Giuseppe Carenini

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 113

Top Venues

Publications

Jordon Johnson, Spencer Yao, Giuseppe Carenini, Jonathan Evans
Flexible Visual Preference Inspection in Group Decision Making. AVI (2024)
Amirhossein Abaskohi, AmirHossein Dabiri Aghdam, Lele Wang, Giuseppe Carenini
BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes. CoRR (2024)
Yuxi Feng, Raymond Li, Zhenan Fan, Giuseppe Carenini, Mohammadreza Pourreza, Weiwei Zhang, Yong Zhang
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning. CoRR (2024)
Felipe González-Pizarro, Giuseppe Carenini
Neural Multimodal Topic Modeling: A Comprehensive Evaluation. CoRR (2024)
Felipe González-Pizarro, Giuseppe Carenini
Neural Multimodal Topic Modeling: A Comprehensive Evaluation. LREC/COLING (2024)
Giuseppe Carenini, Jordon Johnson, Ali Salamatian
Captioning Visualizations with Large Language Models (CVLLM): A Tutorial. CoRR (2024)
Wen Xiao, Yujia Xie, Giuseppe Carenini, Pengcheng He
Personalized Abstractive Summarization by Tri-agent Generation Pipeline. EACL (Findings) (2024)
Linzi Xing, Quan Hung Tran, Fabian Caba, Franck Dernoncourt, Seunghyun Yoon, Zhaowen Wang, Trung Bui, Giuseppe Carenini
Multi-modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation. MMM (3) (2024)
Raymond Li, Felipe González-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini
Diversity-Aware Coherence Loss for Improving Neural Topic Models. CoRR (2023)
Chuyuan Li, Patrick Huber, Wen Xiao, Maxime Amblard, Chloé Braud, Giuseppe Carenini
Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues. EACL (Findings) (2023)
Chuyuan Li, Patrick Huber, Wen Xiao, Maxime Amblard, Chloé Braud, Giuseppe Carenini
Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues. CoRR (2023)
Raymond Li, Gabriel Murray, Giuseppe Carenini
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models. EMNLP (Findings) (2023)
Linzi Xing, Quan Hung Tran, Fabian Caba, Franck Dernoncourt, Seunghyun Yoon, Zhaowen Wang, Trung Bui, Giuseppe Carenini
Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation. CoRR (2023)
Raymond Li, Gabriel Murray, Giuseppe Carenini
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models. CoRR (2023)
Wen Xiao, Yujia Xie, Giuseppe Carenini, Pengcheng He
ChatGPT-steered Editing Instructor for Customization of Abstractive Summarization. CoRR (2023)
Raymond Li, Felipe González-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini
Diversity-Aware Coherence Loss for Improving Neural Topic Models. ACL (2) (2023)
Raymond Li, Ruixin Yang, Wen Xiao, Ahmed AbuRa'ed, Gabriel Murray, Giuseppe Carenini
Visual Analytics for Generative Transformer Models. CoRR (2023)
Rindranirina Ramamonjison, Timothy T. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. CoRR (2023)
Linzi Xing, Brad Hackinen, Giuseppe Carenini
Tracing Influence at Scale: A Contrastive Learning Approach to Linking Public Comments and Regulator Responses. CoRR (2023)
Anuj Harisinghani, Harshinee Sriram, Cristina Conati, Giuseppe Carenini, Thalia Shoshana Field, Hyeju Jang, Gabriel Murray
Classification of Alzheimer's using Deep-learning Methods on Webcam-based Gaze Data. Proc. ACM Hum. Comput. Interact. 7 (ETRA) (2023)
Yan Liu, Maria Laricheva, Chiyu Zhang, Patrick Boutet, Guanyu Chen, Terence Tracey, Giuseppe Carenini, Richard Young
Transition to Adulthood for Young People with Intellectual or Developmental Disabilities: Emotion Detection and Topic Modeling. CoRR (2022)
Patrick Huber, Giuseppe Carenini
Unsupervised Inference of Data-Driven Discourse Structures using a Tree Auto-Encoder. CoRR (2022)
Maria Laricheva, Chiyu Zhang, Yan Liu, Guanyu Chen, Terence Tracey, Richard Young, Giuseppe Carenini
Automated Utterance Labeling of Conversations Using Natural Language Processing. CoRR (2022)
Maria Laricheva, Chiyu Zhang, Yan Liu, Guanyu Chen, Terence Tracey, Richard Young, Giuseppe Carenini
Automated Utterance Labeling of Conversations Using Natural Language Processing. SBP-BRiMS (2022)
Patrick Huber, Giuseppe Carenini
Large Discourse Treebanks from Scalable Distant Supervision. CoRR (2022)
Wen Xiao, Lesly Miculicich, Yang Liu, Pengcheng He, Giuseppe Carenini
Attend to the Right Context: A Plug-and-Play Module for Content-Controllable Summarization. CoRR (2022)
Wen Xiao, Giuseppe Carenini
Entity-based SpanCopy for Abstractive Summarization to Improve the Factual Consistency. CoRR (2022)
Patrick Huber, Giuseppe Carenini
Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models. NAACL-HLT (2022)
Wen Xiao, Iz Beltagy, Giuseppe Carenini, Arman Cohan
PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization. ACL (1) (2022)
Emily Hindalong, Jordon Johnson, Giuseppe Carenini, Tamara Munzner
Abstractions for Visualizing Preferences in Group Decisions. Proc. ACM Hum. Comput. Interact. 6 (CSCW1) (2022)
Yan Liu, Maria Laricheva, Chiyu Zhang, Patrick Boutet, Guanyu Chen, Terence Tracey, Giuseppe Carenini, Richard Young
Transition to Adulthood for Young People with Intellectual or Developmental Disabilities: Emotion Detection and Topic Modeling. SBP-BRiMS (2022)
Patrick Huber, Giuseppe Carenini
Towards Domain-Independent Supervised Discourse Parsing Through Gradient Boosting. CoRR (2022)
Raymond Li, Wen Xiao, Linzi Xing, Lanjun Wang, Gabriel Murray, Giuseppe Carenini
Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation. EMNLP (2022)
Patrick Huber, Giuseppe Carenini
Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models. CoRR (2022)
Patrick Huber, Linzi Xing, Giuseppe Carenini
Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation. AAAI (2022)
Linzi Xing, Patrick Huber, Giuseppe Carenini
Improving Topic Segmentation by Injecting Discourse Dependencies. CoRR (2022)
Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. NeurIPS (Competition and Demos) (2021)
Weirui Kong, Hyeju Jang, Giuseppe Carenini, Thalia Shoshana Field
Exploring neural models for predicting dementia from language. Comput. Speech Lang. 68 (2021)
Raymond Li, Enamul Hoque, Giuseppe Carenini, Richard Lester, Raymond Chau
ConVIScope: Visual Analytics for Exploring Patient Conversations. IEEE VIS (Short Papers) (2021)
Hyeju Jang, Seojin Bang, Wen Xiao, Giuseppe Carenini, Raymond T. Ng, Young Ji Lee
KW-ATTN: Knowledge Infused Attention for Accurate and Interpretable Text Classification. DeeLIO@NAACL-HLT (2021)
Wen Xiao, Iz Beltagy, Giuseppe Carenini, Arman Cohan
PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization. CoRR (2021)
Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP. CoRR (2021)
Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini
T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP. EMNLP (Demos) (2021)
Raymond Li, Wen Xiao, Lanjun Wang, Giuseppe Carenini
Human Interpretation and Exploitation of Self-attention Patterns in Transformers: A Case Study in Extractive Summarization. CoRR (2021)
Linzi Xing, Wen Xiao, Giuseppe Carenini
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning. ACL/IJCNLP (2) (2021)
Linzi Xing, Wen Xiao, Giuseppe Carenini
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning. CoRR (2021)
Patrick Huber, Giuseppe Carenini
Unsupervised Learning of Discourse Structures using a Tree Autoencoder. AAAI (2021)
Linzi Xing, Giuseppe Carenini
Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring. SIGDIAL (2021)
Linzi Xing, Giuseppe Carenini
Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring. CoRR (2021)
Raymond Li, Enamul Hoque, Giuseppe Carenini, Richard Lester, Raymond Chau
ConVIScope: Visual Analytics for Exploring Patient Conversations. CoRR (2021)
Patrick Huber, Linzi Xing, Giuseppe Carenini
Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentation. CoRR (2021)
Wen Xiao, Patrick Huber, Giuseppe Carenini
Predicting Discourse Trees from Transformer-based Neural Summarizers. CoRR (2021)
Patrick Huber, Wen Xiao, Giuseppe Carenini
W-RST: Towards a Weighted RST-style Discourse Framework. CoRR (2021)
Tanzila Rahman, Shih-Han Chou, Leonid Sigal, Giuseppe Carenini
An Improved Attention for Visual Question Answering. CVPR Workshops (2021)
Patrick Huber, Wen Xiao, Giuseppe Carenini
W-RST: Towards a Weighted RST-style Discourse Framework. ACL/IJCNLP (1) (2021)
Wen Xiao, Patrick Huber, Giuseppe Carenini
Predicting Discourse Trees from Transformer-based Neural Summarizers. NAACL-HLT (2021)
Patrick Huber, Giuseppe Carenini
MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision. CoRR (2020)
Oswald Barral, Hyeju Jang, Sally Newton-Mason, Sheetal Shajan, Thomas Soroski, Giuseppe Carenini, Cristina Conati, Thalia Shoshana Field
Non-Invasive Classification of Alzheimer's Disease Using Eye Tracking and Language. MLHC (2020)
Patrick Huber, Giuseppe Carenini
MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision. EMNLP (1) (2020)
Grigorii Guz, Peyman Bateni, Darius Muglich, Giuseppe Carenini
Neural RST-based Evaluation of Discourse Coherence. AACL/IJCNLP (2020)
Tanzila Rahman, Shih-Han Chou, Leonid Sigal, Giuseppe Carenini
An Improved Attention for Visual Question Answering. CoRR (2020)
Hyeju Jang, Emily Rempel, Giuseppe Carenini, Naveed Janjua
Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes. NLP4COVID@EMNLP (2020)
Grigorii Guz, Patrick Huber, Giuseppe Carenini
Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining. COLING (2020)
Grigorii Guz, Patrick Huber, Giuseppe Carenini
Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining. CoRR (2020)
Grigorii Guz, Peyman Bateni, Darius Muglich, Giuseppe Carenini
Neural RST-based Evaluation of Discourse Coherence. CoRR (2020)
Wen Xiao, Giuseppe Carenini
Systematically Exploring Redundancy Reduction in Summarizing Long Documents. CoRR (2020)
Linzi Xing, Brad Hackinen, Giuseppe Carenini, Francesco Trebbi
Improving Context Modeling in Neural Topic Segmentation. AACL/IJCNLP (2020)
Hyeju Jang, Emily Rempel, Giuseppe Carenini, Naveed Janjua
Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes. CoRR (2020)
Linzi Xing, Brad Hackinen, Giuseppe Carenini, Francesco Trebbi
Improving Context Modeling in Neural Topic Segmentation. CoRR (2020)
Andrea Spreafico, Giuseppe Carenini
Neural Data-Driven Captioning of Time-Series Line Charts. AVI (2020)
Grigorii Guz, Giuseppe Carenini
Towards Domain-Independent Text Structuring Trainable on Large Discourse Treebanks. EMNLP (Findings) (2020)
Patrick Huber, Giuseppe Carenini
Unsupervised Learning of Discourse Structures using a Tree Autoencoder. CoRR (2020)
Wen Xiao, Patrick Huber, Giuseppe Carenini
Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help ! CoRR (2020)
David Johnson, Giuseppe Carenini, Gabriel Murray
NJM-Vis: interpreting neural joint models in NLP. IUI (2020)
Patrick Huber, Giuseppe Carenini
From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation. COLING (2020)
Wen Xiao, Giuseppe Carenini
Systematically Exploring Redundancy Reduction in Summarizing Long Documents. AACL/IJCNLP (2020)
Patrick Huber, Giuseppe Carenini
From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation. CoRR (2020)
Emily Hindalong, Jordon Johnson, Giuseppe Carenini, Tamara Munzner
Towards Rigorously Designed Preference Visualizations for Group Decision Making. PacificVis (2020)
Enamul Hoque, Giuseppe Carenini
Interactive topic hierarchy revision for exploring a collection of online conversations. Inf. Vis. 18 (3) (2019)
Patrick Huber, Giuseppe Carenini
Predicting Discourse Structure using Distant Supervision from Sentiment. CoRR (2019)
Patrick Huber, Giuseppe Carenini
Predicting Discourse Structure using Distant Supervision from Sentiment. EMNLP/IJCNLP (1) (2019)
John-Jose Nunez, Giuseppe Carenini
Comparing the Intrinsic Performance of Clinical Concept Embeddings by Their Field of Medicine. LOUHI@EMNLP (2019)
Hyeju Jang, Young Ji Lee, Giuseppe Carenini, Raymond T. Ng, Grace Campbell, Kendall Ho
Neural Prediction of Patient Needs in an Ovarian Cancer Online Discussion Forum. Canadian Conference on AI (2019)
Linzi Xing, Michael J. Paul, Giuseppe Carenini
Evaluating Topic Quality with Posterior Variability. EMNLP/IJCNLP (1) (2019)
Wen Xiao, Giuseppe Carenini
Extractive Summarization of Long Documents by Combining Global and Local Context. EMNLP/IJCNLP (1) (2019)
Amon Ge, Hyeju Jang, Giuseppe Carenini, Kendall Ho, Young Ji Lee
OCTVis: Ontology-Based Comparison of Topic Models. IEEE VIS (Short Papers) (2019)
Wen Xiao, Giuseppe Carenini
Extractive Summarization of Long Documents by Combining Global and Local Context. CoRR (2019)
Dereck Toker, Cristina Conati, Giuseppe Carenini
Gaze analysis of user characteristics in magazine style narrative visualizations. User Model. User Adapt. Interact. 29 (5) (2019)
Weirui Kong, Hyeju Jang, Giuseppe Carenini, Thalia Shoshana Field
A Neural Model for Predicting Dementia from Language. MLHC (2019)
Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Gabriel Murray
Discourse Analysis and Its Applications. ACL (4) (2019)
Linzi Xing, Michael J. Paul, Giuseppe Carenini
Evaluating Topic Quality with Posterior Variability. CoRR (2019)
Shima Gerani, Giuseppe Carenini, Raymond T. Ng
Modeling content and structure for abstractive review summarization. Comput. Speech Lang. 53 (2019)
Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Gabriel Murray
Discourse Processing and Its Applications in Text Mining. ICDM (2018)
Sanjana Bajracharya, Giuseppe Carenini, Brent C. Chamberlain, Kai Di Chen, Daniel Klein, David Poole, Hamed Taheri, Gunilla Öberg
Interactive Visualization for Group Decision Analysis. Int. J. Inf. Technol. Decis. Mak. 17 (6) (2018)
Gabriel Murray, Giuseppe Carenini, Shafiq R. Joty
NLP for Conversations: Sentiment, Summarization, and Group Dynamics. COLING (Tutorials) (2018)
Dereck Toker, Cristina Conati, Giuseppe Carenini
User-adaptive Support for Processing Magazine Style Narrative Visualizations: Identifying User Characteristics that Matter. IUI (2018)
Jordon Johnson, Vaden Masrani, Giuseppe Carenini, Raymond T. Ng
Generating and Evaluating Summaries for Partial Email Threads: Conversational Bayesian Surprise and Silver Standards. SIGDIAL Conference (2017)
Bita Nejat, Giuseppe Carenini, Raymond T. Ng
Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment Analysis. SIGDIAL Conference (2017)
Vaden Masrani, Gabriel Murray, Thalia Shoshana Field, Giuseppe Carenini
Detecting Dementia through Retrospective Analysis of Routine Blog Posts by Bloggers with Dementia. BioNLP (2017)
Enamul Hoque, Shafiq R. Joty, Lluís Màrquez, Giuseppe Carenini
CQAVis: Visual Text Analytics for Community Question Answering. IUI (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Giuseppe Carenini