Noam Slonim
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Israeli scientist
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Computer Science
Why Is Noam Slonim Influential?
(Suggest an Edit or Addition)According to Wikipedia, Noam Slonim is an Israeli computer scientist, specializing in Natural Language Processing and Computational Argumentation. He is an IBM Distinguished Engineer, and the Principal Investigator of Project Debater at the IBM Research lab at Haifa, Israel.
Noam Slonim's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Document clustering using word clusters via the information bottleneck method (2000) (543)
- Agglomerative Information Bottleneck (1999) (453)
- A universal framework for regulatory element discovery across all genomes and data types. (2007) (328)
- Unsupervised document classification using sequential information maximization (2002) (305)
- Information-based clustering. (2005) (228)
- Glucose regulates transcription in yeast through a network of signaling pathways (2009) (225)
- The Power of Word Clusters for Text Classification (2006) (212)
- Multivariate Information Bottleneck (2001) (205)
- Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection (2015) (196)
- Context Dependent Claim Detection (2014) (194)
- The Information Bottleneck : Theory and Applications (2006) (193)
- Predicting Customer Churn in Mobile Networks through Analysis of Social Groups (2010) (185)
- Data Clustering by Markovian Relaxation and the Information Bottleneck Method (2000) (153)
- A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics (2014) (121)
- Stance Classification of Context-Dependent Claims (2017) (118)
- Active Learning for BERT: An Empirical Study (2020) (98)
- Ab initio genotype–phenotype association reveals intrinsic modularity in genetic networks (2006) (73)
- Objective Classification of Galaxy Spectra using the Information Bottleneck Method (2000) (72)
- A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis (2019) (69)
- An autonomous debating system (2021) (66)
- Estimating mutual information and multi-information in large networks (2005) (61)
- Towards an argumentative content search engine using weak supervision (2018) (55)
- From Arguments to Key Points: Towards Automatic Argument Summarization (2020) (50)
- Automatic Argument Quality Assessment - New Datasets and Methods (2019) (48)
- Agglomerative Multivariate Information Bottleneck (2001) (47)
- Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining (2018) (46)
- Hartigan's K-Means Versus Lloyd's K-Means - Is It Time for a Change? (2013) (45)
- Maximum Likelihood and the Information Bottleneck (2002) (45)
- Unsupervised corpus–wide claim detection (2017) (43)
- Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network (2019) (40)
- Corpus Wide Argument Mining - a Working Solution (2019) (39)
- WebSuite: A Tool Suite for Harnessing Web Data (1998) (31)
- Discriminative Feature Selection via Multiclass Variable Memory Markov Model (2002) (28)
- Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization (2017) (27)
- On the Retrieval of Wikipedia Articles Containing Claims on Controversial Topics (2016) (26)
- Automatic Claim Negation: Why, How and When (2015) (25)
- Learning to combine Grammatical Error Corrections (2019) (25)
- Learning Thematic Similarity Metric from Article Sections Using Triplet Networks (2018) (24)
- Glucose regulates transcription in yeast through a network of signaling pathways (2009) (19)
- Quantitative Argument Summarization and beyond: Cross-Domain Key Point Analysis (2020) (19)
- Multilingual Argument Mining: Datasets and Analysis (2020) (19)
- Claim Synthesis via Predicate Recycling (2016) (19)
- Information Bottleneck for Non Co-Occurrence Data (2006) (19)
- Parallel Pairwise Clustering (2009) (17)
- Listening Comprehension over Argumentative Content (2018) (16)
- Argument Invention from First Principles (2019) (16)
- Learning Concept Abstractness Using Weak Supervision (2018) (16)
- The workweek is the best time to start a family – A Study of GPT-2 Based Claim Generation (2020) (15)
- SLIDE - a Sentiment Lexicon of Common Idioms (2018) (13)
- A Dataset of General-Purpose Rebuttal (2019) (13)
- IBM Research Report Data Analytics and Stochastic Modeling in a Semiconductor Fab (2009) (12)
- Out of the Echo Chamber: Detecting Countering Debate Speeches (2020) (12)
- From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion (2019) (12)
- Fast End-to-End Wikification (2019) (12)
- TR9856: A Multi-word Term Relatedness Benchmark (2015) (12)
- Claims on demand – an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora (2014) (11)
- A Unified Framework for Outlier Detection in Trace Data Analysis (2014) (11)
- Expert Stance Graphs for Computational Argumentation (2016) (11)
- Adolescents in psychodynamic psychotherapy: Changes in internal representations of relationships with parents (2013) (11)
- Fusing finetuned models for better pretraining (2022) (11)
- Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining (2019) (10)
- Efficient Methods for Natural Language Processing: A Survey (2022) (10)
- A Recorded Debating Dataset (2017) (10)
- GRASP: Rich Patterns for Argumentation Mining (2017) (10)
- Project Debater (2018) (10)
- Quality Controlled Paraphrase Generation (2022) (10)
- Learning Sentiment Composition from Sentiment Lexicons (2018) (9)
- Debating Technologies (Dagstuhl Seminar 15512) (2015) (9)
- Knowledge-analytics synergy in Clinical Decision Support. (2012) (9)
- Semantic Relatedness of Wikipedia Concepts – Benchmark Data and a Working Solution (2018) (9)
- Project Debater APIs: Decomposing the AI Grand Challenge (2021) (8)
- Active Online Classification via Information Maximization (2011) (7)
- Prognostic Data-Driven Clinical Decision Support - Formulation and Implications (2011) (7)
- YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews (2020) (7)
- Where to start? Analyzing the potential value of intermediate models (2022) (6)
- Zero-Shot Text Classification with Self-Training (2022) (6)
- Proceedings of the 5th Workshop on Argument Mining (2018) (6)
- Overview of the 2021 Key Point Analysis Shared Task (2021) (6)
- Automatic detection of inconsistencies between free text and coded data in Sarcoma discharge letters. (2012) (5)
- Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy (2022) (5)
- ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning (2022) (5)
- Cluster & Tune: Boost Cold Start Performance in Text Classification (2022) (5)
- Information based clustering: Supplementary material (2005) (5)
- Automatic Arguments Construction - From Search Engine to Research Engine (2016) (4)
- Diversity Enhanced Table-to-Text Generation via Type Control (2022) (3)
- Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours (2022) (3)
- Every Bite Is an Experience: Key Point Analysis of Business Reviews (2021) (3)
- NLP Approaches to Computational Argumentation (2016) (3)
- Methods for Global Organization of All Known Protein Sequences It Was a Pleasure to Work with the Great Team of Students with Whom I Created the Protomap Web Site. I Thank (1999) (3)
- What did you Mention? A Large Scale Mention Detection Benchmark for Spoken and Written Text (2018) (3)
- YASO: A New Benchmark for Targeted Sentiment Analysis (2020) (3)
- Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains (2020) (3)
- Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation (2019) (2)
- Syntactic Interchangeability in Word Embedding Models (2019) (2)
- Controversy in Context (2019) (2)
- Utilizing assigned treatments as labels for supervised machine learning in clinical decision support (2012) (2)
- COVID-19 Vaccine Communication via Chatbot: A Qualitative Study on Message Preferences of Young Adults and Public Health Workers in Urban American Communities. (2022) (2)
- Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis (2022) (2)
- Advances in Debating Technologies: Building AI That Can Debate Humans (2021) (2)
- What if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus (2020) (1)
- Piloting a COVID-19 vaccine chatbot with young adults and health workers in the U.S. to validate usability, credibility, and intention to use. (2022) (1)
- VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines (2022) (1)
- Revisiting Sequential Information Bottleneck: New Implementation and Evaluation (2022) (1)
- Project Debater - an autonomous debating system (2022) (0)
- SimpleStyle: An Adaptable Style Transfer Approach (2022) (0)
- Multi-Domain Targeted Sentiment Analysis (2022) (0)
- Agglomerative Multivariate InformationBottleneckNoam (2006) (0)
- 3rd Workshop on Argument Mining (2016) (0)
- Massive Corpus ~ 10 B Sentences Retrieved Sentences High Precision Claims Set Controversial Topic Queries Ranking and Boundary Detection Models Opponent Speech Opposing Claims Stance Detection Model Mentioned Claims Claim Matching Model Rebuttal (2019) (0)
- nBIIG: A Neural BI Insights Generation System for Table Reporting (2022) (0)
- Analyzing neural codes using theinformation bottleneck (2006) (0)
- Analyzing neural odes using theinformation bottlene k methodElad (2001) (0)
- Chatbot-Delivered COVID-19 Vaccine Communication Message Preferences of Young Adults and Public Health Workers in Urban American Communities: Qualitative Study (2022) (0)
- Training Context-Insensitive versus Context-Sensitive Text Classifiers using Small Data Sets (1998) (0)
- 20 15512 – Debating Technologies 2 Table of Contents Executive Summary (2016) (0)
- Usability and Credibility of a COVID-19 Vaccine Chatbot for Young Adults and Health Workers in the United States: Formative Mixed Methods Study (2023) (0)
- Predicting the reliability of classifications (2013) (0)
- Information Bottleneck for Non Co-Occurence Data Supplementary Material (0)
- X-engine data analysis year-end status report (1975) (0)
- Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization (2022) (0)
- The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers (2023) (0)
- Agglomerative Multivariate InformationBottlene (2001) (0)
- Knowledge is a Region in Weight Space for Fine-tuned Language Models (2023) (0)
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