30 citations · 64 across the 6 of their papers we have counts for
11 papers
lambeq: An Efficient High-Level Python Library for Quantum NLP
Dimitri Kartsaklis, Ian Fan, Richie Yeung +7
We present lambeq, the first high-level Python library for Quantum Natural Language Processing (QNLP). The open-source toolkit offers a detailed hierarchy of modules and classes im…
A CCG-Based Version of the DisCoCat Framework
Richie Yeung, Dimitri Kartsaklis
While the DisCoCat model (Coecke et al., 2010) has been proved a valuable tool for studying compositional aspects of language at the level of semantics, its strong dependency on pr…
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces
Victor Prokhorov, Mohammad Taher Pilehvar, Dimitri Kartsaklis +2
Word embedding techniques heavily rely on the abundance of training data for individual words. Given the Zipfian distribution of words in natural language texts, a large number of…
Proceedings of the 2018 Workshop on Compositional Approaches in Physics, NLP, and Social Sciences
Martha Lewis, Bob Coecke, Jules Hedges +2
The ability to compose parts to form a more complex whole, and to analyze a whole as a combination of elements, is desirable across disciplines. This workshop bring together resear…
Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models
Mohammad Taher Pilehvar, Dimitri Kartsaklis, Victor Prokhorov +1
Rare word representation has recently enjoyed a surge of interest, owing to the crucial role that effective handling of infrequent words can play in accurate semantic understanding…
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Dimitri Kartsaklis, Mohammad Taher Pilehvar, Nigel Collier
This paper addresses the problem of mapping natural language text to knowledge base entities. The mapping process is approached as a composition of a phrase or a sentence into a po…