Organized relational knowledge in the form of “knowledge graphs” is important for many
applications. However, the ability to populate knowledge bases with facts automatically …

We focus on knowledge base construction (KBC) from richly formatted data. In contrast to
KBC from text or tabular data, KBC from richly formatted data aims to extract relations …

Reading comprehension models answer questions posed in natural language when
provided with a short passage of text. They present an opportunity to address a long …

Professional news media organizations have always touted the importance that they give to
multiple perspectives. However, in practice, the traditional approach to all-sides has favored …

TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction Page 1 TinkerBell: Cross-lingual
Cold-Start Knowledge Base Construction Mohamed Al-Badrashiny1, Jason Bolton5, Arun …

Abstract Knowledge Base Population (KBP) is an important problem in Semantic Web
research and a key requirement for successful adoption of semantic technologies in many …

In this work, we focus on the task of open-type relation argument extraction (ORAE): given a
corpus, a query entity Q, and a knowledge base relation (eg,“Q authored notable work with …

Abstract Knowledge bases store structured information about entities or concepts of the
world and can be used in various applications, such as information retrieval or question …

Ensembling methods are well known for improving prediction accuracy. However, they are
limited in the sense that they cannot discriminate among component models effectively. In …

Relation extraction is an important information extraction task that must be solved in order to
transform data into Knowledge Graph (KG), as semantic relations between entities form KG …