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2020 – today
- 2024
[c7]Tzuf Paz-Argaman, John Palowitch, Sayali Kulkarni, Reut Tsarfaty, Jason Baldridge:
Into the Unknown: Generating Geospatial Descriptions for New Environments. ACL (Findings) 2024: 2259-2273- [c6]Tzuf Paz-Argaman, John Palowitch, Sayali Kulkarni, Jason Baldridge, Reut Tsarfaty:
Where Do We Go From Here? Multi-scale Allocentric Relational Inferencefrom Natural Spatial Descriptions. EACL (1) 2024: 1026-1040 - [i7]Tzuf Paz-Argaman, Sayali Kulkarni, John Palowitch, Jason Baldridge, Reut Tsarfaty:
Where Do We Go from Here? Multi-scale Allocentric Relational Inference from Natural Spatial Descriptions. CoRR abs/2402.16364 (2024) - [i6]Tzuf Paz-Argaman, John Palowitch, Sayali Kulkarni, Reut Tsarfaty, Jason Baldridge:
Into the Unknown: Generating Geospatial Descriptions for New Environments. CoRR abs/2406.19967 (2024) - 2021
- [c5]Sayali Kulkarni, Sheide Chammas, Wan Zhu, Fei Sha, Eugene Ie:
CoMSum and SIBERT: A Dataset and Neural Model for Query-Based Multi-document Summarization. ICDAR (2) 2021: 84-98 - 2020
- [c4]Idan Szpektor, Deborah Cohen, Gal Elidan, Michael Fink, Avinatan Hassidim, Orgad Keller, Sayali Kulkarni, Eran Ofek, Sagie Pudinsky, Asaf Revach, Shimi Salant, Yossi Matias:
Dynamic Composition for Conversational Domain Exploration. WWW 2020: 872-883 - [i5]Sayali Kulkarni, Shailee Jain, Mohammad Javad Hosseini, Jason Baldridge, Eugene Ie, Li Zhang:
Spatial Language Representation with Multi-Level Geocoding. CoRR abs/2008.09236 (2020) - [i4]Sayali Kulkarni, Tomer Gadot, Chen Luo, Tanya Birch, Eric Fegraus:
Unifying data for fine-grained visual species classification. CoRR abs/2009.11433 (2020) - [i3]Sayali Kulkarni, Sheide Chammas, Wan Zhu, Fei Sha, Eugene Ie:
AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization. CoRR abs/2010.12694 (2020)
2010 – 2019
- 2019
- [c3]Daniel Gillick, Sayali Kulkarni, Larry Lansing, Alessandro Presta, Jason Baldridge, Eugene Ie, Diego García-Olano:
Learning Dense Representations for Entity Retrieval. CoNLL 2019: 528-537 - [i2]Daniel Gillick, Sayali Kulkarni, Larry Lansing, Alessandro Presta, Jason Baldridge, Eugene Ie, Diego García-Olano:
Learning Dense Representations for Entity Retrieval. CoRR abs/1909.10506 (2019) - 2018
- [i1]Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi:
Seq2Slate: Re-ranking and Slate Optimization with RNNs. CoRR abs/1810.02019 (2018) - 2011
- [c2]Aniket Rangrej, Sayali Kulkarni, Ashish V. Tendulkar:
Comparative study of clustering techniques for short text documents. WWW (Companion Volume) 2011: 111-112
2000 – 2009
- 2009
- [c1]Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, Soumen Chakrabarti:
Collective annotation of Wikipedia entities in web text. KDD 2009: 457-466
Coauthor Index
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