Articles tagged with Natural Language Processing
A Regenstrief study found that natural language processing can accurately track colonoscopy quality, outperforming human review in accuracy and cost. The system analyzed over 90,000 colonoscopies and achieved 95% accuracy in detecting adenomas.
Researchers aim to enable scientists to ask a computer a question and receive an answer in an easy-to-understand picture. The project, funded by the National Science Foundation, seeks to develop an interactive computer system that can produce meaningful visualizations based on natural language requests.
A new $3.75 million project aims to teach computers to read and evaluate lengthy privacy policies using crowdsourcing, machine learning and natural language processing. The project will create user-friendly digests that highlight policy elements most relevant to users.
Researchers at MIT create systems that can translate natural-language descriptions into working code in a few narrow cases. The method involves mapping regular expressions to equivalent natural-language expressions, enabling programmers to specify complex searches using simple language.
Researchers found that men use heavy terms like 'hammered' for moderate intoxication, while women use lighter terms like 'buzzed.' These findings suggest tailored measures for prevention and intervention could be effective. The study's results have implications for how we perceive and communicate intoxicated states, particularly among ...
A Georgia Tech study identifies specific words and phrases that predict whether workplace emails are sent to someone higher or lower in the corporate hierarchy. Certain phrases consistently signal a power relationship between two people, with an estimated probability of chance occurring less than 1 in 1,000.
A team of MIT cognitive scientists found that ambiguity in language allows for the reuse of short, efficient sounds that listeners can easily disambiguate with context. This theory contradicts previous arguments that ambiguity is a problem for communication, suggesting it's actually a key to making language more efficient.
Linguistic researcher Marianne Pouplier aims to clarify why certain sound patterns are rarely encountered in languages, proposing an empirical approach using ultrasound imaging and perceptual tests.
A natural language processing-based approach outperformed traditional administrative data codes in detecting postoperative surgical complications. The study found the new method correctly identified 82% of acute renal failure cases, while also being highly specific for diagnoses like pneumonia and sepsis.
Research shows that certain types of metaphors are difficult to convey in sign language due to the iconicity of a form constraining possible metaphorical extensions. Sign languages exhibit rich metaphorical use, but clashes between form and meaning components can render some metaphors impossible.
Psychologist Neal J. Roese and computer scientist Eyal Amir predict that by 2060, androids will be able to mimic human-like voices, facial expressions, and emotions, but still struggle with understanding natural language and forming conclusions from visual input.
A USC Information Sciences Institute system identifies alpha chatterers in online communities, enabling the extraction of statistically correct answers. The method integrates speech act analysis, lexical similarity, and poster trustworthiness to create links for interpretation.
A new algorithm called Automatic Distillation of Structure (ADIOS) has been developed to learn complex patterns in raw texts, including transcripts of parents' speech directed at young children. The algorithm can generate grammatical new sentences and prove useful in fields like bioinformatics.