Eyal Shnarch
22 papers · 2006–2024 · 8 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
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🗺️ Taxonomy Completionist (37) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(11)
👥
Mega-Team · Squad
❓
The Questioner
(2)
💎
Century Club · Bronze
🗃️
Keyword Collector
(67)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(12)
Natural Language Processing
(9)
Learning Types · Machine Learning
(8)
Applications
(7)
Artificial Intelligence
(6)
Core Methods
(6)
Core AI
(5)
Deep Learning
(3)
Application Areas
(2)
Architectures
(2)
Generation
(2)
Learning Types · Deep Learning
(2)
Computer Science
(1)
Interdisciplinary
(1)
Foundations
(1)
Keywords
text classification
(5)
active learning
(3)
argumentation mining
(2)
argument mining
(2)
transfer learning
(1)
domain adaptation
(1)
contrastive learning
(1)
knowledge extraction
(1)
model selection
(1)
language model evaluation
(1)
text mining
(1)
natural language inference
(1)
information extraction
(1)
text generation
(1)
information retrieval
(1)
text analysis
(1)
natural language processing
(1)
bert model
(1)
document retrieval
(1)
semi-supervised learning
(1)
Papers
Achieving Human Parity in Content-Grounded Datasets Generation
ICLR 2024
Efficient Benchmarking (of Language Models)
NAACL 2024
Label-Efficient Model Selection for Text Generation
ACL 2024
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers
ACL 2023
Cluster & Tune: Boost Cold Start Performance in Text Classification
ACL 2022
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours
EMNLP 2022
Zero-Shot Text Classification with Self-Training
EMNLP 2022
Active Learning for BERT: An Empirical Study
EMNLP 2020
Corpus Wide Argument Mining—A Working Solution
AAAI 2020
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains
EMNLP 2020
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
ACL 2019
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining
ACL 2018
GRASP: Rich Patterns for Argumentation Mining
EMNLP 2017
PLIS: a Probabilistic Lexical Inference System
ACL 2013
A Probabilistic Lexical Model for Ranking Textual Inferences
SemEval 2012
A Probabilistic Modeling Framework for Lexical Entailment
ACL 2011
Recognising Entailment within Discourse
COLING 2010
Evaluating the Inferential Utility of Lexical-Semantic Resources
EACL 2009
Extracting Lexical Reference Rules from Wikipedia
ACL 2009
Text Categorization from Category Name via Lexical Reference
NAACL 2009
Instance-based Evaluation of Entailment Rule Acquisition
ACL 2007
Lexical Reference: a Semantic Matching Subtask
EMNLP 2006