In the NLP community, recent years have seen a surge of research activities that address
machines' ability to perform deep language understanding which goes beyond what is …

Event detection (ED), which means identifying event trigger words and classifying event
types, is the first and most fundamental step for extracting event knowledge from plain text …

We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …

We propose a new formulation for multilingual entity linking, where language-specific
mentions resolve to a language-agnostic Knowledge Base. We train a dual encoder in this …

In this survey, we provide an overview of the literature on knowledge graphs (KGs) in the
context of information retrieval (IR). Modern IR systems can benefit from information …

We present a large-scale collection of diverse natural language inference (NLI) datasets that
help provide insight into how well a sentence representation captures distinct types of …

There have been a wide range of recent annotated corpora concerning events, either
regarding event coreference, the temporal order of events, hierarchical “subevent” structure …

The diverse relationships among real-world events, including coreference, temporal, causal,
and subevent relations, are fundamental to understanding natural languages. However, two …

In this article, we describe a system that reads news articles in four different languages and
detects what happened, who is involved, where and when. This event-centric information is …

We present a multilingual Named Entity Recognition approach based on a robust and
general set of features across languages and datasets. Our system combines shallow local …