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2020 – today
- 2025
[c135]Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash, Rindra Ramamonjison, Jabo Serge Byusa, Giuseppe Carenini, Zirui Zhou, Yong Zhang:
Evaluating LLM Reasoning in the Operations Research Domain with ORQA. AAAI 2025: 24902-24910- [c134]Raymond Li, Yuxi Feng, Zhenan Fan, Giuseppe Carenini, Weiwei Zhang, Mohammadreza Pourreza, Yong Zhang:
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning. COLING 2025: 8173-8183 - [i50]Yuwei Yin
, Giuseppe Carenini:
ARR: Question Answering with Large Language Models via Analyzing, Retrieving, and Reasoning. CoRR abs/2502.04689 (2025) - [i49]Juntai Cao, Xiang Zhang, Raymond Li, Chuyuan Li, Shafiq Joty, Giuseppe Carenini:
Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing. CoRR abs/2502.20592 (2025) - [i48]Yuwei Yin, EunJeong Hwang, Giuseppe Carenini:
SWI: Speaking with Intent in Large Language Models. CoRR abs/2503.21544 (2025) - 2024
- [j28]Mahdi Mostajabdaveh, Timothy T. L. Yu, Rindranirina Ramamonjison, Giuseppe Carenini, Zirui Zhou, Yong Zhang:
Optimization modeling and verification from problem specifications using a multi-agent multi-stage LLM framework. INFOR Inf. Syst. Oper. Res. 62(4): 599-617 (2024) - [c133]Jordon Johnson, Spencer Yao, Giuseppe Carenini, Jonathan Evans:
Flexible Visual Preference Inspection in Group Decision Making. AVI 2024: 10:1-10:5 - [c132]Felipe González-Pizarro, Giuseppe Carenini:
Neural Multimodal Topic Modeling: A Comprehensive Evaluation. LREC/COLING 2024: 12159-12172 - [c131]Wen Xiao, Yujia Xie, Giuseppe Carenini, Pengcheng He:
Personalized Abstractive Summarization by Tri-agent Generation Pipeline. EACL (Findings) 2024: 570-581 - [c130]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: 410-424 - [c129]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. SemEval@NAACL 2024: 1412-1423 - [c128]Chuyuan Li, Yuwei Yin, Giuseppe Carenini:
Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based Approach. SIGDIAL 2024: 1-14 - [c127]Gaetano Cimino, Chuyuan Li, Giuseppe Carenini, Vincenzo Deufemia:
Coherence-based Dialogue Discourse Structure Extraction using Open-Source Large Language Models. SIGDIAL 2024: 297-316 - [i47]Felipe González-Pizarro, Giuseppe Carenini:
Neural Multimodal Topic Modeling: A Comprehensive Evaluation. CoRR abs/2403.17308 (2024) - [i46]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 abs/2404.03022 (2024) - [i45]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 abs/2406.07913 (2024) - [i44]Giuseppe Carenini, Jordon Johnson, Ali Salamatian:
Captioning Visualizations with Large Language Models (CVLLM): A Tutorial. CoRR abs/2406.19512 (2024) - [i43]Amirhossein Abaskohi, Spandana Gella, Giuseppe Carenini, Issam H. Laradji:
FM2DS: Few-Shot Multimodal Multihop Data Synthesis with Knowledge Distillation for Question Answering. CoRR abs/2412.07030 (2024) - [i42]Mahdi Mostajabdaveh, Timothy T. Yu, Samarendra Chandan Bindu Dash, Rindranirina Ramamonjison, Jabo Serge Byusa, Giuseppe Carenini, Zirui Zhou, Yong Zhang:
Evaluating LLM Reasoning in the Operations Research Domain with ORQA. CoRR abs/2412.17874 (2024) - 2023
- [j27]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): 1-17 (2023) - [c126]Raymond Li, Felipe González-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini:
Diversity-Aware Coherence Loss for Improving Neural Topic Models. ACL (2) 2023: 1710-1722 - [c125]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: 2517-2534 - [c124]Raymond Li, Gabriel Murray, Giuseppe Carenini:
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models. EMNLP (Findings) 2023: 9456-9469 - [i41]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 abs/2302.05895 (2023) - [i40]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. CoRR abs/2303.08233 (2023) - [i39]Wen Xiao, Yujia Xie, Giuseppe Carenini, Pengcheng He:
ChatGPT-steered Editing Instructor for Customization of Abstractive Summarization. CoRR abs/2305.02483 (2023) - [i38]Raymond Li, Felipe González-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini:
Diversity-Aware Coherence Loss for Improving Neural Topic Models. CoRR abs/2305.16199 (2023) - [i37]Raymond Li, Gabriel Murray, Giuseppe Carenini:
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models. CoRR abs/2310.16240 (2023) - [i36]Raymond Li, Ruixin Yang, Wen Xiao, Ahmed AbuRa'ed, Gabriel Murray, Giuseppe Carenini:
Visual Analytics for Generative Transformer Models. CoRR abs/2311.12418 (2023) - [i35]Linzi Xing, Brad Hackinen, Giuseppe Carenini:
Tracing Influence at Scale: A Contrastive Learning Approach to Linking Public Comments and Regulator Responses. CoRR abs/2311.14871 (2023) - [i34]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 abs/2312.00220 (2023) - 2022
- [j26]Emily Hindalong, Jordon Johnson, Giuseppe Carenini, Tamara Munzner:
Abstractions for Visualizing Preferences in Group Decisions. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 49:1-49:44 (2022) - [c123]Patrick Huber, Linzi Xing, Giuseppe Carenini:
Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation. AAAI 2022: 10794-10802 - [c122]Wen Xiao, Iz Beltagy, Giuseppe Carenini, Arman Cohan:
PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization. ACL (1) 2022: 5245-5263 - [c121]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: 10189-10204 - [c120]Patrick Huber, Giuseppe Carenini:
Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models. NAACL-HLT 2022: 2376-2394 - [c119]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: 219-228 - [c118]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: 241-251 - [i33]Patrick Huber, Giuseppe Carenini:
Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models. CoRR abs/2204.04289 (2022) - [i32]Maria Laricheva, Chiyu Zhang, Yan Liu, Guanyu Chen, Terence Tracey, Richard Young, Giuseppe Carenini:
Automated Utterance Labeling of Conversations Using Natural Language Processing. CoRR abs/2208.06525 (2022) - [i31]Wen Xiao, Giuseppe Carenini:
Entity-based SpanCopy for Abstractive Summarization to Improve the Factual Consistency. CoRR abs/2209.03479 (2022) - [i30]Linzi Xing, Patrick Huber, Giuseppe Carenini:
Improving Topic Segmentation by Injecting Discourse Dependencies. CoRR abs/2209.08626 (2022) - [i29]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 abs/2209.10477 (2022) - [i28]Patrick Huber, Giuseppe Carenini:
Unsupervised Inference of Data-Driven Discourse Structures using a Tree Auto-Encoder. CoRR abs/2210.09559 (2022) - [i27]Patrick Huber, Giuseppe Carenini:
Towards Domain-Independent Supervised Discourse Parsing Through Gradient Boosting. CoRR abs/2210.09565 (2022) - [i26]Patrick Huber, Giuseppe Carenini:
Large Discourse Treebanks from Scalable Distant Supervision. CoRR abs/2212.06038 (2022) - [i25]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 abs/2212.10819 (2022) - 2021
- [j25]Weirui Kong, Hyeju Jang, Giuseppe Carenini, Thalia Shoshana Field:
Exploring neural models for predicting dementia from language. Comput. Speech Lang. 68: 101181 (2021) - [c117]Patrick Huber, Giuseppe Carenini:
Unsupervised Learning of Discourse Structures using a Tree Autoencoder. AAAI 2021: 13107-13115 - [c116]Linzi Xing, Wen Xiao, Giuseppe Carenini:
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning. ACL/IJCNLP (2) 2021: 948-954 - [c115]Patrick Huber, Wen Xiao, Giuseppe Carenini:
W-RST: Towards a Weighted RST-style Discourse Framework. ACL/IJCNLP (1) 2021: 3908-3918 - [c114]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: 96-107 - [c113]Tanzila Rahman, Shih-Han Chou, Leonid Sigal, Giuseppe Carenini:
An Improved Attention for Visual Question Answering. CVPR Workshops 2021: 1653-1662 - [c112]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: 220-230 - [c111]Wen Xiao, Patrick Huber, Giuseppe Carenini:
Predicting Discourse Trees from Transformer-based Neural Summarizers. NAACL-HLT 2021: 4139-4152 - [c110]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: 189-203 - [c109]Linzi Xing, Giuseppe Carenini:
Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring. SIGDIAL 2021: 167-177 - [c108]Raymond Li, Enamul Hoque, Giuseppe Carenini, Richard Lester, Raymond Chau:
ConVIScope: Visual Analytics for Exploring Patient Conversations. IEEE VIS (Short Papers) 2021: 151-155 - [i24]Wen Xiao, Patrick Huber, Giuseppe Carenini:
Predicting Discourse Trees from Transformer-based Neural Summarizers. CoRR abs/2104.07058 (2021) - [i23]Linzi Xing, Wen Xiao, Giuseppe Carenini:
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning. CoRR abs/2105.14241 (2021) - [i22]Patrick Huber, Wen Xiao, Giuseppe Carenini:
W-RST: Towards a Weighted RST-style Discourse Framework. CoRR abs/2106.02658 (2021) - [i21]Linzi Xing, Giuseppe Carenini:
Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring. CoRR abs/2106.06719 (2021) - [i20]Raymond Li, Enamul Hoque, Giuseppe Carenini, Richard Lester, Raymond Chau:
ConVIScope: Visual Analytics for Exploring Patient Conversations. CoRR abs/2108.13514 (2021) - [i19]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 abs/2108.13587 (2021) - [i18]Wen Xiao, Iz Beltagy, Giuseppe Carenini, Arman Cohan:
PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization. CoRR abs/2110.08499 (2021) - [i17]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 abs/2112.05364 (2021) - [i16]Patrick Huber, Linzi Xing, Giuseppe Carenini:
Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentation. CoRR abs/2112.06196 (2021) - 2020
- [c107]Emily Hindalong, Jordon Johnson, Giuseppe Carenini, Tamara Munzner:
Towards Rigorously Designed Preference Visualizations for Group Decision Making. PacificVis 2020: 181-190 - [c106]Andrea Spreafico, Giuseppe Carenini:
Neural Data-Driven Captioning of Time-Series Line Charts. AVI 2020: 61:1-61:5 - [c105]Patrick Huber, Giuseppe Carenini:
From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation. COLING 2020: 185-197 - [c104]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: 3794-3805 - [c103]Grigorii Guz, Giuseppe Carenini:
Towards Domain-Independent Text Structuring Trainable on Large Discourse Treebanks. EMNLP (Findings) 2020: 3141-3152 - [c102]Patrick Huber, Giuseppe Carenini:
MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision. EMNLP (1) 2020: 7442-7457 - [c101]Hyeju Jang, Emily Rempel, Giuseppe Carenini, Naveed Z. Janjua:
Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes. NLP4COVID@EMNLP 2020 - [c100]Wen Xiao, Giuseppe Carenini:
Systematically Exploring Redundancy Reduction in Summarizing Long Documents. AACL/IJCNLP 2020: 516-528 - [c99]Linzi Xing, Brad Hackinen, Giuseppe Carenini, Francesco Trebbi:
Improving Context Modeling in Neural Topic Segmentation. AACL/IJCNLP 2020: 626-636 - [c98]Grigorii Guz, Peyman Bateni, Darius Muglich, Giuseppe Carenini:
Neural RST-based Evaluation of Discourse Coherence. AACL/IJCNLP 2020: 664-671 - [c97]David Johnson, Giuseppe Carenini, Gabriel Murray:
NJM-Vis: interpreting neural joint models in NLP. IUI 2020: 286-296 - [c96]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: 813-841 - [i15]Hyeju Jang, Emily Rempel, Giuseppe Carenini, Naveed Z. Janjua:
Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes. CoRR abs/2007.02452 (2020) - [i14]Grigorii Guz, Peyman Bateni, Darius Muglich, Giuseppe Carenini:
Neural RST-based Evaluation of Discourse Coherence. CoRR abs/2009.14463 (2020) - [i13]Linzi Xing, Brad Hackinen, Giuseppe Carenini, Francesco Trebbi:
Improving Context Modeling in Neural Topic Segmentation. CoRR abs/2010.03138 (2020) - [i12]Tanzila Rahman, Shih-Han Chou, Leonid Sigal, Giuseppe Carenini:
An Improved Attention for Visual Question Answering. CoRR abs/2011.02164 (2020) - [i11]Patrick Huber, Giuseppe Carenini:
MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision. CoRR abs/2011.03017 (2020) - [i10]Patrick Huber, Giuseppe Carenini:
From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation. CoRR abs/2011.03021 (2020) - [i9]Grigorii Guz, Patrick Huber, Giuseppe Carenini:
Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining. CoRR abs/2011.03203 (2020) - [i8]Wen Xiao, Giuseppe Carenini:
Systematically Exploring Redundancy Reduction in Summarizing Long Documents. CoRR abs/2012.00052 (2020) - [i7]Wen Xiao, Patrick Huber, Giuseppe Carenini:
Do We Really Need That Many Parameters In Transformer For Extractive Summarization? Discourse Can Help ! CoRR abs/2012.02144 (2020) - [i6]Patrick Huber, Giuseppe Carenini:
Unsupervised Learning of Discourse Structures using a Tree Autoencoder. CoRR abs/2012.09446 (2020)
2010 – 2019
- 2019
- [j24]Shima Gerani, Giuseppe Carenini, Raymond T. Ng:
Modeling content and structure for abstractive review summarization. Comput. Speech Lang. 53: 302-331 (2019) - [j23]Enamul Hoque, Giuseppe Carenini:
Interactive topic hierarchy revision for exploring a collection of online conversations. Inf. Vis. 18(3) (2019) - [j22]Dereck Toker, Cristina Conati, Giuseppe Carenini:
Gaze analysis of user characteristics in magazine style narrative visualizations. User Model. User Adapt. Interact. 29(5): 977-1011 (2019) - [c95]Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Gabriel Murray:
Discourse Analysis and Its Applications. ACL (4) 2019: 12-17 - [c94]John-Jose Nunez, Giuseppe Carenini:
Comparing the Intrinsic Performance of Clinical Concept Embeddings by Their Field of Medicine. LOUHI@EMNLP 2019: 11-17 - [c93]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 AI 2019: 492-497 - [c92]Patrick Huber, Giuseppe Carenini:
Predicting Discourse Structure using Distant Supervision from Sentiment. EMNLP/IJCNLP (1) 2019: 2306-2316 - [c91]Wen Xiao, Giuseppe Carenini:
Extractive Summarization of Long Documents by Combining Global and Local Context. EMNLP/IJCNLP (1) 2019: 3009-3019 - [c90]Linzi Xing, Michael J. Paul, Giuseppe Carenini:
Evaluating Topic Quality with Posterior Variability. EMNLP/IJCNLP (1) 2019: 3469-3475 - [c89]Weirui Kong, Hyeju Jang, Giuseppe Carenini, Thalia Shoshana Field:
A Neural Model for Predicting Dementia from Language. MLHC 2019: 270-286 - [c88]Amon Ge, Hyeju Jang, Giuseppe Carenini, Kendall Ho, Young Ji Lee:
OCTVis: Ontology-Based Comparison of Topic Models. IEEE VIS (Short Papers) 2019: 66-70 - [i5]Linzi Xing, Michael J. Paul, Giuseppe Carenini:
Evaluating Topic Quality with Posterior Variability. CoRR abs/1909.03524 (2019) - [i4]Wen Xiao, Giuseppe Carenini:
Extractive Summarization of Long Documents by Combining Global and Local Context. CoRR abs/1909.08089 (2019) - [i3]Patrick Huber, Giuseppe Carenini:
Predicting Discourse Structure using Distant Supervision from Sentiment. CoRR abs/1910.14176 (2019) - 2018
- [j21]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): 1839-1864 (2018) - [c87]Gabriel Murray, Giuseppe Carenini, Shafiq R. Joty:
NLP for Conversations: Sentiment, Summarization, and Group Dynamics. COLING (Tutorials) 2018: 1-4 - [c86]Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Gabriel Murray:
Discourse Processing and Its Applications in Text Mining. ICDM 2018: 7 - [c85]Dereck Toker, Cristina Conati, Giuseppe Carenini:
User-adaptive Support for Processing Magazine Style Narrative Visualizations: Identifying User Characteristics that Matter. IUI 2018: 199-204 - 2017
- [c84]Vaden Masrani, Gabriel Murray, Thalia Shoshana Field, Giuseppe Carenini:
Domain Adaptation for Detecting Mild Cognitive Impairment. Canadian AI 2017: 248-259 - [c83]Vaden Masrani, Gabriel Murray, Thalia Shoshana Field, Giuseppe Carenini:
Detecting Dementia through Retrospective Analysis of Routine Blog Posts by Bloggers with Dementia. BioNLP 2017: 232-237 - [c82]Enamul Hoque, Giuseppe Carenini:
Multimedia Summary Generation from Online Conversations: Current Approaches and Future Directions. NFiS@EMNLP 2017: 12-19 - [c81]Karan Singla, Evgeny A. Stepanov, Ali Orkan Bayer, Giuseppe Carenini, Giuseppe Riccardi:
Automatic Community Creation for Abstractive Spoken Conversations Summarization. NFiS@EMNLP 2017: 43-47 - [c80]Shikib Mehri, Giuseppe Carenini:
Chat Disentanglement: Identifying Semantic Reply Relationships with Random Forests and Recurrent Neural Networks. IJCNLP(1) 2017: 615-623 - [c79]Enamul Hoque, Shafiq R. Joty, Lluís Màrquez, Giuseppe Carenini:
CQAVis: Visual Text Analytics for Community Question Answering. IUI 2017: 161-172 - [c78]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: 263-272 - [c77]Bita Nejat, Giuseppe Carenini, Raymond T. Ng:
Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment Analysis. SIGDIAL Conference 2017: 289-298 - [c76]Sébastien Lallé, Cristina Conati, Giuseppe Carenini:
Impact of Individual Differences on User Experience with a Visualization Interface for Public Engagement. UMAP (Adjunct Publication) 2017: 247-252 - [c75]Sébastien Lallé, Cristina Conati, Giuseppe Carenini:
Impact of Individual Differences on User Experience with a Real-World Visualization Interface for Public Engagement. UMAP 2017: 369-370 - [e3]Lu Wang, Jackie Chi Kit Cheung, Giuseppe Carenini, Fei Liu:
Proceedings of the Workshop on New Frontiers in Summarization, NFiS@EMNLP 2017, Copenhagen, Denmark, September 7, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-89-0 [contents] - 2016
- [j20]Enamul Hoque, Giuseppe Carenini:
Interactive Topic Modeling for Exploring Asynchronous Online Conversations: Design and Evaluation of ConVisIT. ACM Trans. Interact. Intell. Syst. 6(1): 7:1-7:24 (2016) - [j19]Sébastien Lallé, Cristina Conati, Giuseppe Carenini:
Prediction of individual learning curves across information visualizations. User Model. User Adapt. Interact. 26(4): 307-345 (2016) - [c74]Shimei Pan, Oliver Brdiczka, Giuseppe Carenini, Duen Horng Chau, Per Ola Kristensson:
What's Hot in Intelligent User Interfaces. AAAI 2016: 4333-4334 - [c73]Enamul Hoque, Shafiq R. Joty, Lluís Màrquez, Alberto Barrón-Cedeño, Giovanni Da San Martino, Alessandro Moschitti, Preslav Nakov, Salvatore Romeo, Giuseppe Carenini:
An Interactive System for Exploring Community Question Answering Forums. COLING (Demos) 2016: 1-5 - [c72]Kailang Jiang, Giuseppe Carenini, Raymond T. Ng:
Training Data Enrichment for Infrequent Discourse Relations. COLING 2016: 2603-2614 - [c71]Sébastien Lallé, Cristina Conati, Giuseppe Carenini:
Predicting Confusion in Information Visualization from Eye Tracking and Interaction Data. IJCAI 2016: 2529-2535 - [c70]Enamul Hoque, Giuseppe Carenini:
MultiConVis: A Visual Text Analytics System for Exploring a Collection of Online Conversations. IUI 2016: 96-107 - 2015
- [j18]Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng:
CODRA: A Novel Discriminative Framework for Rhetorical Analysis. Comput. Linguistics 41(3): 385-435 (2015) - [c69]Cristina Conati, Giuseppe Carenini, Dereck Toker, Sébastien Lallé:
Towards User-Adaptive Information Visualization. AAAI 2015: 4100-4106 - [c68]Enamul Hoque, Giuseppe Carenini:
ConVisIT: Interactive Topic Modeling for Exploring Asynchronous Online Conversations. IUI 2015: 169-180 - [c67]Sébastien Lallé, Dereck Toker, Cristina Conati, Giuseppe Carenini:
Prediction of Users' Learning Curves for Adaptation while Using an Information Visualization. IUI 2015: 357-368 - [e2]Oliver Brdiczka, Polo Chau, Giuseppe Carenini, Shimei Pan, Per Ola Kristensson:
Proceedings of the 20th International Conference on Intelligent User Interfaces, IUI 2015, Atlanta, GA, USA, March 29 - April 01, 2015. ACM 2015, ISBN 978-1-4503-3306-1 [contents] - [e1]Oliver Brdiczka, Polo Chau, Giuseppe Carenini, Shimei Pan, Per Ola Kristensson:
Proceedings of the 20th International Conference on Intelligent User Interfaces Companion, IUI 2015, Atlanta, GA, USA, March 29 - April 01, 2015. ACM 2015, ISBN 978-1-4503-3308-5 [contents] - 2014
- [j17]Enamul Hoque, Giuseppe Carenini:
ConVis: A Visual Text Analytic System for Exploring Blog Conversations. Comput. Graph. Forum 33(3): 221-230 (2014) - [j16]Cristina Conati, Giuseppe Carenini, Enamul Hoque, Ben Steichen, Dereck Toker:
Evaluating the Impact of User Characteristics and Different Layouts on an Interactive Visualization for Decision Making. Comput. Graph. Forum 33(3): 371-380 (2014) - [j15]Brent C. Chamberlain, Giuseppe Carenini, Gunilla Öberg, David Poole, Hamed Taheri:
A Decision Support System for the Design and Evaluation of Sustainable Wastewater Solutions. IEEE Trans. Computers 63(1): 129-141 (2014) - [j14]Ben Steichen, Cristina Conati, Giuseppe Carenini:
Inferring Visualization Task Properties, User Performance, and User Cognitive Abilities from Eye Gaze Data. ACM Trans. Interact. Intell. Syst. 4(2): 11:1-11:29 (2014) - [c66]Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng:
Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries. ACL (1) 2014: 1220-1230 - [c65]Giuseppe Carenini, Cristina Conati, Enamul Hoque, Ben Steichen, Dereck Toker, James T. Enns:
Highlighting interventions and user differences: informing adaptive information visualization support. CHI 2014: 1835-1844 - [c64]Kelsey R. Allen, Giuseppe Carenini, Raymond T. Ng:
Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure. EMNLP 2014: 1169-1180 - [c63]Shima Gerani, Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng, Bita Nejat:
Abstractive Summarization of Product Reviews Using Discourse Structure. EMNLP 2014: 1602-1613 - [c62]Tatsuro Oya, Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng:
A Template-based Abstractive Meeting Summarization: Leveraging Summary and Source Text Relationships. INLG 2014: 45-53 - [c61]Dereck Toker, Ben Steichen, Matthew Gingerich, Cristina Conati, Giuseppe Carenini:
Towards facilitating user skill acquisition: identifying untrained visualization users through eye tracking. IUI 2014: 105-114 - [c60]Tatsuro Oya, Giuseppe Carenini:
Extractive Summarization and Dialogue Act Modeling on Email Threads: An Integrated Probabilistic Approach. SIGDIAL Conference 2014: 133-140 - [c59]Ben Steichen, Michael M. A. Wu, Dereck Toker, Cristina Conati, Giuseppe Carenini:
Te, Te, Hi, Hi: Eye Gaze Sequence Analysis for Informing User-Adaptive Information Visualizations. UMAP 2014: 183-194 - [i2]Shafiq Rayhan Joty, Giuseppe Carenini, Raymond T. Ng:
Topic Segmentation and Labeling in Asynchronous Conversations. CoRR abs/1402.0586 (2014) - 2013
- [b2]Raymond T. Ng, Patricia C. Arocena, Denilson Barbosa, Giuseppe Carenini, Luiz Celso Gomes Jr., Stephan Jou, Rock Anthony Leung, Evangelos E. Milios, Renée J. Miller, John Mylopoulos, Rachel Pottinger, Frank Wm. Tompa, Eric S. K. Yu:
Perspectives on Business Intelligence. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2013, ISBN 9781627050937, pp. 1-163 - [j13]Giuseppe Carenini, Jackie Chi Kit Cheung, Adam Pauls:
Multi-Document Summarization of Evaluative Text. Comput. Intell. 29(4): 545-576 (2013) - [j12]Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng:
Topic Segmentation and Labeling in Asynchronous Conversations. J. Artif. Intell. Res. 47: 521-573 (2013) - [c58]Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Yashar Mehdad:
Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis. ACL (1) 2013: 486-496 - [c57]Dereck Toker, Cristina Conati, Ben Steichen, Giuseppe Carenini:
Individual user characteristics and information visualization: connecting the dots through eye tracking. CHI 2013: 295-304 - [c56]Yashar Mehdad, Giuseppe Carenini, Frank Wm. Tompa, Raymond T. Ng:
Abstractive Meeting Summarization with Entailment and Fusion. ENLG 2013: 136-146 - [c55]Ben Steichen, Giuseppe Carenini, Cristina Conati:
User-adaptive information visualization: using eye gaze data to infer visualization tasks and user cognitive abilities. IUI 2013: 317-328 - [c54]Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng, Shafiq R. Joty:
Towards Topic Labeling with Phrase Entailment and Aggregation. HLT-NAACL 2013: 179-189 - [c53]Maryam Tavafi, Yashar Mehdad, Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng:
Dialogue Act Recognition in Synchronous and Asynchronous Conversations. SIGDIAL Conference 2013: 117-121 - [c52]Giuseppe Carenini, Cristina Conati, Enamul Hoque, Ben Steichen:
User Task Adaptation in Multimedia Presentations. UMAP Workshops 2013 - [c51]Ben Steichen, Oliver Schmid, Cristina Conati, Giuseppe Carenini:
Seeing how you're Looking - Using Real-Time Eye Gaze Data for User-Adaptive Visualization. UMAP Workshops 2013 - 2012
- [j11]Shixia Liu, Michelle X. Zhou, Giuseppe Carenini, Huamin Qu:
Introduction to the Special Section on Intelligent Visual Interfaces for Text Analysis. ACM Trans. Intell. Syst. Technol. 3(2): 19:1-19:3 (2012) - [c50]Shama Rashid, Giuseppe Carenini, Raymond T. Ng:
A Visual Interface for Analyzing Text Conversations. BIRTE 2012: 93-108 - [c49]Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng:
A Novel Discriminative Framework for Sentence-Level Discourse Analysis. EMNLP-CoNLL 2012: 904-915 - [c48]Gabriel Murray, Giuseppe Carenini, Raymond T. Ng:
Using the Omega Index for Evaluating Abstractive Community Detection. EvalMetrics@NAACL-HLT 2012: 10-18 - [c47]Giuseppe Carenini, Gabriel Murray:
Methods for mining and summarizing text conversations. SIGIR 2012: 1178-1179 - [c46]Ben Steichen, Giuseppe Carenini, Cristina Conati:
Adaptive Information Visualization - Predicting user characteristics and task context from eye gaze. UMAP Workshops 2012 - [c45]Dereck Toker, Cristina Conati, Giuseppe Carenini, Mona Haraty:
Towards Adaptive Information Visualization: On the Influence of User Characteristics. UMAP 2012: 274-285 - 2011
- [b1]Giuseppe Carenini, Gabriel Murray, Raymond T. Ng:
Methods for Mining and Summarizing Text Conversations. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00752-1 - [j10]Gabriel Murray, Giuseppe Carenini:
Subjectivity detection in spoken and written conversations. Nat. Lang. Eng. 17(3): 397-418 (2011) - [c44]Cristina Conati, Giuseppe Carenini, Mona Harati, Dereck Toker, Nicholas FitzGerald, Anna Flagg:
User-Adaptive Visualizations: Can Gaze Data Tell Us When a User Needs Them? Scalable Integration of Analytics and Visualization 2011 - [c43]Nicholas FitzGerald, Giuseppe Carenini, Gabriel Murray, Shafiq R. Joty:
Exploiting Conversational Features to Detect High-Quality Blog Comments. Canadian AI 2011: 122-127 - [c42]Shafiq R. Joty, Giuseppe Carenini, Gabriel Murray, Raymond T. Ng:
Supervised Topic Segmentation of Email Conversations. ICWSM 2011 - [c41]Shafiq R. Joty, Giuseppe Carenini, Chin-Yew Lin:
Unsupervised Modeling of Dialog Acts in Asynchronous Conversations. IJCAI 2011: 1807-1813 - 2010
- [c40]Todd W. Neller, John DeNero, Dan Klein, Sven Koenig, William Yeoh, Xiaoming Zheng, Kenny Daniel, Alex Nash, Zachary Dodds, Giuseppe Carenini, David Poole, Christopher Brooks:
Model AI Assignments. EAAI 2010: 1919-1921 - [c39]Shafiq R. Joty, Giuseppe Carenini, Gabriel Murray, Raymond T. Ng:
Exploiting Conversation Structure in Unsupervised Topic Segmentation for Emails. EMNLP 2010: 388-398 - [c38]Gabriel Murray, Giuseppe Carenini, Raymond T. Ng:
Generating and Validating Abstracts of Meeting Conversations: a User Study. INLG 2010 - [c37]Gabriel Murray, Giuseppe Carenini, Raymond T. Ng:
The impact of ASR on abstractive vs. extractive meeting summaries. INTERSPEECH 2010: 1688-1691 - [c36]Shixia Liu, Michelle X. Zhou, Giuseppe Carenini, Huamin Qu:
Workshop on intelligent visual interfaces for text analysis. IUI 2010: 439-440 - [c35]Gabriel Murray, Giuseppe Carenini, Raymond T. Ng:
Interpretation and Transformation for Abstracting Conversations. HLT-NAACL 2010: 894-902
2000 – 2009
- 2009
- [c34]Gabriel Murray, Giuseppe Carenini:
Predicting Subjectivity in Multimodal Conversations. EMNLP 2009: 1348-1357 - [c33]Jan Ulrich, Giuseppe Carenini, Gabriel Murray, Raymond T. Ng:
Regression-Based Summarization of Email Conversations. ICWSM 2009 - [c32]Gabriel Murray, Giuseppe Carenini:
Detecting subjectivity in multiparty speech. INTERSPEECH 2009: 2007-2010 - [c31]Giuseppe Carenini, Lucas Rizoli:
A multimedia interface for facilitating comparisons of opinions. IUI 2009: 325-334 - 2008
- [j9]Saleema Amershi, Giuseppe Carenini, Cristina Conati, Alan K. Mackworth, David Poole:
Pedagogy and usability in interactive algorithm visualizations: Designing and evaluating CIspace. Interact. Comput. 20(1): 64-96 (2008) - [c30]Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou:
Summarizing Emails with Conversational Cohesion and Subjectivity. ACL 2008: 353-361 - [c29]Jeanette Bautista, Giuseppe Carenini:
An empirical evaluation of interactive visualizations for preferential choice. AVI 2008: 207-214 - [c28]Gabriel Murray, Giuseppe Carenini:
Summarizing Spoken and Written Conversations. EMNLP 2008: 773-782 - [c27]Giuseppe Carenini, Jackie Chi Kit Cheung:
Extractive vs. NLG-based Abstractive Summarization of Evaluative Text: The Effect of Corpus Controversiality. INLG 2008 - [i1]Gabriel Murray, Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng:
The University of British Columbia at TAC 2008. TAC 2008 - 2007
- [c26]Andrea Bunt, Giuseppe Carenini, Cristina Conati:
Adaptive Content Presentation for the Web. The Adaptive Web 2007: 409-432 - [c25]Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou:
Summarizing email conversations with clue words. WWW 2007: 91-100 - 2006
- [j8]Giuseppe Carenini, Johanna D. Moore:
Generating and evaluating evaluative arguments. Artif. Intell. 170(11): 925-952 (2006) - [c24]Jeanette Bautista, Giuseppe Carenini:
An integrated task-based framework for the design and evaluation of visualizations to support preferential choice. AVI 2006: 217-224 - [c23]Giuseppe Carenini, Raymond T. Ng, Adam Pauls:
Multi-Document Summarization of Evaluative Text. EACL 2006 - [c22]Giuseppe Carenini, Raymond T. Ng, Adam Pauls:
Interactive multimedia summaries of evaluative text. IUI 2006: 124-131 - 2005
- [c21]Saleema Amershi, N. Arksey, Giuseppe Carenini, Cristina Conati, Alan K. Mackworth, Heather Maclaren, David Poole:
Designing CIspace: pedagogy and usability in a learning environment for AI. ITiCSE 2005: 178-182 - [c20]Giuseppe Carenini, Raymond T. Ng, Ed Zwart:
Extracting knowledge from evaluative text. K-CAP 2005: 11-18 - [c19]Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou:
Scalable discovery of hidden emails from large folders. KDD 2005: 544-549 - [c18]Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou, Ed Zwart:
Discovery and regeneration of hidden emails. SAC 2005: 503-510 - 2004
- [j7]Nancy L. Green, Giuseppe Carenini, Stephan M. Kerpedjiev, Joe Mattis, Johanna D. Moore, Steven F. Roth:
AutoBrief: an experimental system for the automatic generation of briefings in integrated text and information graphics. Int. J. Hum. Comput. Stud. 61(1): 32-70 (2004) - [c17]Giuseppe Carenini, Rita Sharma:
Exploring More Realistic Evaluation Measures for Collaborative Filtering. AAAI 2004: 749-754 - [c16]Giuseppe Carenini, John Loyd:
ValueCharts: analyzing linear models expressing preferences and evaluations. AVI 2004: 150-157 - 2003
- [c15]Giuseppe Carenini, Jocelyin Smith, David Poole:
Towards more conversational and collaborative recommender systems. IUI 2003: 12-18 - 2001
- [c14]Giuseppe Carenini:
An analysis of the influence of need for cognition on dynamic queries usage. CHI Extended Abstracts 2001: 383-384 - [c13]Giuseppe Carenini:
GEA: A Complete, Modular System for Generating Evaluative Arguments. International Conference on Computational Science (1) 2001: 959-968 - [c12]Cristina Conati, Giuseppe Carenini:
Generating Tailored Examples to Support Learning via Self-explanation. IJCAI 2001: 1301-1306 - [c11]Giuseppe Carenini, Johanna D. Moore:
An Empirical Study of the Influence of User Tailoring on Evaluative Argument Effectiveness. IJCAI 2001: 1307-1314 - 2000
- [j6]Stefano Monti, Giuseppe Carenini:
Dealing with the Expert Inconsistency in Probability Elicitation. IEEE Trans. Knowl. Data Eng. 12(4): 499-508 (2000) - [c10]Giuseppe Carenini, Johanna D. Moore:
An Empirical Study of the Influence of Argument Conciseness on Argument Effectiveness. ACL 2000: 150-157 - [c9]Giuseppe Carenini:
A Task-based Framework to Evaluate Evaluative Arguments. INLG 2000: 9-16 - [c8]Giuseppe Carenini, Johanna D. Moore:
A strategy for generating evaluative arguments. INLG 2000: 47-54
1990 – 1999
- 1998
- [j5]Bruce G. Buchanan, Giuseppe Carenini, Vibhu O. Mittal, Johanna D. Moore:
Designing computer-based frameworks that facilitate doctor-patient collaboration. Artif. Intell. Medicine 12(2): 169-191 (1998) - [j4]Vibhu O. Mittal, Johanna D. Moore, Giuseppe Carenini, Steven F. Roth:
Describing Complex Charts in Natural Language: A Caption Generation System. Comput. Linguistics 24(3): 431-467 (1998) - [c7]Stephan M. Kerpedjiev, Giuseppe Carenini, Nancy L. Green, Johanna D. Moore, Steven F. Roth:
Saying It in Graphics: From Intentions to Visualizations. INFOVIS 1998: 97-101 - [c6]Nancy L. Green, Giuseppe Carenini, Johanna D. Moore:
A Principled Representation Of Attributive Descriptions For Generating Integrated Text And Information Graphics Presentations. INLG 1998 - 1997
- [j3]Stephan M. Kerpedjiev, Giuseppe Carenini, Steven F. Roth, Johanna D. Moore:
AutoBrief: a multimedia presentation system for assisting data analysis. Comput. Stand. Interfaces 18(6-7): 583-593 (1997) - [c5]Stephan M. Kerpedjiev, Giuseppe Carenini, Steven F. Roth, Johanna D. Moore:
Integrating Planning and Task-Based Design for Multimedia Presentation. IUI 1997: 145-152 - 1995
- [j2]Bruce G. Buchanan, Johanna D. Moore, Diana E. Forsythe, Giuseppe Carenini, S. Ohlsson, Gordon Banks:
An intelligent interactive system for delivering individualized information to patients. Artif. Intell. Medicine 7(2): 117-154 (1995) - [c4]Giuseppe Carenini, Stefano Monti, Gordon Banks:
An Information-Based Bayesian Approach to History Taking. AIME 1995: 129-138 - [c3]Vibhu O. Mittal, Steven F. Roth, Johanna D. Moore, Joe Mattis, Giuseppe Carenini:
Generating Explanatory Captions for Information Graphics. IJCAI 1995: 1276-1283 - 1993
- [j1]Giuseppe Carenini, Fabio Pianesi, Marco Ponzi, Oliviero Stock:
Natural language generation and hypertext access. Appl. Artif. Intell. 7(2): 135-164 (1993) - [c2]Giuseppe Carenini, Johanna D. Moore:
Generating explanations in context. IUI 1993: 175-182 - 1990
- [c1]Oliviero Stock, Giuseppe Carenini, Marco Ponzi, Vieri Samek-Lodovici:
Some New Perspectives in Information Access and Interface Design. Modelling the Innovation 1990: 283-290
Coauthor Index
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