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TREMA-UNH at CAR 2019.

, , , , and . TREC, volume 1250 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2019)

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Entity Embeddings for Entity Ranking: A Replicability Study., and . ECIR (3), volume 13982 of Lecture Notes in Computer Science, page 117-131. Springer, (2023)Which entities are relevant for the story?, and . Text2Story@ECIR, volume 2860 of CEUR Workshop Proceedings, page 41-48. CEUR-WS.org, (2021)Identify Relevant Entities Through Text Understanding.. CIKM, page 5124-5127. ACM, (2022)TREMA-UNH at CAR 2019., , , , and . TREC, volume 1250 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2019)Wikimarks: Harvesting Relevance Benchmarks from Wikipedia., , , , , and . SIGIR, page 3003-3012. ACM, (2022)