Noam Slonim

Orcid: 0000-0001-5171-8264

Affiliations:
  • IBM Research


According to our database1, Noam Slonim authored at least 99 papers between 1998 and 2024.

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Bibliography

2024
Conversational Prompt Engineering.
CoRR, 2024

Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications.
CoRR, 2024

Efficient Benchmarking (of Language Models).
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023
Efficient Methods for Natural Language Processing: A Survey.
Trans. Assoc. Comput. Linguistics, 2023

Active Learning for Natural Language Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Knowledge is a Region in Weight Space for Fine-tuned Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Zero-shot Topical Text Classification with LLMs - an Experimental Study.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Where to start? Analyzing the potential value of intermediate models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

nBIIG: A Neural BI Insights Generation System for Table Reporting.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Revisiting Sequential Information Bottleneck: New Implementation and Evaluation.
Entropy, 2022

SimpleStyle: An Adaptable Style Transfer Approach.
CoRR, 2022

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning.
CoRR, 2022

Efficient Methods for Natural Language Processing: A Survey.
CoRR, 2022

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours.
CoRR, 2022

VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines.
CoRR, 2022

Diversity Enhanced Table-to-Text Generation via Type Control.
CoRR, 2022

Fusing finetuned models for better pretraining.
CoRR, 2022

Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization.
CoRR, 2022

Multi-Domain Targeted Sentiment Analysis.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Project Debater - an autonomous debating system.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics 2022 (ISAIM 2022), 2022

Zero-Shot Text Classification with Self-Training.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Cluster & Tune: Boost Cold Start Performance in Text Classification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Quality Controlled Paraphrase Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
An autonomous debating system.
Nat., 2021

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Project Debater APIs: Decomposing the AI Grand Challenge.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

Overview of the 2021 Key Point Analysis Shared Task.
Proceedings of the 8th Workshop on Argument Mining, 2021

Every Bite Is an Experience: Key Point Analysis of Business Reviews.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
YASO: A New Benchmark for Targeted Sentiment Analysis.
CoRR, 2020

What if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus.
CoRR, 2020

Multilingual Argument Mining: Datasets and Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

The workweek is the best time to start a family - A Study of GPT-2 Based Claim Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Active Learning for BERT: An Empirical Study.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Quantitative argument summarization and beyond: Cross-domain key point analysis.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Out of the Echo Chamber: Detecting Countering Debate Speeches.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

From Arguments to Key Points: Towards Automatic Argument Summarization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Corpus Wide Argument Mining - A Working Solution.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Controversy in Context.
CoRR, 2019

Fast End-to-End Wikification.
CoRR, 2019

Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining.
CoRR, 2019

Syntactic Interchangeability in Word Embedding Models.
CoRR, 2019

Automatic Argument Quality Assessment - New Datasets and Methods.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Dataset of General-Purpose Rebuttal.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning to combine Grammatical Error Corrections.
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining.
Proceedings of the 6th Workshop on Argument Mining, ArgMining@ACL 2019, Florence, Italy, 2019

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Argument Invention from First Principles.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
What did you Mention? A Large Scale Mention Detection Benchmark for Spoken and Written Text.
CoRR, 2018

A Recorded Debating Dataset.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

SLIDE - a Sentiment Lexicon of Common Idioms.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Learning Concept Abstractness Using Weak Supervision.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Listening Comprehension over Argumentative Content.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Project Debater.
Proceedings of the Computational Models of Argument, 2018

Learning Sentiment Composition from Sentiment Lexicons.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Towards an argumentative content search engine using weak supervision.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Learning Thematic Similarity Metric from Article Sections Using Triplet Networks.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
GRASP: Rich Patterns for Argumentation Mining.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Stance Classification of Context-Dependent Claims.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Unsupervised corpus-wide claim detection.
Proceedings of the 4th Workshop on Argument Mining, 2017

Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization.
Proceedings of the 4th Workshop on Argument Mining, 2017

2016
On the Retrieval of Wikipedia Articles Containing Claims on Controversial Topics.
Proceedings of the 25th International Conference on World Wide Web, 2016

Expert Stance Graphs for Computational Argumentation.
Proceedings of the Third Workshop on Argument Mining, 2016

Claim Synthesis via Predicate Recycling.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Automatic Arguments Construction - From Search Engine to Research Engine.
Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

2015
Debating Technologies (Dagstuhl Seminar 15512).
Dagstuhl Reports, 2015

Automatic Claim Negation: Why, How and When.
Proceedings of the 2nd Workshop on Argumentation Mining, 2015

Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

TR9856: A Multi-word Term Relatedness Benchmark.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora.
Proceedings of the COLING 2014, 2014

Context Dependent Claim Detection.
Proceedings of the COLING 2014, 2014

A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics.
Proceedings of the First Workshop on Argument Mining, 2014

2013
Hartigan's K-Means Versus Lloyd's K-Means - Is It Time for a Change?
Proceedings of the IJCAI 2013, 2013

2012
Utilizing assigned treatments as labels for supervised machine learning in clinical decision support.
Proceedings of the ACM International Health Informatics Symposium, 2012

2011
Prognostic Data-Driven Clinical Decision Support - Formulation and Implications.
Proceedings of the User Centered Networked Health Care - Proceedings of MIE 2011, 2011

Active Online Classification via Information Maximization.
Proceedings of the IJCAI 2011, 2011

2010
Predicting Customer Churn in Mobile Networks through Analysis of Social Groups.
Proceedings of the SIAM International Conference on Data Mining, 2010

2009
Parallel Pairwise Clustering.
Proceedings of the SIAM International Conference on Data Mining, 2009

2006
Multivariate Information Bottleneck.
Neural Comput., 2006

Information Bottleneck for Non Co-Occurrence Data.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
Estimating mutual information and multi-information in large networks
CoRR, 2005

2003
Discriminative Feature Selection via Multiclass Variable Memory Markov Model.
EURASIP J. Adv. Signal Process., 2003

2002
Unsupervised document classification using sequential information maximization.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Maximum Likelihood and the Information Bottleneck.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Multivariate Information Bottleneck.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Agglomerative Multivariate Information Bottleneck.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Document clustering using word clusters via the information bottleneck method.
Proceedings of the SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000

Data Clustering by Markovian Relaxation and the Information Bottleneck Method.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Agglomerative Information Bottleneck.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998
WebSuite: A Tool Suite for Harnessing Web Data.
Proceedings of the World Wide Web and Databases, 1998


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