Datasets that pair Knowledge Graphs (KG) and text together (KG-T) can be...
Applications of large open-domain knowledge graphs (KGs) to real-world
p...
During a public health crisis like the COVID-19 pandemic, a credible and...
Open Information Extraction (OpenIE) has been used in the pipelines of
v...
Semantic role labeling (SRL) identifies the predicate-argument structure...
Text classification can be useful in many real-world scenarios, saving a...
We propose a probabilistic approach to select a subset of a target
domai...
Entity linking (EL), the task of disambiguating mentions in text by link...
Table extraction from PDF and image documents is a ubiquitous task in th...
Knowledge base question answering (KBQA) is an important task in Natural...
Deep neural models achieve some of the best results for semantic role
la...
Semantic role labeling (SRL) identifies predicate-argument structure(s) ...
Structured representations of entity names are useful for many entity-re...
Split and Rephrase is a text simplification task of rewriting a complex
...
The COVID-19 Open Research Dataset (CORD-19) is a growing resource of
sc...
While the role of humans is increasingly recognized in machine learning
...
Entity resolution (ER) is the task of identifying different representati...
A critical challenge in constructing a natural language interface to dat...