The Counting of the Omer is a commandment in Judaism of counting the days that pass between Pesach (Passover) and Shavuot (the Feast of Weeks). This mitzvah (commandment) derives from a commandment in the Torah to count 49 days beginning from the day on which the Omer, a sacrifice containing an omer-measure of barley, was offered in the Temple in Jerusalem, up …

网络成瘾症（英語： Internet addiction disorder ，缩写作IAD），亦作不当网络使用（problematic Internet use）或病态网络使用（pathological Internet use），简称网瘾，泛指对于互联网的过度使用，以致影响日常生活。 网络成瘾问题随着网络的普及也随之发展。 研究表明，青少年（12至17岁）和成年初期（18-29岁 ...

Darsh Shah, Lili Yu, Tao Lei and Regina Barzilay. Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers Andrew Silva, Pradyumna Tambwekar and Matthew Gombolay. ... Wikipedia Entities as Rendezvous across Languages: Grounding Multilingual Language Models by Predicting Wikipedia Hyperlinks

Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan Clark and Regina Barzilay. Learning a Cost-Effective Annotation Policy for Question Answering. Bernhard Kratzwald, Stefan Feuerriegel and Huan Sun. Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start.

Heterogeneous graphs. A heterogeneous graph [Hussein et al., 2018, Wang et al., 2019, Yang et al., 2020] (or heterogeneous information network [Sun et al., 2011, Sun and Han, 2012]) is a directed graph where each node and edge is assigned one type.Heterogeneous graphs are thus akin to directed edge-labelled graphs – with edge labels corresponding to edge types – but …

In addition, we develop training techniques for learning better entity representations by using natural hyperlink annotations in Wikipedia. We identify effective objectives for incorporating the contextual information in hyperlinks into state-of-the-art pretrained language models (Peters et al., 2018) and show that they improve strong baselines ...