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20182022
most citedHowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles

3 citations · 4 across the 2 of their papers we have counts for

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8 papers · 1 filter

cs.CL20221 cited

Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization

Benjamin Sznajder, Chulaka Gunasekara, Guy Lev +3

Many organizations require their customer-care agents to manually summarize their conversations with customers. These summaries are vital for decision making purposes of the organi…

cs.CL20213 cited

HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles

Odellia Boni, Guy Feigenblat, Guy Lev +3

We present HowSumm, a novel large-scale dataset for the task of query-focused multi-document summarization (qMDS), which targets the use-case of generating actionable instructions…

cs.CL2021

Summary Grounded Conversation Generation

Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder +2

Many conversation datasets have been constructed in the recent years using crowdsourcing. However, the data collection process can be time consuming and presents many challenges to…

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

Argument Invention from First Principles

Yonatan Bilu, Ariel Gera, Daniel Hershcovich +6

Competitive debaters often find themselves facing a challenging task -- how to debate a topic they know very little about, with only minutes to prepare, and without access to books…

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…