Linking Symptom Inventories using Semantic Textual Similarity.
Eamonn KennedyShashank VadlamaniHannah M. LindseyKelly S. PetersonKristen Dams OConnorKenton MurrayRonak AgarwalHoushang H. AmiriRaeda K. AndersenTalin BabikianDavid A BaronErin D. BiglerKaren CaeyenberghsLisa Delano-WoodSeth G. DisnerEkaterina DobryakovaBlessen C. EapenRachel M. EdelsteinCarrie EsopenkoHelen M. GenovaElbert GeuzeNaomi J. Goodrich-HunsakerJordan GrafmanAsta K. HåbergCooper B. HodgesKristen R. HoskinsonElizabeth S. HovendenAndrei IrimiaNeda JahanshadRuchira M. JhaFinian KeleherKimbra KenneyInga KoerteSpencer W. LiebelAbigail LivnyMarianne LovstadSarah L. MartindaleJeffrey E. MaxAndrew R. MayerTimothy B. MeierDeleene S. MenefeeAbdalla Z. MohamedStefania MondelloMartin M. MontiRajendra A. MoreyVirginia Newcombeet al.Published in: CoRR (2023)
Keyphrases
- semantic similarity
- similarity measure
- natural language
- semantic information
- semantic distance
- sentence similarity
- distance function
- keywords
- semantic similarity measure
- multimedia
- word similarity
- semantically related
- semantic knowledge
- semantic search
- co occurrence
- semantic web
- semantic annotation
- visual similarity
- feature vectors
- domain specific
- semantic context
- semantic labels
- visual representations
- semantic description
- similarity function
- fault diagnosis
- distance metric
- visual concepts
- similarity measurement
- semantic concepts
- total cost
- semantic network