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20182026
most citedJoint entity recognition and relation extraction as a multi-head selection problem

450 citations · 653 across the 56 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CL2021★ 3 cited

JobBERT: Understanding Job Titles through Skills

Jens-Joris Decorte, Jeroen Van Hautte, Thomas Demeester +1

Job titles form a cornerstone of today's human resources (HR) processes. Within online recruitment, they allow candidates to understand the contents of a vacancy at a glance, while…

cs.CL2021

Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolution

Klim Zaporojets, Johannes Deleu, Yiwei Jiang +2

We consider the task of document-level entity linking (EL), where it is important to make consistent decisions for entity mentions over the full document jointly. We aim to leverag…

cs.CL2021

Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution

Severine Verlinden, Klim Zaporojets, Johannes Deleu +2

We consider a joint information extraction (IE) model, solving named entity recognition, coreference resolution and relation extraction jointly over the whole document. In particul…

cs.CL2021

A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks

Amir Hadifar, Sofie Labat, Véronique Hoste +2

In online domain-specific customer service applications, many companies struggle to deploy advanced NLP models successfully, due to the limited availability of and noise in their d…

cs.CL2021

A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders

Maarten De Raedt, Fréderic Godin, Pieter Buteneers +2

Powerful sentence encoders trained for multiple languages are on the rise. These systems are capable of embedding a wide range of linguistic properties into vector representations.…