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Found 12 papers, 0 papers with code
WordNet and beyond: the case of lexical access
Next we will show under what conditions WN is suitable for word access, and finally we will present a roadmap showing the obstacles to be overcome to build a resource allowing the text producer to find the word s/he is looking for.
Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction
GPT-3 and GPT-4 models are powerful, achieving high performance on a variety of Natural Language Processing tasks.
Towards a resource based on users' knowledge to overcome the Tip of the Tongue problem.
To this end, we asked crowdworkers to provide some cues to describe a given target and to specify then how each one of them relates to the target, in the hope that this could help others to find the elusive word.
A Graph-Based Approach for Computing Free Word Associations
We interpret these findings as evidence for the claim that human association acquisition must be based on the statistical analysis of perceived language and that when producing associations the detected statistical regularities are replicated.
