Search Results for author: Nicholas Popovic

Found 4 papers, 3 papers with code

AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities

1 code implementation • SemEval (NAACL) 2022 • Nicholas Popovic, Walter Laurito, Michael Färber

In this paper, we present an end-to-end joint entity and relation extraction approach based on transformer-based language models.

Joint Entity and Relation Extraction Math +2

Paper
Code

Vocab-Expander: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings

no code implementations • 7 Aug 2023 • Michael Färber, Nicholas Popovic

In this paper, we propose Vocab-Expander at https://vocab-expander. com, an online tool that enables end-users (e. g., technology scouts) to create and expand a vocabulary of their domain of interest.

Common Sense Reasoning Information Retrieval +3

Paper
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Few-Shot Document-Level Relation Extraction

1 code implementation • NAACL 2022 • Nicholas Popovic, Michael Färber

We present FREDo, a few-shot document-level relation extraction (FSDLRE) benchmark.

Ranked #1 on Few-Shot Relation Classification on FREDo (cross-domain)

Document-level Relation Extraction Domain Adaptation +3

Paper
Code

AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First -- Using Relation Extraction to Identify Entities

1 code implementation • 10 Mar 2022 • Nicholas Popovic, Walter Laurito, Michael Färber

In this paper, we present an end-to-end joint entity and relation extraction approach based on transformer-based language models.

Ranked #2 on Joint Entity and Relation Extraction on SemEval-2022 Task-12

Joint Entity and Relation Extraction Math +2

Paper
Code

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