Ranit Aharonov
29 papers · 2018–2022 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (61) π Renaissance Researcher (8) π Interdisciplinary Bridge π Conference Polyglot (6) π§ Keyword Pioneer
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Keyword Pioneer
π£
Hot Topic Early Bird
π₯
Mega-Team
(22)
π
Keyword Champion
(2)
π€
Dynamic Duo
(26)
π
Trend Setter
β
The Questioner
(2)
β‘
Prolific Year
(6)
π
Conference Pioneer
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Century Club
(29)
ποΈ
Keyword Collector
(122)
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Unstoppable
(5)
Conferences
EMNLP (13)
ACL (8)
AAAI (3)
COLING (2)
IJCNLP (2)
AACL (1)
Top co-authors
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 MiningβA 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