Ranit Aharonov
27 papers · 2018–2022 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Gold π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (53) π€ Dynamic Duo (24)
π₯
Mega-Team Β· Squad
π€
Dynamic Duo
(24)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(6)
ποΈ
Keyword Collector
(120)
Venues
Top co-authors
Research topics
Natural Language Processing
(20)
Machine Learning
(18)
Applications
(15)
Learning Types Β· Machine Learning
(12)
Core Methods
(11)
Artificial Intelligence
(10)
Core AI
(9)
Deep Learning
(6)
Generation
(5)
Learning Types Β· Deep Learning
(4)
Application Areas
(3)
Interdisciplinary
(2)
Architectures
(2)
Learning Paradigms
(2)
Linguistics
(2)
Keywords
argument mining
(9)
text classification
(6)
neural network
(4)
natural language processing
(4)
listening comprehension
(3)
text pair classification
(2)
argument detection
(2)
argumentation mining
(2)
claim detection
(2)
language model
(2)
weak supervision
(2)
abstractive summarization
(2)
text mining
(2)
debate analysis
(2)
active learning
(2)
natural language understanding
(2)
question answering
(2)
semantic similarity
(2)
sentiment analysis
(2)
weakly supervised learning
(1)
Papers
Cluster & Tune: Boost Cold Start Performance in Text Classification
ACL 2022
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis
AAAI 2022
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours
EMNLP 2022
Quality Controlled Paraphrase Generation
ACL 2022
Overview of the 2021 Key Point Analysis Shared Task
EMNLP 2021
TWEETSUMM - A Dialog Summarization Dataset for Customer Service
EMNLP 2021
Using Question Answering Rewards to Improve Abstractive Summarization
EMNLP 2021
YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews
EMNLP 2021
Active Learning for BERT: An Empirical Study
EMNLP 2020
A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis
AAAI 2020
A Survey of the State of Explainable AI for Natural Language Processing
AACL 2020
Corpus Wide Argument MiningβA Working Solution
AAAI 2020
Out of the Echo Chamber: Detecting Countering Debate Speeches
ACL 2020
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains
EMNLP 2020
A Dataset of General-Purpose Rebuttal
EMNLP 2019
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
ACL 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
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
Learning Concept Abstractness Using Weak Supervision
EMNLP 2018
Learning Sentiment Composition from Sentiment Lexicons
COLING 2018
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks
ACL 2018
Listening Comprehension over Argumentative Content
EMNLP 2018
Proceedings of the 5th Workshop on Argument Mining
EMNLP 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