← Authors

Ranit Aharonov

29 papers · 2018–2022 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (6) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (61) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ‘₯ Mega-Team (22) πŸ† Keyword Champion (2) 🀝 Dynamic Duo (26) πŸ“ˆ Trend Setter ❓ The Questioner (2) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ’Ž Century Club (29) πŸ—ƒοΈ Keyword Collector (122) πŸ”₯ Unstoppable (5)

Conferences

EMNLP (13) ACL (8) AAAI (3) COLING (2) IJCNLP (2) AACL (1)

Top co-authors

Noam Slonim (26) Lena Dankin (11) Michal Jacovi (8) Yonatan Bilu (8) Alon Halfon (7) Leshem Choshen (7) Eyal Shnarch (7) Matan Orbach (7) Ariel Gera (6) Liat Ein-Dor (5)

Keywords

argument mining (9) text classification (6) natural language processing (5) neural network (4) listening comprehension (3) natural language understanding (3) argument quality (2) neural method (2) abstractive summarization (2) argumentation mining (2) semantic similarity (2) response generation (2) text mining (2) debate analysis (2) active learning (2) language model (2) question answering (2) weak supervision (2) sentiment analysis (2) claim detection (2)

Papers

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours EMNLP 2022
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis AAAI 2022
Cluster & Tune: Boost Cold Start Performance in Text Classification ACL 2022
Quality Controlled Paraphrase Generation ACL 2022
Using Question Answering Rewards to Improve Abstractive Summarization EMNLP 2021
YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews EMNLP 2021
Overview of the 2021 Key Point Analysis Shared Task EMNLP 2021
TWEETSUMM - A Dialog Summarization Dataset for Customer Service EMNLP 2021
A Survey of the State of Explainable AI for Natural Language Processing AACL 2020
Out of the Echo Chamber: Detecting Countering Debate Speeches ACL 2020
Corpus Wide Argument Miningβ€”A Working Solution AAAI 2020
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains EMNLP 2020
Active Learning for BERT: An Empirical Study EMNLP 2020
A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis AAAI 2020
Automatic Argument Quality Assessment - New Datasets and Methods IJCNLP 2019
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network ACL 2019
From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion ACL 2019
Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining ACL 2019
A Dataset of General-Purpose Rebuttal EMNLP 2019
Automatic Argument Quality Assessment - New Datasets and Methods EMNLP 2019
Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation EMNLP 2019
A Dataset of General-Purpose Rebuttal IJCNLP 2019
Learning Concept Abstractness Using Weak Supervision EMNLP 2018
Listening Comprehension over Argumentative Content EMNLP 2018
Learning Sentiment Composition from Sentiment Lexicons COLING 2018
Towards an argumentative content search engine using weak supervision COLING 2018
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining ACL 2018
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks ACL 2018
Proceedings of the 5th Workshop on Argument Mining EMNLP 2018