Search Results for author: Moshe Koppel

Found 17 papers, 0 papers with code

MRL Parsing Without Tears: The Case of Hebrew

no code implementations11 Mar 2024 Shaltiel Shmidman, Avi Shmidman, Moshe Koppel, Reut Tsarfaty

Syntactic parsing remains a critical tool for relation extraction and information extraction, especially in resource-scarce languages where LLMs are lacking.

Dependency Parsing POS +2

Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew

no code implementations25 Sep 2023 Shaltiel Shmidman, Avi Shmidman, Amir David Nissan Cohen, Moshe Koppel

As a commitment to promoting research and development in the Hebrew language, we release both the foundation model and the instruct-tuned model under a Creative Commons license.

Language Modelling Sentiment Analysis

DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew

no code implementations31 Aug 2023 Shaltiel Shmidman, Avi Shmidman, Moshe Koppel

We present DictaBERT, a new state-of-the-art pre-trained BERT model for modern Hebrew, outperforming existing models on most benchmarks.

Morphological Tagging Question Answering +1

Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language

no code implementations3 Aug 2022 Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, Cheyn Shmuel Shmidman, Eli Handel, Moshe Koppel

We present a new pre-trained language model (PLM) for Rabbinic Hebrew, termed Berel (BERT Embeddings for Rabbinic-Encoded Language).

Language Modelling

Genetic Algorithms for Evolving Computer Chess Programs

no code implementations21 Nov 2017 Eli David, H. Jaap van den Herik, Moshe Koppel, Nathan S. Netanyahu

The evaluation function of the program is evolved by learning from databases of (human) grandmaster games.

Expert-Driven Genetic Algorithms for Simulating Evaluation Functions

no code implementations18 Nov 2017 Eli David, Moshe Koppel, Nathan S. Netanyahu

In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function's parameters for computer chess.

Simulating Human Grandmasters: Evolution and Coevolution of Evaluation Functions

no code implementations18 Nov 2017 Eli David, H. Jaap van den Herik, Moshe Koppel, Nathan S. Netanyahu

This paper demonstrates the use of genetic algorithms for evolving a grandmaster-level evaluation function for a chess program.

Genetic Algorithms for Mentor-Assisted Evaluation Function Optimization

no code implementations18 Nov 2017 Eli David, Moshe Koppel, Nathan S. Netanyahu

In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function's parameters for computer chess.

Shamela: A Large-Scale Historical Arabic Corpus

no code implementations WS 2016 Yonatan Belinkov, Alexander Magidow, Maxim Romanov, Avi Shmidman, Moshe Koppel

Arabic is a widely-spoken language with a rich and long history spanning more than fourteen centuries.

Identification of Parallel Passages Across a Large Hebrew/Aramaic Corpus

no code implementations28 Feb 2016 Avi Shmidman, Moshe Koppel, Ely Porat

We propose a method for efficiently finding all parallel passages in a large corpus, even if the passages are not quite identical due to rephrasing and orthographic variation.

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