3 citations · 3 across the 2 of their papers we have counts for
10 papers · 1 filter
UCCA's Foundational Layer: Annotation Guidelines v2.1
Omri Abend, Nathan Schneider, Dotan Dvir +2
This is the annotation manual for Universal Conceptual Cognitive Annotation (UCCA; Abend and Rappoport, 2013), specifically the Foundational Layer. UCCA is a graph-based semantic a…
Content Differences in Syntactic and Semantic Representations
Daniel Hershcovich, Omri Abend, Ari Rappoport
Syntactic analysis plays an important role in semantic parsing, but the nature of this role remains a topic of ongoing debate. The debate has been constrained by the scarcity of em…
SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA
Daniel Hershcovich, Zohar Aizenbud, Leshem Choshen +3
We present the SemEval 2019 shared task on UCCA parsing in English, German and French, and discuss the participating systems and results. UCCA is a cross-linguistically applicable…
BLEU is Not Suitable for the Evaluation of Text Simplification
Elior Sulem, Omri Abend, Ari Rappoport
BLEU is widely considered to be an informative metric for text-to-text generation, including Text Simplification (TS). TS includes both lexical and structural aspects. In this pape…
Simple and Effective Text Simplification Using Semantic and Neural Methods
Elior Sulem, Omri Abend, Ari Rappoport
Sentence splitting is a major simplification operator. Here we present a simple and efficient splitting algorithm based on an automatic semantic parser. After splitting, the text i…
Semantic Structural Evaluation for Text Simplification
Elior Sulem, Omri Abend, Ari Rappoport
Current measures for evaluating text simplification systems focus on evaluating lexical text aspects, neglecting its structural aspects. In this paper we propose the first measure…