NLPExplorer

Noam Slonim

Number of Papers:- 59

Number of Citations:- 110

First ACL Paper:- 2014

Latest ACL Paper:- 2024

Venues:-

NAACL

COLING

EMNLP

ArgMining

Findings

LREC

TACL

ACL

EACL

IJCNLP

Co-Authors:-

Similar Authors:-

Efficient Benchmarking (of Language Models) NAACL

Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy F i n d i n g s - E A C L

evision PDF of 'Zero-shot Topical Text Classification with LLMs - an Experimental Study F i n d i n g s - E M N L P

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning ACL

Knowledge is a Region in Weight Space for Fine-tuned Language Models F i n d i n g s - E M N L P

Where to start? Analyzing the potential value of intermediate models EMNLP

Active Learning for Natural Language Generation EMNLP

Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis EMNLP

Efficient Methods for Natural Language Processing: A Survey TACL

The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers ACL

Cluster & Tune: Boost Cold Start Performance in Text Classification ACL

Quality Controlled Paraphrase Generation ACL

Multi-Domain Targeted Sentiment Analysis NAACL

Orith Toledo-Ronen | Matan Orbach | Yoav Katz | Noam Slonim |

Zero-Shot Text Classification with Self-Training EMNLP

Advances in Debating Technologies: Building AI That Can Debate Humans ACL IJCNLP

Project Debater APIs: Decomposing the AI Grand Challenge EMNLP

Overview of the 2021 Key Point Analysis Shared Task ArgMining EMNLP

Every Bite Is an Experience: Key Point Analysis of Business Reviews ACL IJCNLP

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews EMNLP

From Arguments to Key Points: Towards Automatic Argument Summarization ACL

Out of the Echo Chamber: Detecting Countering Debate Speeches ACL

Active Learning for BERT: An Empirical Study EMNLP

Quantitative argument summarization and beyond: Cross-domain key point analysis EMNLP

Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains EMNLP Findings

The workweek is the best time to start a family – A Study of GPT-2 Based Claim Generation EMNLP Findings

Shai Gretz | Yonatan Bilu | Edo Cohen-Karlik | Noam Slonim |

Multilingual Argument Mining: Datasets and Analysis EMNLP Findings

A Dataset of General-Purpose Rebuttal EMNLP

Automatic Argument Quality Assessment - New Datasets and Methods EMNLP

Financial Event Extraction Using Wikipedia-Based Weak Supervision EMNLP WS

Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation EMNLP WS

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network ACL

From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion ACL

Argument Invention from First Principles ACL

Syntactic Interchangeability in Word Embedding Models NAACL WS

Daniel Hershcovich | Assaf Toledo | Alon Halfon | Noam Slonim |

Learning to combine Grammatical Error Corrections ACL WS

Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining ACL WS

Towards an argumentative content search engine using weak supervision COLING

Learning Sentiment Composition from Sentiment Lexicons COLING

Listening Comprehension over Argumentative Content EMNLP

Learning Concept Abstractness Using Weak Supervision EMNLP

A Recorded Debating Dataset LREC

SLIDE - a Sentiment Lexicon of Common Idioms LREC

Charles Jochim | Francesca Bonin | Roy Bar-Haim | Noam Slonim |

Semantic Relatedness of Wikipedia Concepts – Benchmark Data and a Working Solution LREC

Learning Thematic Similarity Metric from Article Sections Using Triplet Networks ACL

Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining ACL

Proceedings of the 5th Workshop on Argument Mining EMNLP WS

Noam Slonim | Ranit Aharonov |

GRASP: Rich Patterns for Argumentation Mining EMNLP

Eyal Shnarch | Ran Levy | Vikas Raykar | Noam Slonim |

Stance Classification of Context-Dependent Claims EACL

Proceedings of the 4th Workshop on Argument Mining ArgMining WS

Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization ArgMining WS

Roy Bar-Haim | Lilach Edelstein | Charles Jochim | Noam Slonim |

Unsupervised corpus–wide claim detection ArgMining WS

Claim Synthesis via Predicate Recycling ACL

Yonatan Bilu | Noam Slonim |

Expert Stance Graphs for Computational Argumentation ArgMining WS

Orith Toledo-Ronen | Roy Bar-Haim | Noam Slonim |

Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection EMNLP

TR9856: A Multi-word Term Relatedness Benchmark ACL IJCNLP

Automatic Claim Negation: Why, How and When WS

Yonatan Bilu | Daniel Hershcovich | Noam Slonim |

Context Dependent Claim Detection COLING

Claims on demand – an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora COLING

A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics WS