activity
20162024
most citedConversational Prompt Engineering

5 citations · 13 across the 8 of their papers we have counts for

collaborators

11 papers

cs.CL2024★ 5 cited

Conversational Prompt Engineering

Liat Ein-Dor, Orith Toledo-Ronen, Artem Spector +5

Prompts are how humans communicate with LLMs. Informative prompts are essential for guiding LLMs to produce the desired output. However, prompt engineering is often tedious and tim…

cs.CL2022★ 2 cited

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours

Eyal Shnarch, Alon Halfon, Ariel Gera +19

Text classification can be useful in many real-world scenarios, saving a lot of time for end users. However, building a custom classifier typically requires coding skills and ML kn…

cs.CL2022★ 1 cited

Cluster & Tune: Boost Cold Start Performance in Text Classification

Eyal Shnarch, Ariel Gera, Alon Halfon +4

In real-world scenarios, a text classification task often begins with a cold start, when labeled data is scarce. In such cases, the common practice of fine-tuning pre-trained model…

cs.CL2022★ 1 cited

Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis

Liat Ein-Dor, Ilya Shnayderman, Artem Spector +3

In recent years, pretrained language models have revolutionized the NLP world, while achieving state of the art performance in various downstream tasks. However, in many cases, the…

cs.CL2021

Overview of the 2021 Key Point Analysis Shared Task

Roni Friedman, Lena Dankin, Yufang Hou +3

We describe the 2021 Key Point Analysis (KPA-2021) shared task on key point analysis that we organized as a part of the 8th Workshop on Argument Mining (ArgMining 2021) at EMNLP 20…

cs.CL2020

Metaphor Interpretation Using Word Embeddings

Kfir Bar, Nachum Dershowitz, Lena Dankin

We suggest a model for metaphor interpretation using word embeddings trained over a relatively large corpus. Our system handles nominal metaphors, like "time is money". It generate…

cs.CL2019

Corpus Wide Argument Mining -- a Working Solution

Liat Ein-Dor, Eyal Shnarch, Lena Dankin +10

One of the main tasks in argument mining is the retrieval of argumentative content pertaining to a given topic. Most previous work addressed this task by retrieving a relatively sm…

cs.CL2019

A Dataset of General-Purpose Rebuttal

Matan Orbach, Yonatan Bilu, Ariel Gera +8

In Natural Language Understanding, the task of response generation is usually focused on responses to short texts, such as tweets or a turn in a dialog. Here we present a novel tas…

cs.CL2019★ 1 cited

Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining

Tamar Lavee, Matan Orbach, Lili Kotlerman +8

Engaging in a live debate requires, among other things, the ability to effectively rebut arguments claimed by your opponent. In particular, this requires identifying these argument…

cs.LG2019★ 3 cited

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network

Martin Gleize, Eyal Shnarch, Leshem Choshen +4

With the advancement in argument detection, we suggest to pay more attention to the challenging task of identifying the more convincing arguments. Machines capable of responding an…

cs.CL2016

A Hackathon for Classical Tibetan

Orna Almogi, Lena Dankin, Nachum Dershowitz +1

We describe the course of a hackathon dedicated to the development of linguistic tools for Tibetan Buddhist studies. Over a period of five days, a group of seventeen scholars, scie…