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Title | QA-SRL |
Description | Browse QA-SRL + Browse QA-SRL + QANom QA-SRL with nominalizations on 8,000 sentences. Explore the data » About the QA-SRL Project We are a group of researchers spanning t |
Keywords | N/A |
WebSite | qasrl.org |
Host IP | 54.192.99.9 |
Location | United States |
Site | Rank |
US$935,861
Last updated: 2023-05-19 18:49:11
qasrl.org has Semrush global rank of 11,309,707. qasrl.org has an estimated worth of US$ 935,861, based on its estimated Ads revenue. qasrl.org receives approximately 107,984 unique visitors each day. Its web server is located in United States, with IP address 54.192.99.9. According to SiteAdvisor, qasrl.org is safe to visit. |
Purchase/Sale Value | US$935,861 |
Daily Ads Revenue | US$864 |
Monthly Ads Revenue | US$25,917 |
Yearly Ads Revenue | US$310,994 |
Daily Unique Visitors | 7,199 |
Note: All traffic and earnings values are estimates. |
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qasrl.org. | A | 60 | IP: 54.192.99.9 |
qasrl.org. | A | 60 | IP: 54.192.99.23 |
qasrl.org. | A | 60 | IP: 54.192.99.33 |
qasrl.org. | A | 60 | IP: 54.192.99.100 |
qasrl.org. | NS | 21600 | NS Record: ns-1178.awsdns-19.org. |
qasrl.org. | NS | 21600 | NS Record: ns-1660.awsdns-15.co.uk. |
qasrl.org. | NS | 21600 | NS Record: ns-71.awsdns-08.com. |
qasrl.org. | NS | 21600 | NS Record: ns-966.awsdns-56.net. |
Browse QA-SRL + QANom QA-SRL with nominalizations on 8,000 sentences. Explore the data » About the QA-SRL Project We are a group of researchers spanning the University of Washington , Bar-Ilan University , Facebook AI Research , and the Allen Institute for Artificial Intelligence . Our goal is to advance the state of the art in broad-coverage natural language understanding. We believe the way forward is with new datasets that are: Crowdsourced : modern machine learning methods require big training sets, which means scalability is a top priority. Richly structured : in order to improve over powerful representations learned from unlabeled data, we need strong, structured supervision signal. Extensible : annotation schemas should be flexible enough to accommodate new semantic phenomena without requiring expensive rounds of reannotation or brittle postprocessing rules. Our research explores a variety of points in the design space spanned by these criteria. The common feature between our |
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