12 citations · 12 across the 2 of their papers we have counts for
5 papers
AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization
Sayali Kulkarni, Sheide Chammas, Wan Zhu +2
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 to…
Unifying data for fine-grained visual species classification
Sayali Kulkarni, Tomer Gadot, Chen Luo +2
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…
Spatial Language Representation with Multi-Level Geocoding
Sayali Kulkarni, Shailee Jain, Mohammad Javad Hosseini +3
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…
Learning Dense Representations for Entity Retrieval
Daniel Gillick, Sayali Kulkarni, Larry Lansing +4
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 candidat…
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Irwan Bello, Sayali Kulkarni, Sagar Jain +6
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 w…