H Zhu, A Clark - Journal of Psycholinguistic Research, 2022 - Springer
Distribution information plays an important role in word categorization. In this paper, we present a novel distributional model, distributional lattices to discover syntactic categories in …
This thesis addresses the problem of fine-grained NER for Arabic, which poses unique linguistic challenges to NER; such as the absence of capitalisation and short vowels, the …
One of the most fundamental tasks in natural language processing is representing words with mathematical objects (such as vectors). The word representations, which are most often …
Word representations induced from models with discrete latent variables (eg\HMMs) have been shown to be beneficial in many NLP applications. In this work, we exploit labeled …
Over the last decade, Natural Language Processing (NLP) technologies have entered mainstream usage. Machine Translation, Intelligent Virtual Assistants like Siri and Alexa …
There is ample research in natural language processing (NLP) on obtaining word representations, including vector space modeling, clustering and techniques derived from …