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06/19/2023
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models
Natural Language Inference (NLI) tasks involving temporal inference rema...
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06/15/2023
Propagating Knowledge Updates to LMs Through Distillation
Modern language models have the capacity to store and use immense amount...
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05/02/2023
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge
Pre-trained language models (LMs) are used for knowledge intensive tasks...
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12/03/2022
Intermediate Entity-based Sparse Interpretable Representation Learning
Interpretable entity representations (IERs) are sparse embeddings that a...
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05/05/2022
Entity Cloze By Date: What LMs Know About Unseen Entities
Language models (LMs) are typically trained once on a large-scale corpus...
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12/13/2021
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection
Knowledge-Based Visual Question Answering (KBVQA) is a bi-modal task req...
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10/15/2021
Cross-Lingual Fine-Grained Entity Typing
The growth of cross-lingual pre-trained models has enabled NLP tools to ...
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09/03/2021
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge
Most benchmark datasets targeting commonsense reasoning focus on everyda...
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06/17/2021
Biomedical Interpretable Entity Representations
Pre-trained language models induce dense entity representations that off...
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01/02/2021
Modeling Fine-Grained Entity Types with Box Embeddings
Neural entity typing models typically represent entity types as vectors ...
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04/30/2020
Interpretable Entity Representations through Large-Scale Typing
In standard methodology for natural language processing, entities in tex...
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09/12/2019
Fine-Grained Entity Typing for Domain Independent Entity Linking
Neural entity linking models are very powerful, but run the risk of over...
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05/04/2019