WSDM‘2022: Knowledge Enhanced Sports Game Summarization

Overview

Knowledge Enhanced Sports Game Summarization

Cooming Soon! :)

Data will be released after approval process.

Code will be published once the author of this repo has time.

Existing Works

Paper Conference/Journal Data/Code Category
Towards Constructing Sports News from Live Text Commentary ACL 2016 - Dataset, Ext.
Overview of the NLPCC-ICCPOL 2016 Shared Task: Sports News Generation from Live Webcast Scripts NLPCC 2016 NLPCC 2016 shared task Dataset
Research on Summary Sentences Extraction Oriented to Live Sports Text NLPCC 2016 - Ext.
Sports News Generation from Live Webcast Scripts Based on Rules and Templates NLPCC 2016 - Ext.+Temp.
Content Selection for Real-time Sports News Construction from Commentary Texts INLG 2017 - Ext.
Generate Football News from Live Webcast Scripts Based on Character-CNN with Five Strokes 2020 - Ext.+Temp.
Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization AACL 2020 SportsSum Dataset, Ext.+Abs.
SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary CIKM 2021 SportsSum2.0 Dataset, Ext.+Abs.
Knowledge Enhanced Sports Game Summarization WSDM 2022 K-SportsSum Dataset, Ext.+Abs.

The concepts used in Category are illustrated as follows:

  • Dataset: The work contributes a dataset for sports game summarization.
  • Ext.: Extractive sports game summarization method.
  • Ext.+Temp.: The method first extracts important commentary sentence and further utilize the human-labeled template to convey each commentary sentence to a news sentence.
  • Ext.+Abs.: The method first extracts important commentary sentence and further utilize the seq2seq model to convey each commentary sentence to the news sentence.
Owner
Jiaan Wang
NLP Master Student. Research Intern at WeChat AI. Mainly interested in Text Summarization and Machine Reading Comprehension. ZD YYDS.
Jiaan Wang
Official Implement of CVPR 2021 paper “Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting”

RGBT Crowd Counting Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin. "Cross-Modal Collaborative Representation Learning and a L

37 Dec 08, 2022
Official code for "Stereo Waterdrop Removal with Row-wise Dilated Attention (IROS2021)"

Stereo-Waterdrop-Removal-with-Row-wise-Dilated-Attention This repository includes official codes for "Stereo Waterdrop Removal with Row-wise Dilated A

29 Oct 01, 2022
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Yihui He 1k Jan 03, 2023
Extracting knowledge graphs from language models as a diagnostic benchmark of model performance.

Interpreting Language Models Through Knowledge Graph Extraction Idea: How do we interpret what a language model learns at various stages of training?

EPFL Machine Learning and Optimization Laboratory 9 Oct 25, 2022
Saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

Saliency Methods 🔴 Now framework-agnostic! (Example core notebook) 🔴 🔗 For further explanation of the methods and more examples of the resulting ma

PAIR code 849 Dec 27, 2022
Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio.

English | 简体中文 | 繁體中文 | 한국어 State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrained models

Clara Meister 50 Nov 12, 2022
Finetuner allows one to tune the weights of any deep neural network for better embeddings on search tasks

Finetuner allows one to tune the weights of any deep neural network for better embeddings on search tasks

Jina AI 794 Dec 31, 2022
공공장소에서 눈만 돌리면 CCTV가 보인다는 말이 과언이 아닐 정도로 CCTV가 우리 생활에 깊숙이 자리 잡았습니다.

ObsCare_Main 소개 공공장소에서 눈만 돌리면 CCTV가 보인다는 말이 과언이 아닐 정도로 CCTV가 우리 생활에 깊숙이 자리 잡았습니다. CCTV의 대수가 급격히 늘어나면서 관리와 효율성 문제와 더불어, 곳곳에 설치된 CCTV를 개별 관제하는 것으로는 응급 상

5 Jul 07, 2022
An end-to-end implementation of intent prediction with Metaflow and other cool tools

You Don't Need a Bigger Boat An end-to-end (Metaflow-based) implementation of an intent prediction flow for kids who can't MLOps good and wanna learn

Jacopo Tagliabue 614 Dec 31, 2022
ReferFormer - Official Implementation of ReferFormer

The official implementation of the paper: Language as Queries for Referring Vide

Jonas Wu 232 Dec 29, 2022
Circuit Training: An open-source framework for generating chip floor plans with distributed deep reinforcement learning

Circuit Training: An open-source framework for generating chip floor plans with distributed deep reinforcement learning. Circuit Training is an open-s

Google Research 479 Dec 25, 2022
The repo contains the code of the ACL2020 paper `Dice Loss for Data-imbalanced NLP Tasks`

Dice Loss for NLP Tasks This repository contains code for Dice Loss for Data-imbalanced NLP Tasks at ACL2020. Setup Install Package Dependencies The c

223 Dec 17, 2022
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data

LiDAR-MOS: Moving Object Segmentation in 3D LiDAR Data This repo contains the code for our paper: Moving Object Segmentation in 3D LiDAR Data: A Learn

Photogrammetry & Robotics Bonn 394 Dec 29, 2022
Adaptation through prediction: multisensory active inference torque control

Adaptation through prediction: multisensory active inference torque control Submitted to IEEE Transactions on Cognitive and Developmental Systems Abst

Cristian Meo 1 Nov 07, 2022
Learn other languages ​​using artificial intelligence with python.

The main idea of ​​the project is to facilitate the learning of other languages. We created a simple AI that will interact with you. Just ask questions that if she knows, she will answer.

Pedro Rodrigues 2 Jun 07, 2022
Official PyTorch implementation of Data-free Knowledge Distillation for Object Detection, WACV 2021.

Introduction This repository is the official PyTorch implementation of Data-free Knowledge Distillation for Object Detection, WACV 2021. Data-free Kno

NVIDIA Research Projects 50 Jan 05, 2023
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm

Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetu

3 Dec 05, 2022
The Multi-Mission Maximum Likelihood framework (3ML)

PyPi Conda The Multi-Mission Maximum Likelihood framework (3ML) A framework for multi-wavelength/multi-messenger analysis for astronomy/astrophysics.

The Multi-Mission Maximum Likelihood (3ML) 62 Dec 30, 2022
All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.

Data Structures and Algorithms Python INDEX 1. Resources - Books Data Structures - Reema Thareja competitiveCoding Big-O Cheat Sheet DAA Syllabus Inte

Shushrut Kumar 129 Dec 15, 2022
Ἀνατομή is a PyTorch library to analyze representation of neural networks

Ἀνατομή is a PyTorch library to analyze representation of neural networks

Ryuichiro Hataya 50 Dec 05, 2022