Search Results for author: Chris Madge

Found 3 papers, 1 papers with code

Large Language Models as Minecraft Agents

no code implementations13 Feb 2024 Chris Madge, Massimo Poesio

In this work we examine the use of Large Language Models (LLMs) in the challenging setting of acting as a Minecraft agent.

Crowdsourcing and Aggregating Nested Markable Annotations

1 code implementation ACL 2019 Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun, Massimo Poesio

One of the key steps in language resource creation is the identification of the text segments to be annotated, or markables, which depending on the task may vary from nominal chunks for named entity resolution to (potentially nested) noun phrases in coreference resolution (or mentions) to larger text segments in text segmentation.

coreference-resolution Entity Resolution +1

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