16 citations · 25 across the 6 of their papers we have counts for
12 papers · 1 filter
Multilingual End to End Entity Linking
Mikhail Plekhanov, Nora Kassner, Kashyap Popat +5
Entity Linking is one of the most common Natural Language Processing tasks in practical applications, but so far efficient end-to-end solutions with multilingual coverage have been…
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing
Nora Kassner, Fabio Petroni, Mikhail Plekhanov +2
Existing work on Entity Linking mostly assumes that the reference knowledge base is complete, and therefore all mentions can be linked. In practice this is hardly ever the case, as…
Language Models As or For Knowledge Bases
Simon Razniewski, Andrew Yates, Nora Kassner +1
Pre-trained language models (LMs) have recently gained attention for their potential as an alternative to (or proxy for) explicit knowledge bases (KBs). In this position paper, we…
BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief
Nora Kassner, Oyvind Tafjord, Hinrich Schütze +1
Although pretrained language models (PTLMs) contain significant amounts of world knowledge, they can still produce inconsistent answers to questions when probed, even after special…
Static Embeddings as Efficient Knowledge Bases?
Philipp Dufter, Nora Kassner, Hinrich Schütze
Recent research investigates factual knowledge stored in large pretrained language models (PLMs). Instead of structural knowledge base (KB) queries, masked sentences such as "Paris…
Enriching a Model's Notion of Belief using a Persistent Memory
Nora Kassner, Oyvind Tafjord, Hinrich Schutze +1
Although pretrained language models (PTLMs) have been shown to contain significant amounts of world knowledge, they can still produce inconsistent answers to questions when probed,…