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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 Compositional Approaches for Representing Relations Between Words: A Comparative Study ... Hakami, Huda; Bollegala, Danushka. - : arXiv, 2017 Abstract: Identifying the relations that exist between words (or entities) is important for various natural language processing tasks such as, relational search, noun-modifier classification and analogy detection. A popular approach to represent the relations between a pair of words is to extract the patterns in which the words co-occur with from a corpus, and assign each word-pair a vector of pattern frequencies. Despite the simplicity of this approach, it suffers from data sparseness, information scalability and linguistic creativity as the model is unable to handle previously unseen word pairs in a corpus. In contrast, a compositional approach for representing relations between words overcomes these issues by using the attributes of each individual word to indirectly compose a representation for the common relations that hold between the two words. This study aims to compare different operations for creating relation representations from word-level representations. We investigate the performance of the ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1709.01193 https://arxiv.org/abs/1709.01193 BASE Hide details 2 Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words ... Bollegala, Danushka; Hayashi, Kohei; Kawarabayashi, Ken-ichi. - : arXiv, 2017 BASE Show details 3 Learning Neural Word Salience Scores ... Samardzhiev, Krasen; Gargett, Andrew; Bollegala, Danushka. - : arXiv, 2017 BASE Show details

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