default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGiuseppe Carenini
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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 - [i46]Felipe González-Pizarro, Giuseppe Carenini:
Neural Multimodal Topic Modeling: A Comprehensive Evaluation. CoRR abs/2403.17308 (2024) - [i45]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) - [i44]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) - [i43]Giuseppe Carenini, Jordon Johnson, Ali Salamatian:
Captioning Visualizations with Large Language Models (CVLLM): A Tutorial. CoRR abs/2406.19512 (2024) - [i42]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) - 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]