most citedAre You Convinced? Choosing the More Convincing Evidence with a Siamese Network

3 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL20211 cited

TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics

Yufang Hou, Charles Jochim, Martin Gleize +2

Tasks, Datasets and Evaluation Metrics are important concepts for understanding experimental scientific papers. However, most previous work on information extraction for scientific…

cs.CL2019

Corpus Wide Argument Mining -- a Working Solution

Liat Ein-Dor, Eyal Shnarch, Lena Dankin +10

One of the main tasks in argument mining is the retrieval of argumentative content pertaining to a given topic. Most previous work addressed this task by retrieving a relatively sm…

cs.CL2019

A Summarization System for Scientific Documents

Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat +15

We present a novel system providing summaries for Computer Science publications. Through a qualitative user study, we identified the most valuable scenarios for discovery, explorat…

cs.LG20193 cited

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network

Martin Gleize, Eyal Shnarch, Leshem Choshen +4

With the advancement in argument detection, we suggest to pay more attention to the challenging task of identifying the more convincing arguments. Machines capable of responding an…

cs.CL20191 cited

Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction

Yufang Hou, Charles Jochim, Martin Gleize +2

While the fast-paced inception of novel tasks and new datasets helps foster active research in a community towards interesting directions, keeping track of the abundance of researc…