activity
20192022
most citedMultiModalQA: Complex Question Answering over Text, Tables and Images

12 citations · 23 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CL2022★ 2 cited

Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy

Shai Gretz, Assaf Toledo, Roni Friedman +7

The COVID-19 pandemic has made a huge global impact and cost millions of lives. As COVID-19 vaccines were rolled out, they were quickly met with widespread hesitancy. To address th…

cs.CL2021

A Search Engine for Discovery of Scientific Challenges and Directions

Dan Lahav, Jon Saad Falcon, Bailey Kuehl +8

Keeping track of scientific challenges, advances and emerging directions is a fundamental part of research. However, researchers face a flood of papers that hinders discovery of im…

cs.CL2021★ 12 cited

MultiModalQA: Complex Question Answering over Text, Tables and Images

Alon Talmor, Ori Yoran, Amnon Catav +6

When answering complex questions, people can seamlessly combine information from visual, textual and tabular sources. While interest in models that reason over multiple pieces of e…

cs.CL2020

Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis

Roy Bar-Haim, Yoav Kantor, Lilach Eden +3

When summarizing a collection of views, arguments or opinions on some topic, it is often desirable not only to extract the most salient points, but also to quantify their prevalenc…

cs.CL2020

From Arguments to Key Points: Towards Automatic Argument Summarization

Roy Bar-Haim, Lilach Eden, Roni Friedman +3

Generating a concise summary from a large collection of arguments on a given topic is an intriguing yet understudied problem. We propose to represent such summaries as a small set…

cs.CL2020★ 1 cited

Interactive Extractive Search over Biomedical Corpora

Hillel Taub-Tabib, Micah Shlain, Shoval Sadde +4

We present a system that allows life-science researchers to search a linguistically annotated corpus of scientific texts using patterns over dependency graphs, as well as using pat…