Conundrums in event coreference resolution: Making sense of the state of the art

J Lu, V Ng - Proceedings of the 2021 Conference on Empirical …, 2021 - aclanthology.org
Despite recent promising results on the application of span-based models for event
reference interpretation, there is a lack of understanding of what has been improved. We …

Joint learning for event coreference resolution

J Lu, V Ng - Proceedings of the 55th Annual Meeting of the …, 2017 - aclanthology.org
While joint models have been developed for many NLP tasks, the vast majority of event
coreference resolvers, including the top-performing resolvers competing in the recent TAC …

Event coreference resolution with multi-pass sieves

J Lu, V Ng - Proceedings of the Tenth International Conference on …, 2016 - aclanthology.org
Multi-pass sieve approaches have been successfully applied to entity coreference resolution
and many other tasks in natural language processing (NLP), owing in part to the ease of …

Graph-based decoding for event sequencing and coreference resolution

Z Liu, T Mitamura, E Hovy - arXiv preprint arXiv:1806.05099, 2018 - arxiv.org
Events in text documents are interrelated in complex ways. In this paper, we study two types
of relation: Event Coreference and Event Sequencing. We show that the popular tree-like …

[PDF][PDF] Evaluation algorithms for event nugget detection: A pilot study

Z Liu, T Mitamura, E Hovy - Proceedings of The 3rd Workshop on …, 2015 - aclanthology.org
Event Mention detection is the first step in textual event understanding. Proper evaluation is
important for modern natural language processing tasks. In this paper, we present our …

Event centric approaches in natural language processing

YJ Huang - 2021 - repository.kulib.kyoto-u.ac.jp
Humans use natural language to communicate with others about the events they observe. In
the form of news articles, blog posts, or even tweets, an overwhelmingly large amount of …

[图书][B] Knowledge-Rich Event Coreference Resolution

J Lu - 2021 - search.proquest.com
Abstract Information extraction, a key area of research in Natural Language Processing
(NLP), concerns the extraction of structured information from natural language documents …

[PDF][PDF] Diving Deep into Event Semantics

Z Liu - 2018 - hunterhector.github.io
Among various discourse elements (DEs) in natural language discourse, events are
important due to their rich structure. They are often connected with other DEs, including …