 외

The dynamic nature of esports makes the situation relatively complicated for average viewers. Esports broadcasting involves game expert casters, but the caster-dependent game commentary is not enough to fully understand …

Time Series

Sentence Punctuation for Collaborative Commentary Generation in Esports Live-Streaming

2021-10-24 · Hong Huang, Junjie H. Xu, Xiaoling Ling, Pujana Paliyawan

To solve the existing sentence punctuation problem for collaborative commentary generation in Esports live-streaming, this paper presents two strategies for sentence punctuation for text sequences of game commentary, tha…

Language ModelingLanguage ModellingSentence