Papers with short textual description

2 papers
Generating Fine-Grained Open Vocabulary Entity Type Descriptions (P18-1)

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Challenge: Fig. 1 shows an example of a concise entity description presented to a user.
Approach: They propose a dynamic memory-based network that generates a short open vocabulary description of an entity by leveraging induced fact embeddings and dynamic context.
Outcome: The proposed network generates a short open vocabulary description of an entity . it can discern relevant information for more accurate generation of type description .
Scalable Zero-shot Entity Linking with Dense Entity Retrieval (2020.emnlp-main)

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Challenge: Existing methods for entity linking use manually curated mention tables and incoming Wikipedia link popularity.
Approach: They propose a BERT-based entity linking model with a bi-encoder that embeds the mention context and the entity descriptions and then re-ranked the candidate with . they also evaluate the accuracy-speed trade-off inherent to large pre-trained models.
Outcome: The proposed model is state-of-the-art on recent zero-shot benchmarks and established non-zero-shot evaluations.

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