Ari Rappoport

4 paper cards in Mova's library · 2009–2018

Ari Rappoport wrote 4 of the papers Mova reads, in 2009–2018, most of them on Machine translation; often with Omri Abend, Elior Sulem, Dmitry Davidov.

The profile is the library's match of the name; two people with one name are not always told apart.

Papers

Semantic Structural Evaluation for Text Simplification (2018)
The paper asks how to score a simplified sentence when reference simplifications are scarce and not unique.
Simple and Effective Text Simplification Using Semantic and Neural Methods (2018)
The paper adds a semantic splitting step before a neural machine translation simplifier. Direct Semantic Splitting (DSS) parses each sentence with a UCCA semantic parser, which gives scenes (events with their participants), and splits the sentence at its main scenes using two simple rules, one for parallel scenes and…
Universal Conceptual Cognitive Annotation (UCCA) (2013)
UCCA is a semantic annotation scheme that tries to abstract away from syntactic form. Each sentence is a directed acyclic graph whose leaves are words, and whose units mark scenes, argument structure of verbs, nouns and adjectives, and the links between them. The argument is that syntactic schemes separate sentences…
Unsupervised Concept Discovery In Hebrew Using Simple Unsupervised Word Prefix Segmentation for Hebrew and Arabic (2009)
Hebrew and Arabic attach function words (and, in, the, that) to the next word, so word-based pattern methods for concept discovery miss the patterns that use "and" or "or".