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2020 – today
- 2024
[c14]Linzi Xing, Xinglu Wang, Yuxi Feng, Zhenan Fan, Jing Xiong, Zhijiang Guo, Xiaojin Fu, Rindra Ramamonjison, Mahdi Mostajabdaveh, Xiongwei Han, Zirui Zhou, Yong Zhang:
Towards Human-aligned Evaluation for Linear Programming Word Problems. LREC/COLING 2024: 16550-16556- [c13]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 - [i11]Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, Zirui Zhou:
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process. CoRR abs/2401.03244 (2024) - 2023
- [c12]Rindra Ramamonjison, Timothy T. L. Yu, Linzi Xing, Mahdi Mostajabdaveh, Xiaorui Li, Xiaojin Fu, Xiongwei Han, Yuanzhe Chen, Ren Li, Kun Mao, Yong Zhang:
LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application. ACL (demo) 2023: 471-478 - [c11]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 - [i10]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) - [i9]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) - [i8]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
- [c10]Patrick Huber, Linzi Xing, Giuseppe Carenini:
Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation. AAAI 2022: 10794-10802 - [c9]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 - [i7]Linzi Xing, Patrick Huber, Giuseppe Carenini:
Improving Topic Segmentation by Injecting Discourse Dependencies. CoRR abs/2209.08626 (2022) - 2021
- [c8]Linzi Xing, Wen Xiao, Giuseppe Carenini:
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning. ACL/IJCNLP (2) 2021: 948-954 - [c7]Linzi Xing, Giuseppe Carenini:
Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring. SIGDIAL 2021: 167-177 - [i6]Linzi Xing, Wen Xiao, Giuseppe Carenini:
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning. CoRR abs/2105.14241 (2021) - [i5]Linzi Xing, Giuseppe Carenini:
Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring. CoRR abs/2106.06719 (2021) - [i4]Patrick Huber, Linzi Xing, Giuseppe Carenini:
Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentation. CoRR abs/2112.06196 (2021) - 2020
- [c6]Linzi Xing, Brad Hackinen, Giuseppe Carenini, Francesco Trebbi:
Improving Context Modeling in Neural Topic Segmentation. AACL/IJCNLP 2020: 626-636 - [c5]Xiaolei Huang, Linzi Xing, Franck Dernoncourt, Michael J. Paul:
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition. LREC 2020: 1440-1448 - [i3]Xiaolei Huang, Linzi Xing, Franck Dernoncourt, Michael J. Paul:
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition. CoRR abs/2002.10361 (2020) - [i2]Linzi Xing, Brad Hackinen, Giuseppe Carenini, Francesco Trebbi:
Improving Context Modeling in Neural Topic Segmentation. CoRR abs/2010.03138 (2020)
2010 – 2019
- 2019
- [c4]Linzi Xing, Michael J. Paul, Giuseppe Carenini:
Evaluating Topic Quality with Posterior Variability. EMNLP/IJCNLP (1) 2019: 3469-3475 - [i1]Linzi Xing, Michael J. Paul, Giuseppe Carenini:
Evaluating Topic Quality with Posterior Variability. CoRR abs/1909.03524 (2019) - 2018
- [c3]Linzi Xing, Michael J. Paul:
Diagnosing and Improving Topic Models by Analyzing Posterior Variability. AAAI 2018: 6005-6012 - 2017
- [c2]Linzi Xing, Michael J. Paul:
Incorporating Metadata into Content-Based User Embeddings. NUT@EMNLP 2017: 45-49 - [c1]Xiaolei Huang, Linzi Xing, Jed R. Brubaker, Michael J. Paul:
Exploring Timelines of Confirmed Suicide Incidents Through Social Media. ICHI 2017: 470-477
Coauthor Index
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