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Found 5 papers, 2 papers with code
An Analysis of Attention in German Verbal Idiom Disambiguation
In this paper we examine a BiLSTM architecture for disambiguating verbal potentially idiomatic expressions (PIEs) as to whether they are used in a literal or an idiomatic reading with respect to explainability of its decisions.
Supervised Disambiguation of German Verbal Idioms with a BiLSTM Architecture
Supervised disambiguation of verbal idioms (VID) poses special demands on the quality and quantity of the annotated data used for learning and evaluation.
A Neural Graph-based Approach to Verbal MWE Identification
We propose to tackle the problem of verbal multiword expression (VMWE) identification using a neural graph parsing-based approach.
Mumpitz at PARSEME Shared Task 2018: A Bidirectional LSTM for the Identification of Verbal Multiword Expressions
We submitted results for seven languages in the closed track of the task and for one language in the open track.
Literal or idiomatic? Identifying the reading of single occurrences of German multiword expressions using word embeddings
Non-compositional multiword expressions (MWEs) still pose serious issues for a variety of natural language processing tasks and their ubiquity makes it impossible to get around methods which automatically identify these kind of MWEs.
