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cs.CL2022★ 1 cited
Temporal Attention for Language Models
Guy D. Rosin, Kira Radinsky
Pretrained language models based on the transformer architecture have shown great success in NLP. Textual training data often comes from the web and is thus tagged with time-specif…
cs.CL2019
Generating Timelines by Modeling Semantic Change
Guy D. Rosin, Kira Radinsky
Though languages can evolve slowly, they can also react strongly to dramatic world events. By studying the connection between words and events, it is possible to identify which eve…
cs.CL2017
Learning Word Relatedness over Time
Guy D. Rosin, Eytan Adar, Kira Radinsky
Search systems are often focused on providing relevant results for the "now", assuming both corpora and user needs that focus on the present. However, many corpora today reflect si…