Search Results for author: Larisa Shwartz

Found 3 papers, 1 papers with code

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains

1 code implementation23 Jan 2024 Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han

In this paper, we study the task of seed-guided fine-grained entity typing in science and engineering domains, which takes the name and a few seed entities for each entity type as the only supervision and aims to classify new entity mentions into both seen and unseen types (i. e., those without seed entities).

Entity Typing Natural Language Inference

FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud

no code implementations17 Feb 2021 Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd

The process of continuous integration/deployment (CICD) in cloud connects developers who need to deliver value faster and more transparently with site reliability engineers (SREs) who need to manage applications reliably.

Online Interactive Collaborative Filtering Using Multi-Armed Bandit with Dependent Arms

no code implementations10 Aug 2017 Qing Wang, Chunqiu Zeng, Wubai Zhou, Tao Li, Larisa Shwartz, Genady Ya. Grabarnik

To address these issues, collaborative filtering (CF), one of the recommendation techniques relying on the interaction data only, as well as the online multi-armed bandit mechanisms, capable of achieving the balance between exploitation and exploration, are adopted in the online interactive recommendation settings, by assuming independent items (i. e., arms).

Collaborative Filtering Recommendation Systems

Cannot find the paper you are looking for? You can Submit a new open access paper.