no code implementations • GWC 2018 • John P. McCrae, Ian Wood, Amanda Hicks
Princeton WordNet is one of the most widely-used resources for natural language processing, but is updated only infrequently and cannot keep up with the fast-changing usage of the English language on social media platforms such as Twitter.
1 code implementation • 6 Apr 2023 • Conor Atkins, Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Ian Wood, Mohamed Ali Kaafar
We generate 150 examples of misinformation, of which 114 (76%) were remembered by BlenderBot 2 when combined with a personal statement.
1 code implementation • ACL 2021 • YuFei Wang, Ian Wood, Stephen Wan, Mark Dras, Mark Johnson
In this paper, we propose Mention Flags (MF), which traces whether lexical constraints are satisfied in the generated outputs in an S2S decoder.
1 code implementation • NAACL 2021 • Ian Wood, Mark Johnson, Stephen Wan
OpenKi[1] addresses this task through extraction of named entities and predicates via OpenIE tools then learning relation embeddings from the resulting entity-relation graph for relation prediction, outperforming previous approaches.
no code implementations • WS 2017 • Vladimir Andryushechkin, Ian Wood, James O{'} Neill
This paper describes the entry NUIG in the WASSA 2017 (8th Workshop on Computational Approaches to Subjectivity, Sentiment {\&} Social Media Analysis) shared task on emotion recognition.