What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning

MLA

Lee, Jae Hee, et al. What Is Right for Me Is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning. 2022. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2205.02671&authtype=sso&custid=ns315887.

APA

Lee, J. H., Kerzel, M., Ahrens, K., Weber, C., & Wermter, S. (2022). What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning.

Chicago

Lee, Jae Hee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, and Stefan Wermter. 2022. “What Is Right for Me Is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2205.02671&authtype=sso&custid=ns315887.