Papers with binary entity retrieval task
TweetTER: A Benchmark for Target Entity Retrieval on Twitter without Knowledge Bases (2024.lrec-main)
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| Challenge: | Entity linking is a well-established task in NLP consisting of associating entity mentions with entries in a knowledge base. |
| Approach: | They propose a benchmark that reframes entity linking as a binary entity retrieval task and uses a knowledge base to evaluate model performance. |
| Outcome: | The proposed benchmark aims to bridge the challenges in entity linking in noisy domains such as social media. |