Pathogens manipulate the cellular mechanisms of host organisms via pathogen–host
interactions (PHIs) in order to take advantage of the capabilities of host cells, leading to …

Biomedical relation extraction aims to uncover high‐quality relations from life science
literature with high accuracy and efficiency. Early biomedical relation extraction tasks …

Numerous important events happen everyday and everywhere but are reported in different
media sources with different narrative styles. How to detect whether real-world events have …

The growing demand for structured knowledge has led to great interest in relation extraction,
especially in cases with limited supervision. However, existing distance supervision …

Events and entities are closely related; entities are often actors or participants in events and
events without entities are uncommon. The interpretation of events and entities is highly …

This paper details the coreference resolution system submitted by Stanford at the CoNLL-
2011 shared task. Our system is a collection of deterministic coreference resolution models …

Much recent work suggests that incorporating syntax information from dependency trees can
improve task-specific transformer models. However, the effect of incorporating dependency …

Domain-specific knowledge graphs have emerged as a field unto their own, steadily and
perhaps not so slowly. Graphs have been pervasive in AI for a long period of time, dating …

Structured sentiment analysis attempts to extract full opinion tuples from a text, but over time
this task has been subdivided into smaller and smaller sub-tasks, e, g,, target extraction or …

Biomedical event extraction is critical in understanding biomolecular interactions described
in scientific corpus. One of the main challenges is to identify nested structured events that …