Papers by Maja Buljan

2 papers
Lexical Substitution for Evaluating Compositional Distributional Models (N18-2)

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Challenge: Compositional Distributional Semantic Models (CDSMs) model the meaning of phrases and sentences in vector space.
Approach: They propose to use lexical substitution to evaluate CDSMs by comparing a LexSub-annotated corpus with a manual LexSub annotation.
Outcome: The proposed model outperforms simple component-wise CDSMs and performs on par with the context2vec LexSub model using the same context.
A Tale of Three Parsers: Towards Diagnostic Evaluation for Meaning Representation Parsing (2020.lrec-1)

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Challenge: Empirical results suggest that the proposed methodology can be meaningfully applied to parsing into graph-structured target representations, uncovering hitherto unknown properties of the different approaches.
Approach: They propose to map from natural language utterances to graph-based encodings of its semantic structure using contrastive and diagnostic evaluation techniques.
Outcome: The proposed method can be meaningfully applied to parsing into graph-structured target representations, uncovering hitherto unknown properties of the different systems that can inform future development and cross-fertilization across approaches.

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