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A deep understanding of sports, a field rich in strategic and dynamic content, is crucial for advancing Natural Language Processing (NLP).
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
Earlier work this paper cites.
Sentiment analysis of textual comments in field of sport
Adela Ljajić, Ertan Ljajić, Petar Spalević, Branko Arsić, and Darko Vučković. 2015 · 2015
Earlier work this paper cites.
Quasar: Datasets for question answering by search and reading
Bhuwan Dhingra, Kathryn Mazaitis, and William W. Cohen. 2017 · 2017
Earlier work this paper cites.
TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension
Mandar Joshi, Eunsol Choi, Daniel Weld, and Luke Zettlemoyer. 2017 · 2017
Earlier work this paper cites.
The web as a knowledge-base for answering complex questions
Alon Talmor and Jonathan Berant. 2018 · 2018
Earlier work this paper cites.
HotpotQA: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William Cohen, Ruslan Salakhutdinov, and Christopher D. Manning. 2018 · 2018
Earlier work this paper cites.
BoolQ: Exploring the surprising difficulty of natural yes/no questions
Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Generating sports news from live commentary: A chinese dataset for sports game summarization
Kuan-Hao Huang, Chen Li, and Kai-Wei Chang. 2020 · 2020
Earlier work this paper cites.
Liveqa: A question answering dataset over sports live
Qianying Liu, Sicong Jiang, Yizhong Wang, and Sujian Li. 2020 · 2020
Earlier work this paper cites.
Predicting in-game actions from interviews of nba players
Nadav Oved, Amir Feder, and Roi Reichart. 2020 · 2020
Earlier work this paper cites.
Sportsett: basketball-a robust and maintainable data-set for natural language generation
Craig Thomson, Ehud Reiter, and Somayajulu Sripada. 2020 · 2020
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Combining machine learning and human experts to predict match outcomes in football: A baseline model
Ryan Beal, Stuart E Middleton, Timothy J Norman, and Sarvapali D Ramchurn. 2021 · 2021
Cited alongside, same era.
Empirical quantitative analysis of covid-19 forecasting models
Yun Zhao, Yuqing Wang, Junfeng Liu, Haotian Xia, Zhenni Xu, Qinghang Hong, Zhiyang Zhou, and Linda Petzold. 2021 · 2021
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KQA pro: A dataset with explicit compositional programs for complex question answering over knowledge base
Shulin Cao, Jiaxin Shi, Liangming Pan, Lunyiu Nie, Yutong Xiang, Lei Hou, Juanzi Li, Bin He, and Hanwang Zhang. 2022 · 2022
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Sporthesia: Augmenting sports videos using natural language
Zhutian Chen, Qisen Yang, Xiao Xie, Johanna Beyer, Haijun Xia, Yingcai Wu, and Hanspeter Pfister. 2022 · 2022
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Universal information extraction with meta-pretrained self-retrieval
Xin Cong, Bowen Yu, Mengcheng Fang, Tingwen Liu, Haiyang Yu, Zhongkai Hu, Fei Huang, Yongbin Li, and Bin Wang. 2023 · 2023
Later among the works it cites.
Is GPT-3 a good data annotator?
Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, and Lidong Bing. 2023 · 2023
Later among the works it cites.
Reasoning implicit sentiment with chain-of-thought prompting
Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, and Tat-Seng Chua. 2023 · 2023
Later among the works it cites.
Qasports: A question answering dataset about sports
Pedro Calciolari Jardim, Leonardo Mauro Pereira Moraes, and Cristina Dutra Aguiar. 2023 · 2023
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Few-shot in-context learning on knowledge base question answering
Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, and Wenhu Chen. 2023 · 2023
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Large language models are zero-shot reasoners
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Chain-of-thought prompting elicits reasoning in large language models
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Vren: Volleyball rally dataset with expression notation language
Haotian Xia, Rhys Tracy, Yun Zhao, Erwan Fraisse, Yuan-Fang Wang, and Linda Petzold. 2022 · 2022
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Rohan Anil, Andrew M Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, et al. 2023 · 2023
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Deep learning model based on a transformers network for sentiment analysis using nlp in sports worldwide
Luis Baca, Nátali Ardiles, Jose Cruz, Wilson Mamani, and John Capcha. 2023 · 2023
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Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
BIG bench authors. 2023 · 2023
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2022a
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Llama 2: Open foundation and fine-tuned chat models
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Rhys Tracy, Haotian Xia, Alex Rasla, Yuan-Fang Wang, and Ambuj Singh. 2023 · 2023
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Metacognitive prompting improves understanding in large language models
Yuqing Wang and Yun Zhao. 2023 · 2023
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L Griffiths, Yuan Cao, and Karthik Narasimhan. 2023 · 2023
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Verify-and-edit: A knowledge-enhanced chain-of-thought framework
Ruochen Zhao, Xingxuan Li, Shafiq Joty, Chengwei Qin, and Lidong Bing. 2023 · 2023
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