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Observation of $B^0_s\to\bar{D}^0 K^0_S$ and evidence for $B^0_s\to\bar{D}^{*0} K^0_S$ decays
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Exploiting Linguistic Knowledge to Infer Properties of Neologisms
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Unsupervised Type and Token Identification of Idiomatic Expression
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In: http://aclweb.org/anthology-new/J/J09/J09-1005.pdf (2009)
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Unsupervised type and token identification of idiomatic expressions
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In: http://www.cs.toronto.edu/%7Esuzanne/papers/FazlyEtAlToAppear.pdf (2009)
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The VNCTokens Dataset
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In: http://www.cs.toronto.edu/~pcook/CFS2008.pdf (2008)
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The VNCTokens Dataset
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In: http://www.cs.toronto.edu/~suzanne/papers/CFS2008.pdf (2008)
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Abstract:
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 or idiomatic. Previous research using this dataset is described, and other studies which could be evaluated more extensively using this resource are identified. 1. Verb–Noun Combinations Identifying multiword expressions (MWEs) in text is essential for accurately performing natural language processing tasks (Sag et al., 2002). A broad class of MWEs with distinct semantic and syntactic properties is that of idiomatic expressions. A productive process of idiom creation across languages is to combine a high frequency verb and one or more of its arguments. In particular, many such idioms are formed from the combination of a verb and a noun in the direct object position (Cowie et al., 1983; Nunberg et al., 1994; Fellbaum, 2002), e.g., give the sack, make a face, and see stars. Given the richness and productivity of the class of idiomatic verb–noun combinations (VNCs), we choose to focus on these expressions. It is a commonly held belief that expressions with an idiomatic interpretation are primarily used idiomatically, and that they lose their literal meanings over time. Nonetheless, it is still possible for a potentially-idiomatic combination to be used in a literal sense, as in: She made a face on the snowman using a carrot and two buttons. Contrast the above literal usage with the idiomatic use in: The little girl made a funny face at her mother. Interestingly, in our analysis of 60 VNCs, we found that approximately half of these expressions are attested fairly frequently in their literal sense in the British National Corpus (BNC). 1 Clearly, automatic methods are required for distinguishing between idiomatic and literal usages of such expressions, and indeed there have recently been several studies addressing this issue
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.161.5953 http://www.cs.toronto.edu/~suzanne/papers/CFS2008.pdf
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Classifying particle semantics in English verb-particle constructions
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In: http://www.cs.toronto.edu/~pcook/CookStevenson2006.pdf (2006)
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Classifying particle semantics in English verb-particle constructions
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In: http://www.aclweb.org/anthology-new/W/W06/W06-1207.pdf (2006)
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Stevenson Automatically Identifying the Source Words of Lexical Blends
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In: http://www.cs.toronto.edu/~suzanne/papers/CookStevensonCL2010.pdf (2004)
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Can cortical auditory evoked responses assist in the audiological management of infants referred with a diagnosis of auditory neuropathy because of atypical auditory responses?
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Automagically Inferring the Source Words of Lexical Blends
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In: http://www.cs.toronto.edu/~suzanne/papers/CookStevenson2007.pdf
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No sentence is too confusing to ignore
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In: http://www.cs.toronto.edu/~suzanne/papers/CookStevenson2010.pdf
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Automatically identifying the source words of lexical blends in English
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In: http://wing.comp.nus.edu.sg/~antho/J/J10/J10-1005.pdf
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Automagically Inferring the Source Words of Lexical Blends
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In: http://hum.csse.unimelb.edu.au/pacling2007/pdf/PACLING200733.pdf
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A Machine Learning Approach to Multiword Expression Extraction
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In: http://www.lrec-conf.org/proceedings/lrec2008/workshops/W20_Proceedings.pdf
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