13 citations · 16 across the 5 of their papers we have counts for
6 papers
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly
Dan Kalifa, Uriel Singer, Ido Guy +2
Consumer demand forecasting is of high importance for many e-commerce applications, including supply chain optimization, advertisement placement, and delivery speed optimization. H…
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…
Time Masking for Temporal Language Models
Guy D. Rosin, Ido Guy, Kira Radinsky
Our world is constantly evolving, and so is the content on the web. Consequently, our languages, often said to mirror the world, are dynamic in nature. However, most current contex…
Event-Driven Query Expansion
Guy D. Rosin, Ido Guy, Kira Radinsky
A significant number of event-related queries are issued in Web search. In this paper, we seek to improve retrieval performance by leveraging events and specifically target the cla…
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…
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…