Entity resolution is the task of disambiguating records that refer to th...
Large public knowledge graphs, like Wikidata, contain billions of statem...
Controlled table-to-text generation seeks to generate natural language
d...
Embedding methods have demonstrated robust performance on the task of li...
Language models (LMs) show state of the art performance for common sense...
Tables provide valuable knowledge that can be used to verify textual
sta...
Entity resolution is the task of identifying records in different datase...
While the similarity between two concept words has been evaluated and st...
Wikidata has been increasingly adopted by many communities for a wide va...
The task of natural language table retrieval (NLTR) seeks to retrieve
se...
The task of identifying and reasoning with circumstantial preconditions
...
Commonsense knowledge is essential for many AI applications, including t...
Sources of commonsense knowledge aim to support applications in natural
...
Wikidata and Wikipedia have been proven useful for reason-ing in natural...
Commonsense reasoning is an important aspect of building robust AI syste...
Knowledge graphs (KGs) have become the preferred technology for represen...
Commonsense question answering (QA) requires the modeling of general
bac...
Recently, there has been a surge of interest in learning representation ...
There are hundreds of millions of tables in Web pages that contain usefu...
In this paper, we describe and study the indicator mining problem in the...
Extracting geographical tags from webpages is a well-motivated applicati...
We propose a supervised algorithm for generating type embeddings in the ...
Extracting useful entities and attribute values from illicit domains suc...
Information sources such as relational databases, spreadsheets, XML, JSO...
Problem: This paper addresses the design of an intelligent software syst...