Search Results for author: Orith Toledo-Ronen

Found 9 papers, 1 papers with code

Conversational Prompt Engineering

no code implementations8 Aug 2024 Liat Ein-Dor, Orith Toledo-Ronen, Artem Spector, Shai Gretz, Lena Dankin, Alon Halfon, Yoav Katz, Noam Slonim

We propose Conversational Prompt Engineering (CPE), a user-friendly tool that helps users create personalized prompts for their specific tasks.

Prompt Engineering

Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications

no code implementations25 Jul 2024 Alon Halfon, Shai Gretz, Ofir Arviv, Artem Spector, Orith Toledo-Ronen, Yoav Katz, Liat Ein-Dor, Michal Shmueli-Scheuer, Noam Slonim

Here, we provide recommended HP configurations for practical use-cases that represent a better starting point for practitioners, when considering two SOTA LLMs and two commonly used tuning methods.

Multi-Domain Targeted Sentiment Analysis

no code implementations NAACL 2022 Orith Toledo-Ronen, Matan Orbach, Yoav Katz, Noam Slonim

Our results and analysis show that our approach is a promising step towards a practical domain-robust TSA system.

Diversity Sentiment Analysis

Multilingual Argument Mining: Datasets and Analysis

no code implementations Findings of the Association for Computational Linguistics 2020 Orith Toledo-Ronen, Matan Orbach, Yonatan Bilu, Artem Spector, Noam Slonim

The growing interest in argument mining and computational argumentation brings with it a plethora of Natural Language Understanding (NLU) tasks and corresponding datasets.

Argument Mining Machine Translation +3

Financial Event Extraction Using Wikipedia-Based Weak Supervision

no code implementations WS 2019 Liat Ein-Dor, Ariel Gera, Orith Toledo-Ronen, Alon Halfon, Benjamin Sznajder, Lena Dankin, Yonatan Bilu, Yoav Katz, Noam Slonim

Extraction of financial and economic events from text has previously been done mostly using rule-based methods, with more recent works employing machine learning techniques.

BIG-bench Machine Learning Event Extraction

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