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Full-Text Articles in Computational Linguistics
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 …
Towards News Verification: Deception Detection Methods For News Discourse, Yimin Chen, Victoria L. Rubin, Niall Conroy
Towards News Verification: Deception Detection Methods For News Discourse, Yimin Chen, Victoria L. Rubin, Niall Conroy
FIMS Presentations
News verification is a process of determining whether a particular news report is truthful or deceptive. Deliberately deceptive (fabricated) news creates false conclusions in the readers’ minds. Truthful (authentic) news matches the writer’s knowledge. How do you tell the difference between the two in an automated way? To investigate this question, we analyzed rhetorical structures, discourse constituent parts and their coherence relations in deceptive and truthful news sample from NPR’s “Bluff the Listener”. Subsequently, we applied a vector space model to cluster the news by discourse feature similarity, achieving 63% accuracy. Our predictive model is not significantly better than chance …