116 citations · 235 across the 15 of their papers we have counts for
19 papers · 1 filter
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data
Kai Nakamura, Sharon Levy, Yi-Lin Tuan +2
A pressing challenge in current dialogue systems is to successfully converse with users on topics with information distributed across different modalities. Previous work in multitu…
Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains
Alon Albalak, Sharon Levy, William Yang Wang
Open-retrieval question answering systems are generally trained and tested on large datasets in well-established domains. However, low-resource settings such as new and emerging do…
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains
Sharon Levy, Kevin Mo, Wenhan Xiong +1
Since late 2019, COVID-19 has quickly emerged as the newest biomedical domain, resulting in a surge of new information. As with other emergent domains, the discussion surrounding t…
A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space
Alex Jones, William Yang Wang, Kyle Mahowald
In cross-lingual language models, representations for many different languages live in the same space. Here, we investigate the linguistic and non-linguistic factors affecting sent…
A Dataset for Answering Time-Sensitive Questions
Wenhu Chen, Xinyi Wang, William Yang Wang
Time is an important dimension in our physical world. Lots of facts can evolve with respect to time. For example, the U.S. President might change every four years. Therefore, it is…
Zero-shot Fact Verification by Claim Generation
Liangming Pan, Wenhu Chen, Wenhan Xiong +2
Neural models for automated fact verification have achieved promising results thanks to the availability of large, human-annotated datasets. However, for each new domain that requi…