Different Markers of Semantic-Lexical Impairment Allow One to Obtain Different Information on the Conversion from MCI to AD: A Narrative Review of an Ongoing Research Program. [PDF]
Quaranta D +3 more
europepmc +1 more source
Integrating deep learning architectures for enhanced biomedical relation extraction: a pipeline approach. [PDF]
Sarol MJ, Hong G, Guerra E, Kilicoglu H.
europepmc +1 more source
Redefining Cognitive Domains in the Era of ChatGPT: A Comprehensive Analysis of Artificial Intelligence's Influence and Future Implications. [PDF]
Dubey S +5 more
europepmc +1 more source
Middle-schoolers' reading and lexical-semantic processing depth in response to digital and print media: An N400 study. [PDF]
Froud K, Levinson L, Maddox C, Smith P.
europepmc +1 more source
A Visually Enhanced Neural Encoder for Synset Induction
The synset induction task is to automatically cluster semantically identical instances, which are often represented by texts and images. Previous works mainly consider textual parts, while ignoring the visual counterparts.
Xiaoxu Li, Ruifan Li, Fangxiang Feng
exaly +2 more sources
Synset expansion on translation graph for automatic wordnet construction
Research on clustering algorithms in synonymy graphs of a single language yields promising results, however, this idea is not yet explored in a multilingual setting.
Gönenç Ercan, Farid Haziyev
exaly +2 more sources
The chicken-and-egg problem in wordnet design: synonymy, synsets and constitutive relations [PDF]
Wordnets are built of synsets, not of words. A synset consists of words. Synonymy is a relation between words. Words go into a synset because they are synonyms. Later, a wordnet treats words as synonymous because they belong in the same synset. . .
Marek Maziarz, Maciej Piasecki
exaly +1 more source
Confidence Indexing of Automated Detected Synsets: A Case Study on Contemporary Turkish Dictionary
ACM Transactions on Asian and Low-Resource Language Information Processing, 2022Umut Orhan
exaly

