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20182023
most citedThe GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

52 citations · 109 across the 17 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

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.CL2019

Fine-grained Information Status Classification Using Discourse Context-Aware Self-Attention

Yufang Hou

Previous work on bridging anaphora recognition (Hou et al., 2013a) casts the problem as a subtask of learning fine-grained information status (IS). However, these systems heavily d…

cs.CL2019★ 1 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…

cs.CL2019

Extracting Factual Min/Max Age Information from Clinical Trial Studies

Yufang Hou, Debasis Ganguly, Lea A. Deleris +1

Population age information is an essential characteristic of clinical trials. In this paper, we focus on extracting minimum and maximum (min/max) age values for the study samples f…