This paper uses a Transformer-based model to categorize documents more accurately by figuring out the specific meaning of a word based on the domain it's used in (e.g., "bank" in finance vs. "bank" in geography). Source: ACL Anthology P19-1105
3. Text Categorization by Learning Predominant Sense of Words (2019) Machine Learning / NLP 1105mp4
If you are referring to a file named 1105.mp4 rather than an academic paper ID, recent social media results show a video by Birkbecks Jewellers titled "1105.mp4," which features the "hand-off" of a custom ring from a paper design sketch to a finished piece. This paper uses a Transformer-based model to categorize
It focuses on how computers can understand "gapped" sentences—where words are omitted but understood (e.g., "Paul likes coffee and Mary tea"). The authors propose methods to help AI fill in these missing pieces. Source: ACL Anthology N18-1105 Text Categorization by Learning Predominant Sense of Words