A convolutional neural network for modelling sentences
N Kalchbrenner, E Grefenstette, P Blunsom - ar** text to knowledge graph entities using multi-sense LSTMs
D Kartsaklis, MT Pilehvar, N Collier - ar** natural language text to knowledge base
entities. The map** process is approached as a composition of a phrase or a sentence …
entities. The map** process is approached as a composition of a phrase or a sentence …
Quantum algorithms for compositional natural language processing
We propose a new application of quantum computing to the field of natural language
processing. Ongoing work in this field attempts to incorporate grammatical structure into …
processing. Ongoing work in this field attempts to incorporate grammatical structure into …
Evaluating neural word representations in tensor-based compositional settings
We provide a comparative study between neural word representations and traditional vector
spaces based on co-occurrence counts, in a number of compositional tasks. We use three …
spaces based on co-occurrence counts, in a number of compositional tasks. We use three …
The mathematics of text structure
B Coecke - Joachim Lambek: The Interplay of Mathematics, Logic …, 2021 - Springer
In previous work we gave a mathematical foundation, referred to as DisCoCat, for how
words interact in a sentence in order to produce the meaning of that sentence. To do so, we …
words interact in a sentence in order to produce the meaning of that sentence. To do so, we …