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Much work on idioms has focused on type identification, i.e., determining whether a sequence of words can form an idiomatic expression. Since an idiom type often has a literal interpretation as well, token classification of potential idioms in context is critical for NLP. We explore the use of informative prior knowledge about the overall syntactic(More)
We apply topic modelling to automatically induce word senses of a target word, and demonstrate that our word sense induction method can be used to automatically detect words with emergent novel senses, as well as token occurrences of those senses. We start by exploring the utility of standard topic models for word sense induction (WSI), with a predetermined(More)
Microblog normalisation methods often utilise complex models and struggle to differentiate between correctly-spelled unknown words and lexical variants of known words. In this paper, we propose a method for constructing a dictionary of lexical variants of known words that facilitates lexical normalisation via simple string substitution (e.g. tomorrow for(More)
Idiomatic expressions are plentiful in everyday language, yet they remain mysterious, as it is not clear exactly how people learn and understand them. They are of special interest to linguists, psycholinguists, and lexicographers, mainly because of their syntactic and semantic idiosyncrasies as well as their unclear lexical status. Despite a great deal of(More)
This paper presents the first attempt to use word embeddings to predict the composition-ality of multiword expressions. We consider both single-and multi-prototype word em-beddings. Experimental results show that, in combination with a back-off method based on string similarity, word embeddings out-perform a method using count-based distribu-tional(More)
Idiomatic expressions formed from a verb and a noun in its direct object position are a productive cross-lingual class of multiword expressions, which can be used both idiomatically and as a literal combination. This paper presents the VNC-Tokens dataset, a resource of almost 3000 English verb–noun combination usages annotated as to whether they are literal(More)
The Discriminating between Similar Languages (DSL) shared task at VarDial challenged participants to build an automatic language identification system to discriminate between 13 languages in 6 groups of highly-similar languages (or national varieties of the same language). In this paper, we describe the submissions made by team UniMelb-NLP, which took part(More)