P Liang, C Potts - Annu. Rev. Linguist., 2015 - annualreviews.org
Computational semantics has long been considered a field divided between logical and statistical approaches, but this divide is rapidly eroding with the development of statistical …
M Baroni, R Bernardi, R Zamparelli - Linguistic Issues in language …, 2014 - iris.unitn.it
The lexicon of any natural language encodes a huge number of distinct word meanings. Just to understand this article, you will need to know what thousands of words mean. The space …
A Garg, M Agarwal - arXiv preprint arXiv:1901.01122, 2018 - arxiv.org
Machine translation (MT) plays an important role in benefiting linguists, sociologists, computer scientists, etc. by processing natural language to translate it into some other …
Modelling compositional meaning for sentences using empirical distributional methods has been a challenge for computational linguists. We implement the abstract categorical model …
S Clark - The Handbook of Contemporary semantic theory, 2015 - Wiley Online Library
This chapter describes how vector space models have been used for document retrieval. These document‐based models represent the meaning, or topic, of a whole document. It …
This work is concerned with distinguishing different semantic relations which exist between distributionally similar words. We compare a novel approach based on training a linear …
The compositionality of meaning extends beyond the single sentence. Just as words combine to form the meaning of sentences, so do sentences combine to form the meaning of …
M Lewis, M Steedman - Transactions of the Association for …, 2013 - direct.mit.edu
We introduce a new approach to semantics which combines the benefits of distributional and formal logical semantics. Distributional models have been successful in modelling the …
Tree-structured recursive neural networks (TreeRNNs) for sentence meaning have been successful for many applications, but it remains an open question whether the fixed-length …