activity
20182026
most citedFindings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora

72 citations · 193 across the 54 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CL2018

Reference-less Measure of Faithfulness for Grammatical Error Correction

Leshem Choshen, Omri Abend

We propose USim, a semantic measure for Grammatical Error Correction (GEC) that measures the semantic faithfulness of the output to the source, thereby complementing existing refer…

cs.CL2018

Automatic Metric Validation for Grammatical Error Correction

Leshem Choshen, Omri Abend

Metric validation in Grammatical Error Correction (GEC) is currently done by observing the correlation between human and metric-induced rankings. However, such correlation studies…

cs.CL2018

SemEval 2019 Shared Task: Cross-lingual Semantic Parsing with UCCA - Call for Participation

Daniel Hershcovich, Leshem Choshen, Elior Sulem +3

We announce a shared task on UCCA parsing in English, German and French, and call for participants to submit their systems. UCCA is a cross-linguistically applicable framework for…

cs.LG2018

DORA The Explorer: Directed Outreaching Reinforcement Action-Selection

Leshem Choshen, Lior Fox, Yonatan Loewenstein

Exploration is a fundamental aspect of Reinforcement Learning, typically implemented using stochastic action-selection. Exploration, however, can be more efficient if directed towa…

cs.CL2018

Inherent Biases in Reference based Evaluation for Grammatical Error Correction and Text Simplification

Leshem Choshen, Omri Abend

The prevalent use of too few references for evaluating text-to-text generation is known to bias estimates of their quality ({\it low coverage bias} or LCB). This paper shows that o…