Search Results for author: Roee Shraga

Found 12 papers, 8 papers with code

The Battleship Approach to the Low Resource Entity Matching Problem

1 code implementation27 Nov 2023 Bar Genossar, Avigdor Gal, Roee Shraga

Entity matching, a core data integration problem, is the task of deciding whether two data tuples refer to the same real-world entity.

Active Learning Data Integration +1

Product Attribute Value Extraction using Large Language Models

1 code implementation19 Oct 2023 Alexander Brinkmann, Roee Shraga, Christian Bizer

We propose different prompt templates for instructing LLMs about the target schema of the extraction, covering both zero-shot and few-shot scenarios.

Attribute Attribute Value Extraction

Generative Benchmark Creation for Table Union Search

1 code implementation7 Aug 2023 Koyena Pal, Aamod Khatiwada, Roee Shraga, Renée J. Miller

We thoroughly evaluate recent existing table union search methods over existing benchmarks and our new benchmark.

Management Table Search

Product Information Extraction using ChatGPT

1 code implementation23 Jun 2023 Alexander Brinkmann, Roee Shraga, Reng Chiz Der, Christian Bizer

Hence, extracting attribute/value pairs from textual product descriptions is an essential enabler for e-commerce applications.

Attribute Language Modelling +1

SC-Block: Supervised Contrastive Blocking within Entity Resolution Pipelines

1 code implementation6 Mar 2023 Alexander Brinkmann, Roee Shraga, Christian Bizer

To reduce these runtimes, entity resolution pipelines are constructed of two parts: a blocker that applies a computationally cheap method to select candidate record pairs, and a matcher that afterwards identifies matching pairs from this set using more expensive methods.

Blocking Contrastive Learning

FlexER: Flexible Entity Resolution for Multiple Intents

1 code implementation23 Aug 2022 Bar Genossar, Roee Shraga, Avigdor Gal

In what follows, we introduce the problem of multiple intents entity resolution (MIER), an extension to the universal (single intent) entity resolution task.

Entity Resolution Multi-Label Classification

HumanAL: Calibrating Human Matching Beyond a Single Task

no code implementations6 May 2022 Roee Shraga

This work offers a novel view on the use of human input as labels, acknowledging that humans may err.

Text Matching

Human's Role in-the-Loop

no code implementations27 Apr 2022 Avigdor Gal, Roee Shraga

Given the availability of data and the improvement of machine learning techniques, this blog discusses the respective roles of humans and machines in achieving cognitive tasks in matching, aiming to determine whether traditional roles of humans and machines are subject to change.

Cloud Computing Data Integration

From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry (Technical Report)

no code implementations26 Apr 2022 Roee Shraga, Gil Katz, Yael Badian, Nitay Calderon, Avigdor Gal

In this paper we propose a design methodology, using active learning to enhance learning capabilities, for building a model of production outcome using a constrained amount of raw material training data.

Active Learning

Mapping Patterns for Virtual Knowledge Graphs

no code implementations3 Dec 2020 Diego Calvanese, Avigdor Gal, Davide Lanti, Marco Montali, Alessandro Mosca, Roee Shraga

Virtual Knowledge Graphs (VKG) constitute one of the most promising paradigms for integrating and accessing legacy data sources.

Knowledge Graphs Management

Learning to Characterize Matching Experts

1 code implementation2 Dec 2020 Roee Shraga, Ofra Amir, Avigdor Gal

Matching is a task at the heart of any data integration process, aimed at identifying correspondences among data elements.

Data Integration valid

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