Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Kulkarni, Sayali"'
Publikováno v:
ACL 2024 Findings
Similar to vision-and-language navigation (VLN) tasks that focus on bridging the gap between vision and language for embodied navigation, the new Rendezvous (RVS) task requires reasoning over allocentric spatial relationships (independent of the obse
Externí odkaz:
http://arxiv.org/abs/2406.19967
Publikováno v:
EACL 2024
When communicating routes in natural language, the concept of acquired spatial knowledge is crucial for geographic information retrieval (GIR) and in spatial cognitive research. However, NLP navigation studies often overlook the impact of such acquir
Externí odkaz:
http://arxiv.org/abs/2402.16364
Summarization is the task of compressing source document(s) into coherent and succinct passages. This is a valuable tool to present users with concise and accurate sketch of the top ranked documents related to their queries. Query-based multi-documen
Externí odkaz:
http://arxiv.org/abs/2010.12694
Wildlife monitoring is crucial to nature conservation and has been done by manual observations from motion-triggered camera traps deployed in the field. Widespread adoption of such in-situ sensors has resulted in unprecedented data volumes being coll
Externí odkaz:
http://arxiv.org/abs/2009.11433
Autor:
Kulkarni, Sayali, Jain, Shailee, Hosseini, Mohammad Javad, Baldridge, Jason, Ie, Eugene, Zhang, Li
We present a multi-level geocoding model (MLG) that learns to associate texts to geographic locations. The Earth's surface is represented using space-filling curves that decompose the sphere into a hierarchy of similarly sized, non-overlapping cells.
Externí odkaz:
http://arxiv.org/abs/2008.09236
Autor:
Gillick, Daniel, Kulkarni, Sayali, Lansing, Larry, Presta, Alessandro, Baldridge, Jason, Ie, Eugene, Garcia-Olano, Diego
We show that it is feasible to perform entity linking by training a dual encoder (two-tower) model that encodes mentions and entities in the same dense vector space, where candidate entities are retrieved by approximate nearest neighbor search. Unlik
Externí odkaz:
http://arxiv.org/abs/1909.10506
Autor:
Kashale, Anil Ashok, Rasal, Akash Sanjay, Hsu, Fei-Chien, Chen, ChangChun, Kulkarni, Sayali Nitin, Chang, Chun Hao, Chang, Jia-Yaw, Lai, Yuekun, Chen, I-Wen Peter
Publikováno v:
In Journal of Colloid And Interface Science 15 June 2023 640:737-749
Autor:
Bello, Irwan, Kulkarni, Sayali, Jain, Sagar, Boutilier, Craig, Chi, Ed, Eban, Elad, Luo, Xiyang, Mackey, Alan, Meshi, Ofer
Ranking is a central task in machine learning and information retrieval. In this task, it is especially important to present the user with a slate of items that is appealing as a whole. This in turn requires taking into account interactions between i
Externí odkaz:
http://arxiv.org/abs/1810.02019
Publikováno v:
American Journal of Case Reports. 12/5/2022, Vol. 23, p1-4. 4p.
Publikováno v:
In Regional Science and Urban Economics May 2018 70:1-19