Ranit Aharonov

According to our database1, Ranit Aharonov authored at least 34 papers between 2016 and 2022.

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Bibliography

2022
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours.
CoRR, 2022

Cluster & Tune: Boost Cold Start Performance in Text Classification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Quality Controlled Paraphrase Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
An autonomous debating system.
Nat., 2021

TWEETSUMM - A Dialog Summarization Dataset for Customer Service.
CoRR, 2021

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Using Question Answering Rewards to Improve Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

TWEETSUMM - A Dialog Summarization Dataset for Customer Service.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Overview of the 2021 Key Point Analysis Shared Task.
Proceedings of the 8th Workshop on Argument Mining, 2021

2020
YASO: A New Benchmark for Targeted Sentiment Analysis.
CoRR, 2020

Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation.
CoRR, 2020

A Survey of the State of Explainable AI for Natural Language Processing.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Active Learning for BERT: An Empirical Study.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Out of the Echo Chamber: Detecting Countering Debate Speeches.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Corpus Wide Argument Mining - A Working Solution.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Controversy in Context.
CoRR, 2019

Fast End-to-End Wikification.
CoRR, 2019

Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining.
CoRR, 2019

Automatic Argument Quality Assessment - New Datasets and Methods.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Dataset of General-Purpose Rebuttal.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining.
Proceedings of the 6th Workshop on Argument Mining, ArgMining@ACL 2019, Florence, Italy, 2019

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Learning Concept Abstractness Using Weak Supervision.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Listening Comprehension over Argumentative Content.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning Sentiment Composition from Sentiment Lexicons.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Towards an argumentative content search engine using weak supervision.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Learning Thematic Similarity Metric from Article Sections Using Triplet Networks.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Unsupervised corpus-wide claim detection.
Proceedings of the 4th Workshop on Argument Mining, 2017

2016
Identifying and Investigating Unexpected Response to Treatment: A Diabetes Case Study.
Big Data, 2016


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