Fish Transporters and Miracle Homes: How Compositional Distributional Semantics can Help NP Parsing
نویسندگان
چکیده
In this work, we argue that measures that have been shown to quantify the degree of semantic plausibility of phrases, as obtained from their compositionally-derived distributional semantic representations, can resolve syntactic ambiguities. We exploit this idea to choose the correct parsing of NPs (e.g., (live fish) transporter rather than live (fish transporter)). We show that our plausibility cues outperform a strong baseline and significantly improve performance when used in combination with state-of-the-art features.
منابع مشابه
Category-theoretic quantitative compositional distributional models of natural language semantics
This thesis is about the problem of compositionality in distributional semantics. Distributional semantics presupposes that the meanings of words are a function of their occurrences in textual contexts. It models words as distributions over these contexts and represents them as vectors in high dimensional spaces. The problem of compositionality for such models concerns itself with how to produc...
متن کاملLinear Compositional Distributional Semantics and Structural Kernels
In this paper, we want to start the analysis of the models for compositional distributional semantics (CDS) with respect to the distributional similarity. We believe that this simple analysis of the properties of the similarity can help to better investigate new CDS models. We show that, looking at CDS models from this point of view, these models are strictly related with convolution kernels (H...
متن کاملCombining Formal and Distributional Models of Temporal and Intensional Semantics
We outline a vision for computational semantics in which formal compositional semantics is combined with a powerful, structured lexical semantics derived from distributional statistics. We consider how existing work (Lewis and Steedman, 2013) could be extended with a much richer lexical semantics using recent techniques for modelling processes (Scaria et al., 2013)—for example, learning that vi...
متن کاملDetecting Learner Errors in the Choice of Content Words Using Compositional Distributional Semantics
We describe a novel approach to error detection in adjective–noun combinations. We present and release a new dataset of annotated errors where the examples are extracted from learner texts and annotated with error types. We show how compositional distributional semantic approaches can be applied to discriminate between correct and incorrect word combinations from learner data. Finally, we show ...
متن کاملA Type-Driven Tensor-Based Semantics for CCG
This paper shows how the tensor-based semantic framework of Coecke et al. can be seamlessly integrated with Combinatory Categorial Grammar (CCG). The integration follows from the observation that tensors are linear maps, and hence can be manipulated using the combinators of CCG, including type-raising and composition. Given the existence of robust, wide-coverage CCG parsers, this opens up the p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013