Pre-trained Language Models (PLMs) which are trained on large text corpus via self-
supervised learning method, have yielded promising performance on various tasks in …

Semantic representation is receiving growing attention in NLP in the past few years, and
many proposals for semantic schemes (eg, AMR, UCCA, GMB, UDS) have been put forth …

Over the past ten years, we have worked in a collaboration between educators and
computer scientists at the University of Illinois to imagine futures for education in the context …

The CoNLL-2012 shared task involved predicting coreference in English, Chinese, and
Arabic, using the final version, v5. 0, of the OntoNotes corpus. It was a follow-on to the …

Verbs play a critical role in the meaning of sentences, but these ubiquitous words have
received little attention in recent distributional semantics research. We introduce SimVerb …

Most previous event extraction studies have relied heavily on features derived from
annotated event mentions, thus cannot be applied to new event types without annotation …

This paper presents PATTY: a large resource for textual patterns that denote binary relations
between entities. The patterns are semantically typed and organized into a subsumption …

The lexicon of any natural language encodes a huge number of distinct word meanings. Just
to understand this article, you will need to know what thousands of words mean. The space …

The CoNLL-2011 shared task involved predicting coreference using OntoNotes data.
Resources in this field have tended to be limited to noun phrase coreference, often on a …

This book is aimed at providing an overview of several aspects of semantic role labeling.
Chapter 1 begins with linguistic background on the definition of semantic roles and the …