Search Results for author: Ari Rappoport

Found 29 papers, 10 papers with code

A Lipid Rafts Theory of Alzheimer's Disease

no code implementations31 Oct 2023 Ari Rappoport

Competition resolution crucially depends on the formation of membrane lipid rafts, which requires astrocyte-produced cholesterol.

UCCA's Foundational Layer: Annotation Guidelines v2.1

1 code implementation31 Dec 2020 Omri Abend, Nathan Schneider, Dotan Dvir, Jakob Prange, Ari Rappoport

This is the annotation manual for Universal Conceptual Cognitive Annotation (UCCA; Abend and Rappoport, 2013), specifically the Foundational Layer.

Semantic Structural Decomposition for Neural Machine Translation

1 code implementation Joint Conference on Lexical and Computational Semantics 2020 Elior Sulem, Omri Abend, Ari Rappoport

Building on recent advances in semantic parsing and text simplification, we investigate the use of semantic splitting of the source sentence as preprocessing for machine translation.

Machine Translation Semantic Parsing +2

Preparing SNACS for Subjects and Objects

1 code implementation WS 2019 Adi Shalev, Jena D. Hwang, Nathan Schneider, Vivek Srikumar, Omri Abend, Ari Rappoport

Research on adpositions and possessives in multiple languages has led to a small inventory of general-purpose meaning classes that disambiguate tokens.

Content Differences in Syntactic and Semantic Representation

2 code implementations NAACL 2019 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.

Test UCCA Parsing

Content Differences in Syntactic and Semantic Representations

1 code implementation15 Mar 2019 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.

Test UCCA Parsing

SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA

no code implementations SEMEVAL 2019 Daniel Hershcovich, Zohar Aizenbud, Leshem Choshen, Elior Sulem, Ari Rappoport, Omri Abend

We present the SemEval 2019 shared task on UCCA parsing in English, German and French, and discuss the participating systems and results.

UCCA Parsing

BLEU is Not Suitable for the Evaluation of Text Simplification

1 code implementation EMNLP 2018 Elior Sulem, Omri Abend, Ari Rappoport

BLEU is widely considered to be an informative metric for text-to-text generation, including Text Simplification (TS).

Text Generation Text Simplification

Semantic Structural Evaluation for Text Simplification

1 code implementation NAACL 2018 Elior Sulem, Omri Abend, Ari Rappoport

Current measures for evaluating text simplification systems focus on evaluating lexical text aspects, neglecting its structural aspects.

Semantic Parsing Text Simplification +1

Computing Word Classes Using Spectral Clustering

no code implementations16 Aug 2018 Effi Levi, Saggy Herman, Ari Rappoport

Clustering a lexicon of words is a well-studied problem in natural language processing (NLP).

Clustering Dependency Parsing +8

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

no code implementations31 May 2018 Daniel Hershcovich, Leshem Choshen, Elior Sulem, Zohar Aizenbud, Ari Rappoport, Omri Abend

Given the success of recent semantic parsing shared tasks (on SDP and AMR), we expect the task to have a significant contribution to the advancement of UCCA parsing in particular, and semantic parsing in general.

UCCA Parsing

Multitask Parsing Across Semantic Representations

1 code implementation ACL 2018 Daniel Hershcovich, Omri Abend, Ari Rappoport

The ability to consolidate information of different types is at the core of intelligence, and has tremendous practical value in allowing learning for one task to benefit from generalizations learned for others.

Test UCCA Parsing

The State of the Art in Semantic Representation

no code implementations ACL 2017 Omri Abend, Ari Rappoport

Semantic representation is receiving growing attention in NLP in the past few years, and many proposals for semantic schemes (e. g., AMR, UCCA, GMB, UDS) have been put forth.

A Transition-Based Directed Acyclic Graph Parser for UCCA

1 code implementation ACL 2017 Daniel Hershcovich, Omri Abend, Ari Rappoport

We present the first parser for UCCA, a cross-linguistically applicable framework for semantic representation, which builds on extensive typological work and supports rapid annotation.

UCCA Parsing

Automatic Selection of Context Configurations for Improved Class-Specific Word Representations

no code implementations CONLL 2017 Ivan Vulić, Roy Schwartz, Ari Rappoport, Roi Reichart, Anna Korhonen

With our selected context configurations, we train on only 14% (A), 26. 2% (V), and 33. 6% (N) of all dependency-based contexts, resulting in a reduced training time.

Word Similarity

Edge-Linear First-Order Dependency Parsing with Undirected Minimum Spanning Tree Inference

no code implementations ACL 2016 Effi Levi, Roi Reichart, Ari Rappoport

The run time complexity of state-of-the-art inference algorithms in graph-based dependency parsing is super-linear in the number of input words (n).

Dependency Parsing

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