Contextualizing Trending Entities in News Stories

Author:

Ponza Marco1,Ceccarelli Diego1,Ferragina Paolo2,Meij Edgar1,Kothari Sambhav1

Affiliation:

1. Bloomberg, London, United Kingdom

2. University of Pisa, Pisa, Italy

Funder

EU H2020 Projects: SoBigData-PlusPlus

HumanE AI Net

Publisher

ACM

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. From Text to Context: An Entailment Approach for News Stakeholder Classification;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. Conversational Search with Random Walks over Entity Graphs;Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval;2023-08-09

3. Neuro-Symbolic Representations for Information Retrieval;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

4. ECIR 23 Tutorial: Neuro-Symbolic Approaches for Information Retrieval;Lecture Notes in Computer Science;2023

5. Semantic Knowledge Graphs for the News: A Review;ACM Computing Surveys;2022-12-15

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