Coreference resolution aims at resolving repeated references to an object in a document
and forms a core component of natural language processing (NLP) research. When used as …

Single-task models have proven pivotal in solving specific tasks; however, they have
limitations in real-world applications where multi-tasking is necessary and domain shifts are …

Syntactic and semantic parsing has been investigated for decades, which is one primary
topic in the natural language processing community. This article aims for a brief survey on …

The paper presents the design and implementation of the BioNLP'09 Shared Task, and
reports the final results with analysis. The shared task consists of three sub-tasks, each of …

Abstract Background Advanced Text Mining (TM) such as semantic enrichment of papers,
event or relation extraction, and intelligent Question Answering have increasingly attracted …

We revisit domain adaptation for parsers in the neural era. First we show that recent
advances in word representations greatly diminish the need for domain adaptation when the …

Abstract The 2019 Shared Task at the Conference for Computational Language Learning
(CoNLL) was devoted to Meaning Representation Parsing (MRP) across frameworks. Five …

Corpora with specific entities and relationships annotated are essential to train and evaluate
text-mining systems that are developed to extract specific structured information from a large …

Background Since their introduction in 2009, the BioNLP Shared Task events have been
instrumental in advancing the development of methods and resources for the automatic …

Current statistical parsers tend to perform well only on their training domain and nearby
genres. While strong performance on a few related domains is sufficient for many situations …