Nora Kassner | DeepAI

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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...

0 Mikhail Plekhanov, et al. ∙

∙ 05/23/2023

Language Models with Rationality

While large language models (LLMs) are proficient at question-answering ...

0 Nora Kassner, et al. ∙

∙ 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...

7 Ayyoob ImaniGooghari, et al. ∙

∙ 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...

0 Mattia Atzeni, et al. ∙

∙ 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...

0 Yanai Elazar, et al. ∙

∙ 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...

0 Nora Kassner, et al. ∙

∙ 10/10/2021

Language Models As or For Knowledge Bases

Pre-trained language models (LMs) have recently gained attention for the...

23 Simon Razniewski, et al. ∙

∙ 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 ...

0 Nora Kassner, et al. ∙

∙ 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...

0 Nora Kassner, et al. ∙

∙ 04/14/2021

Static Embeddings as Efficient Knowledge Bases?

Recent research investigates factual knowledge stored in large pretraine...

0 Philipp Dufter, et al. ∙

∙ 02/01/2021

Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models

Recently, it has been found that monolingual English language models can...

0 Nora Kassner, et al. ∙

∙ 06/22/2020

Dirichlet-Smoothed Word Embeddings for Low-Resource Settings

Nowadays, classical count-based word embeddings using positive pointwise...

0 Jakob Jungmaier, et al. ∙

∙ 06/18/2020

Pre-trained Language Models as Symbolic Reasoners over Knowledge?

How can pre-trained language models (PLMs) learn factual knowledge from ...

0 Nora Kassner, et al. ∙

∙ 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 ...

0 Nora Kassner, et al. ∙

∙ 11/08/2019

Negated LAMA: Birds cannot fly

Pretrained language models have achieved remarkable improvements in a br...

0 Nora Kassner, et al. ∙

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