Catherine Havasi

发表

AffectiveSpace: Blending Common Sense and Affective Knowledge to Perform Emotive Reasoning

E. Cambria, A. Hussain, Catherine Havasi, 2009 .

On the plasticity of semantic generalizations: children and adults modify their verb lexicalization biases in response to changing input.

J. Snedeker, Catherine Havasi, Carissa Shafto, 2014, Developmental psychology.

Applying Common Sense Using Dimensionality Reduction

Henry Lieberman, James Pustejovsky, Catherine Havasi, 2009 .

Commonsense knowledge : papers from the AAAI Fall Symposium

Benjamin Van Durme, Catherine Havasi, Doug Lenat, 2010 .

Towards a Generative Lexical Resource: The Brandeis Semantic Ontology

James Pustejovsky, Anna Rumshisky, Marc Verhagen, 2006, LREC.

Representing General Relational Knowledge in ConceptNet 5

Catherine Havasi, R. Speer, Catherine Havasi, 2012, LREC.

ConceptNet 5.5: An Open Multilingual Graph of General Knowledge pdf

Catherine Havasi, Joshua Chin, Robyn Speer, 2016, AAAI.

New Avenues in Opinion Mining and Sentiment Analysis

Björn W. Schuller, Erik Cambria, Yunqing Xia, 2013, IEEE Intelligent Systems.

Sentic Computing for social media marketing

Erik Cambria, Amir Hussain, Marco Grassi, 2012, Multimedia Tools and Applications.

Sentic Computing: Exploitation of Common Sense for the Development of Emotion-Sensitive Systems

Erik Cambria, Amir Hussain, Chris Eckl, 2009, COST 2102 Training School.

ConceptNet 5: A Large Semantic Network for Relational Knowledge

Catherine Havasi, R. Speer, Catherine Havasi, 2013, The People's Web Meets NLP.

Combining pre-trained language models and structured knowledge pdf

Catherine Havasi, Jason B. Alonso, Jason Alonso, 2021, ArXiv.

SenticNet: A Publicly Available Semantic Resource for Opinion Mining

Erik Cambria, Amir Hussain, Catherine Havasi, 2010, AAAI Fall Symposium: Commonsense Knowledge.

Modeling Verb Lexicalization Biases using Hierarchical Bayesian Models

Catherine Havasi, R. Speer, Catherine Havasi, 2011, CogSci.

SenticNet 2: A Semantic and Affective Resource for Opinion Mining and Sentiment Analysis

Erik Cambria, Amir Hussain, Catherine Havasi, 2012, FLAIRS.

AnalogySpace: Reducing the Dimensionality of Common Sense Knowledge

Henry Lieberman, Catherine Havasi, R. Speer, 2008, AAAI.

Sentic Computing for patient centered applications

Erik Cambria, Amir Hussain, James Munro, 2010, IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS.

Knowledge-Based Approaches to Concept-Level Sentiment Analysis

Björn W. Schuller, Haixun Wang, Erik Cambria, 2013, IEEE Intell. Syst..

An interface for targeted collection of common sense knowledge using a mixture model

Henry Lieberman, Catherine Havasi, Kenneth C. Arnold, 2009, IUI.

Statistical Approaches to Concept-Level Sentiment Analysis

Björn W. Schuller, Haixun Wang, Erik Cambria, 2013, IEEE Intell. Syst..

Bayesian modeling of manner and path psychological data

Catherine Andrea Havasi, Catherine Havasi, 2004 .

ConceptNet: A lexical resource for common sense knowledge

Catherine Havasi, Jason B. Alonso, Jason Alonso, 2009 .

Automated Color Selection Using Semantic Knowledge

Catherine Havasi, R. Speer, Justin Holmgren, 2010, AAAI Fall Symposium: Commonsense Knowledge.

Common Sense Computing: From the Society of Mind to Digital Intuition and beyond

Erik Cambria, Amir Hussain, Chris Eckl, 2009, COST 2101/2102 Conference.

ConceptNet 3 : a Flexible , Multilingual Semantic Network for Common Sense Knowledge

Catherine Havasi, Jason B. Alonso, Jason Alonso, 2007 .

SenticSpace: Visualizing Opinions and Sentiments in a Multi-dimensional Vector Space

Erik Cambria, Amir Hussain, Chris Eckl, 2010, KES.

RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations pdf

Henry Lieberman, Catherine Havasi, Pedro Colon-Hernandez, 2021, FINDINGS.

Digital Intuition: Applying Common Sense Using Dimensionality Reduction

Henry Lieberman, James Pustejovsky, Catherine Havasi, 2009, IEEE Intelligent Systems.

Conference on Empirical Methods in Natural Language Processing Proceedings of the Fourth International Workshop on Natural Language Processing for Social Media Socialnlp@emnlp2016 Chairs' Welcome Identifying and Categorizing Disaster-related Tweets Why Do They Leave: Modeling Participation in Online

Nicholas Jing Yuan, Noah A. Smith, William Yang Wang, 2022 .

Commonsense Reasoning for Conversational AI: A Survey of Recent Datasets and Benchmarks

Varun R. Embar, L. Getoor, Noam M. Shazeer, 2022 .

Constructing a Corpus-based Ontology Using Model Bias

James Pustejovsky, Anna Rumshisky, Catherine Havasi, 2006, FLAIRS.