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06/15/2023
Multilingual End to End Entity Linking
Entity Linking is one of the most common Natural Language Processing tas...
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05/23/2023
Language Models with Rationality
While large language models (LLMs) are proficient at question-answering ...
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05/20/2023
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages
The NLP community has mainly focused on scaling Large Language Models (L...
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05/19/2023
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings
Entity linking methods based on dense retrieval are an efficient and wid...
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07/28/2022
Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions
Large amounts of training data are one of the major reasons for the high...
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05/25/2022
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing
Existing work on Entity Linking mostly assumes that the reference knowle...
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10/10/2021
Language Models As or For Knowledge Bases
Pre-trained language models (LMs) have recently gained attention for the...
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09/29/2021
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief
Although pretrained language models (PTLMs) contain significant amounts ...
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04/16/2021
Enriching a Model's Notion of Belief using a Persistent Memory
Although pretrained language models (PTLMs) have been shown to contain s...
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04/14/2021
Static Embeddings as Efficient Knowledge Bases?
Recent research investigates factual knowledge stored in large pretraine...
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02/01/2021
Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models
Recently, it has been found that monolingual English language models can...
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06/22/2020
Dirichlet-Smoothed Word Embeddings for Low-Resource Settings
Nowadays, classical count-based word embeddings using positive pointwise...
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06/18/2020
Pre-trained Language Models as Symbolic Reasoners over Knowledge?
How can pre-trained language models (PLMs) learn factual knowledge from ...
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05/02/2020
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA
Khandelwal et al. (2020) show that a k-nearest-neighbor (kNN) component ...
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11/08/2019
