1 code implementation • ACL 2018 • Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, Adam Hammond
In this paper, we propose a joint architecture that captures language, rhyme and meter for sonnet modelling.
no code implementations • WS 2018 • Francisco Rangel, Paolo Rosso, Julian Brooke, Alex Uitdenbogerd, ra
In this paper, we approach the task of native language identification in a realistic cross-corpus scenario where a model is trained with available data and has to predict the native language from data of a different corpus.
no code implementations • WS 2017 • Viet Nguyen, Julian Brooke, Timothy Baldwin
In East Asian languages such as Japanese and Chinese, the semantics of a character are (somewhat) reflected in its sub-character elements.
1 code implementation • WS 2017 • King Chan, Julian Brooke, Timothy Baldwin
This paper presents a methodology for identifying and resolving various kinds of inconsistency in the context of merging dependency and multiword expression (MWE) annotations, to generate a dependency treebank with comprehensive MWE annotations.
no code implementations • TACL 2017 • Julian Brooke, Jan {\v{S}}najder, Timothy Baldwin
We present a new model for acquiring comprehensive multiword lexicons from large corpora based on competition among n-gram candidates.
no code implementations • LREC 2012 • Julian Brooke, Graeme Hirst
The task of native language (L1) identification suffers from a relative paucity of useful training corpora, and standard within-corpus evaluation is often problematic due to topic bias.