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Articles 1 - 4 of 4
Full-Text Articles in Computational Linguistics
Data-Driven Neuroanatomical Subtypes In Various Stages Of Schizophrenia: Linking Cortical Thickness, Glutamate, And Language Functioning, Liangbing Liang
Data-Driven Neuroanatomical Subtypes In Various Stages Of Schizophrenia: Linking Cortical Thickness, Glutamate, And Language Functioning, Liangbing Liang
Electronic Thesis and Dissertation Repository
The considerable variation in the spatial distribution of cortical thickness changes has been used to parse heterogeneity in schizophrenia. We aimed to recover a ‘cortical impoverishment’ subgroup with widespread cortical thinning. We applied hierarchical cluster analysis to cortical thickness data of three datasets in different stages of psychosis and studied the cognitive, functional, neurochemical, language and symptom profiles of the observed subgroups. Our consensus-based clustering procedure consistently produced a subgroup characterized by significantly lower cortical thickness. This ‘cortical impoverishment’ subgroup was associated with a higher symptom burden in a clinically stable sample and higher glutamate levels with language impairments in …
On Polysemy: A Philosophical, Psycholinguistic, And Computational Study, Jiangtian Li
On Polysemy: A Philosophical, Psycholinguistic, And Computational Study, Jiangtian Li
Electronic Thesis and Dissertation Repository
Most words in natural languages are polysemous, that is they have related but different meanings in different contexts. These polysemous meanings (senses) are marked by their structuredness, flexibility, productivity, and regularity. Previous theories have focused on some of these features but not all of them together. Thus, I propose a new theory of polysemy, which has two components. First, word meaning is actively modulated by broad contexts in a continuous fashion. Second, clustering arises from contextual modulations of a word and is then entrenched in our long term memory to facilitate future production and processing. Hence, polysemous senses are entrenched …
Identification Of Informativeness In Text Using Natural Language Stylometry, Rushdi Shams
Identification Of Informativeness In Text Using Natural Language Stylometry, Rushdi Shams
Electronic Thesis and Dissertation Repository
In this age of information overload, one experiences a rapidly growing over-abundance of written text. To assist with handling this bounty, this plethora of texts is now widely used to develop and optimize statistical natural language processing (NLP) systems. Surprisingly, the use of more fragments of text to train these statistical NLP systems may not necessarily lead to improved performance. We hypothesize that those fragments that help the most with training are those that contain the desired information. Therefore, determining informativeness in text has become a central issue in our view of NLP. Recent developments in this field have spawned …
Cosine Similarity For Article Section Classification: Using Structured Abstracts As A Proxy For An Annotated Corpus, Arthur T. Bugorski
Cosine Similarity For Article Section Classification: Using Structured Abstracts As A Proxy For An Annotated Corpus, Arthur T. Bugorski
Electronic Thesis and Dissertation Repository
During the last decade, the amount of research published in biomedical journals has grown significantly and at an accelerating rate. To fully explore all of this literature, new tools and techniques are needed for both information retrieval and processing. One such tool is the identification and extraction of key claims. In an e ort to work toward claim-extraction, we aim to identify the key areas in the body of the article referred to by text in the abstract. In this project, our work is preliminary to that goal in that we attempt to match specific clauses in the abstract with …