activity
20152022
most citedSemEval-2021 Task 11: NLPContributionGraph -- Structuring Scholarly NLP Contributions for a Research Knowledge Graph

29 citations · 112 across the 29 of their papers we have counts for

collaborators
Showing cs.CLShow all

6 papers · 1 filter

cs.CL2021

Automated Mining of Leaderboards for Empirical AI Research

Salomon Kabongo, Jennifer D'Souza, Sören Auer

With the rapid growth of research publications, empowering scientists to keep oversight over the scientific progress is of paramount importance. In this regard, the Leaderboards fa…

cs.CL202129 cited

SemEval-2021 Task 11: NLPContributionGraph -- Structuring Scholarly NLP Contributions for a Research Knowledge Graph

Jennifer D'Souza, Sören Auer, Ted Pedersen

There is currently a gap between the natural language expression of scholarly publications and their structured semantic content modeling to enable intelligent content search. With…

cs.CL2021

Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines

Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker +2

In the last decade, a large number of Knowledge Graph (KG) information extraction approaches were proposed. Albeit effective, these efforts are disjoint, and their collective stren…

cs.CL20209 cited

NLPContributions: An Annotation Scheme for Machine Reading of Scholarly Contributions in Natural Language Processing Literature

Jennifer D'Souza, Sören Auer

We describe an annotation initiative to capture the scholarly contributions in natural language processing (NLP) articles, particularly, for the articles that discuss machine learn…

cs.CL2019

Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity Linking

Isaiah Onando Mulang, Kuldeep Singh, Akhilesh Vyas +4

The collaborative knowledge graphs such as Wikidata excessively rely on the crowd to author the information. Since the crowd is not bound to a standard protocol for assigning entit…

cs.CL20171 cited

Use of Knowledge Graph in Rescoring the N-Best List in Automatic Speech Recognition

Ashwini Jaya Kumar, Camilo Morales, Maria-Esther Vidal +2

With the evolution of neural network based methods, automatic speech recognition (ASR) field has been advanced to a level where building an application with speech interface is a r…