Learning Concept Abstractness Using Weak Supervision

no code implementations • EMNLP 2018 • Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim

We introduce a weakly supervised approach for inferring the property of abstractness of words and expressions in the complete absence of labeled data.

Fast End-to-End Wikification

no code implementations • 19 Aug 2019 • Ilya Shnayderman, Liat Ein-Dor, Yosi Mass, Alon Halfon, Benjamin Sznajder, Artem Spector, Yoav Katz, Dafna Sheinwald, Ranit Aharonov, Noam Slonim

Wikification of large corpora is beneficial for various NLP applications.

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

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews

2 code implementations • EMNLP 2021 • Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim

Current TSA evaluation in a cross-domain setup is restricted to the small set of review domains available in existing datasets.

Aspect Extraction Sentiment Analysis

Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis

1 code implementation • 6 Jan 2022 • Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim

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

Continual Pretraining Sentiment Analysis