activity
20192024
most citedFast End-to-End Wikification

13 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024

Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI

Elron Bandel, Yotam Perlitz, Elad Venezian +9

In the dynamic landscape of generative NLP, traditional text processing pipelines limit research flexibility and reproducibility, as they are tailored to specific dataset, task, an…

cs.CL2023

Active Learning for Natural Language Generation

Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer +3

The field of Natural Language Generation (NLG) suffers from a severe shortage of labeled data due to the extremely expensive and time-consuming process involved in manual annotatio…

cs.CL2022

nBIIG: A Neural BI Insights Generation System for Table Reporting

Yotam Perlitz, Dafna Sheinwald, Noam Slonim +1

We present nBIIG, a neural Business Intelligence (BI) Insights Generation system. Given a table, our system applies various analyses to create corresponding RDF representations, an…

cs.CL2022★ 5 cited

Diversity Enhanced Table-to-Text Generation via Type Control

Yotam Perlitz, Liat Ein-Dor, Dafna Sheinwald +2

Generating natural language statements to convey logical inferences from tabular data (i.e., Logical NLG) is a process with one input and a variety of valid outputs. This character…

cs.CL2019

Controversy in Context

Benjamin Sznajder, Ariel Gera, Yonatan Bilu +5

With the growing interest in social applications of Natural Language Processing and Computational Argumentation, a natural question is how controversial a given concept is. Prior w…

cs.CL2019★ 13 cited

Fast End-to-End Wikification

Ilya Shnayderman, Liat Ein-Dor, Yosi Mass +7

Wikification of large corpora is beneficial for various NLP applications. Existing methods focus on quality performance rather than run-time, and are therefore non-feasible for lar…