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2020 – today
- 2021
[j17]Xiaomei Zhang
, Yibo Wu, Lifu Huang, Heng Ji, Guohong Cao:
Expertise-Aware Truth Analysis and Task Allocation in Mobile Crowdsourcing. IEEE Trans. Mob. Comput. 20(3): 1001-1016 (2021)- [c191]Chi Han, Mingxuan Wang, Heng Ji, Lei Li:
Learning Shared Semantic Space for Speech-to-Text Translation. ACL/IJCNLP (Findings) 2021: 2214-2225 - [c190]Liliang Ren, Chenkai Sun, Heng Ji, Julia Hockenmaier:
HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction. ACL/IJCNLP (Findings) 2021: 4066-4078 - [c189]Zixuan Zhang, Heng Ji:
Abstract Meaning Representation Guided Graph Encoding and Decoding for Joint Information Extraction. NAACL-HLT 2021: 39-49 - [c188]Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth:
Event Time Extraction and Propagation via Graph Attention Networks. NAACL-HLT 2021: 62-73 - [c187]Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych:
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. NAACL-HLT (Demonstrations) 2021: 66-77 - [c186]Haoyang Wen, Ying Lin, Tuan Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji:
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. NAACL-HLT (Demonstrations) 2021: 133-143 - [c185]Sha Li, Heng Ji, Jiawei Han:
Document-Level Event Argument Extraction by Conditional Generation. NAACL-HLT 2021: 894-908 - [c184]Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang:
Efficient Attentions for Long Document Summarization. NAACL-HLT 2021: 1419-1436 - [c183]Tuan Manh Lai, Heng Ji, Trung Bui, Quan Hung Tran, Franck Dernoncourt, Walter Chang:
A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution. NAACL-HLT 2021: 3491-3499 - [c182]Lingfei Wu, Yu Chen, Heng Ji, Bang Liu:
Deep Learning on Graphs for Natural Language Processing. SIGIR 2021: 2651-2653 - [c181]Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher:
Controllable and Diverse Text Generation in E-commerce. WWW 2021: 2392-2401 - [i72]Thamar Solorio, Mahsa Shafaei, Christos Smailis, Mona T. Diab, Theodore Giannakopoulos, Heng Ji, Yang Liu, Rada Mihalcea, Smaranda Muresan, Ioannis A. Kakadiaris:
White Paper: Challenges and Considerations for the Creation of a Large Labelled Repository of Online Videos with Questionable Content. CoRR abs/2101.10894 (2021) - [i71]Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher:
Controllable and Diverse Text Generation in E-commerce. CoRR abs/2102.11497 (2021) - [i70]Tuan Manh Lai, Heng Ji, Trung Bui, Quan Hung Tran, Franck Dernoncourt, Walter Chang:
A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution. CoRR abs/2104.01697 (2021) - [i69]Luyang Huang, Shuyang Cao, Nikolaus Nova Parulian, Heng Ji, Lu Wang:
Efficient Attentions for Long Document Summarization. CoRR abs/2104.02112 (2021) - [i68]Ying Lin, Han Wang, Jiangning Chen, Tong Wang, Yue Liu, Heng Ji, Yang Liu, Premkumar Natarajan:
Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations. CoRR abs/2104.02667 (2021) - [i67]Sha Li, Heng Ji, Jiawei Han:
Document-Level Event Argument Extraction by Conditional Generation. CoRR abs/2104.05919 (2021) - [i66]Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare R. Voss:
Future is not One-dimensional: Graph Modeling based Complex Event Schema Induction for Event Prediction. CoRR abs/2104.06344 (2021) - [i65]Revanth Gangi Reddy, Vikas Yadav, Md. Arafat Sultan, Martin Franz, Vittorio Castelli, Heng Ji, Avirup Sil:
Towards Robust Neural Retrieval Models with Synthetic Pre-Training. CoRR abs/2104.07800 (2021) - [i64]Chi Han, Mingxuan Wang, Heng Ji, Lei Li:
Learning Shared Semantic Space for Speech-to-Text Translation. CoRR abs/2105.03095 (2021) - [i63]Haoyang Wen, Anthony Ferritto, Heng Ji, Radu Florian, Avirup Sil:
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension. CoRR abs/2105.03229 (2021) - [i62]Qingyun Wang, Semih Yavuz, Victoria Lin, Heng Ji, Nazneen Fatema Rajani:
Stage-wise Fine-tuning for Graph-to-Text Generation. CoRR abs/2105.08021 (2021) - [i61]Tuan Manh Lai, Heng Ji, ChengXiang Zhai, Quan Hung Tran:
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference. CoRR abs/2105.13456 (2021) - [i60]Liliang Ren, Chenkai Sun, Heng Ji, Julia Hockenmaier:
HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction. CoRR abs/2106.15838 (2021) - 2020
- [c180]Manling Li, Alireza Zareian, Ying Lin, Xiaoman Pan, Spencer Whitehead, Brian Chen, Bo Wu, Heng Ji, Shih-Fu Chang, Clare R. Voss, Daniel Napierski, Marjorie Freedman:
GAIA: A Fine-grained Multimedia Knowledge Extraction System. ACL (demo) 2020: 77-86 - [c179]Haoyang Wen, Anthony Ferritto, Heng Ji, Radu Florian, Avi Sil:
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension. ACL/IJCNLP (2) 2020: 1035-1042 - [c178]Yi Fung, Christopher Thomas, Revanth Gangi Reddy, Sandeep Polisetty, Heng Ji, Shih-Fu Chang, Kathleen R. McKeown, Mohit Bansal, Avi Sil:
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection. ACL/IJCNLP (1) 2020: 1683-1698 - [c177]Manling Li, Alireza Zareian, Qi Zeng, Spencer Whitehead, Di Lu, Heng Ji, Shih-Fu Chang:
Cross-media Structured Common Space for Multimedia Event Extraction. ACL 2020: 2557-2568 - [c176]Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou:
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. ACL/IJCNLP (1) 2020: 3350-3363 - [c175]Tuan Lai, Heng Ji, ChengXiang Zhai, Quan Hung Tran:
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference. ACL/IJCNLP (1) 2020: 6248-6260 - [c174]Zixuan Zhang, Nikolaus Nova Parulian, Heng Ji, Ahmed Elsayed, Skatje Myers, Martha Palmer:
Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation. ACL/IJCNLP (1) 2020: 6261-6270 - [c173]Ying Lin, Heng Ji, Fei Huang, Lingfei Wu:
A Joint Neural Model for Information Extraction with Global Features. ACL 2020: 7999-8009 - [c172]Dídac Surís, Dave Epstein, Heng Ji, Shih-Fu Chang, Carl Vondrick:
Learning to Learn Words from Visual Scenes. ECCV (29) 2020: 434-452 - [c171]Ranran Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi:
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction. EMNLP (Findings) 2020: 236-246 - [c170]Jiaming Shen, Heng Ji, Jiawei Han:
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. EMNLP (1) 2020: 303-313 - [c169]Manling Li, Qi Zeng, Ying Lin, Kyunghyun Cho, Heng Ji, Jonathan May, Nathanael Chambers, Clare R. Voss:
Connecting the Dots: Event Graph Schema Induction with Path Language Modeling. EMNLP (1) 2020: 684-695 - [c168]Lifu Huang, Heng Ji:
Semi-supervised New Event Type Induction and Event Detection. EMNLP (1) 2020: 718-724 - [c167]Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han:
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. EMNLP (1) 2020: 6989-6999 - [c166]Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han:
Text Classification Using Label Names Only: A Language Model Self-Training Approach. EMNLP (1) 2020: 9006-9017 - [c165]Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, Nazneen Fatema Rajani:
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis. INLG 2020: 384-397 - [c164]Di Lu, Ananya Subburathinam, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, Clare R. Voss:
Cross-lingual Structure Transfer for Zero-resource Event Extraction. LREC 2020: 1976-1981 - [e7]Claire Bonial, Tommaso Caselli, Snigdha Chaturvedi, Elizabeth Clark, Ruihong Huang, Mohit Iyyer, Alejandro Jaimes, Heng Ji, Lara J. Martin, Ben Miller, Teruko Mitamura, Nanyun Peng, Joel R. Tetreault:
Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, NUSE@ACL 2020, Online, July 9, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-13-2 [contents] - [i59]Tongtao Zhang, Heng Ji, Shih-Fu Chang, Marjorie Freedman:
Training with Streaming Annotation. CoRR abs/2002.04165 (2020) - [i58]Chao Xu, Jinyang Li, Tarek F. Abdelzaher, Heng Ji, Boleslaw K. Szymanski, John Dellaverson:
The Paradox of Information Access: On Modeling Social-Media-Induced Polarization. CoRR abs/2004.01106 (2020) - [i57]Tarek F. Abdelzaher, Heng Ji, Jinyang Li, Chaoqi Yang, John Dellaverson, Lixia Zhang, Chao Xu, Boleslaw K. Szymanski:
The Paradox of Information Access: Growing Isolation in the Age of Sharing. CoRR abs/2004.01967 (2020) - [i56]Manling Li, Alireza Zareian, Qi Zeng, Spencer Whitehead, Di Lu, Heng Ji, Shih-Fu Chang:
Cross-media Structured Common Space for Multimedia Event Extraction. CoRR abs/2005.02472 (2020) - [i55]Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych:
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. CoRR abs/2007.00576 (2020) - [i54]Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi:
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction. CoRR abs/2009.07503 (2020) - [i53]Jiaming Shen, Heng Ji, Jiawei Han:
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. CoRR abs/2010.00677 (2020) - [i52]Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang:
A Survey of Knowledge-Enhanced Text Generation. CoRR abs/2010.04389 (2020) - [i51]Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, Nazneen Fatema Rajani:
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis. CoRR abs/2010.06119 (2020) - [i50]Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han:
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. CoRR abs/2010.06705 (2020) - [i49]Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han:
Text Classification Using Label Names Only: A Language Model Self-Training Approach. CoRR abs/2010.07245 (2020) - [i48]Boliang Zhang, Spencer Whitehead, Lifu Huang, Heng Ji:
Global Attention for Name Tagging. CoRR abs/2010.09270 (2020) - [i47]Yuning Mao, Xiang Ren, Heng Ji, Jiawei Han:
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation. CoRR abs/2010.12723 (2020) - [i46]Lihui Liu, Boxin Du, Heng Ji, Hanghang Tong:
KompaRe: A Knowledge Graph Comparative Reasoning System. CoRR abs/2011.03189 (2020) - [i45]Xiaodan Hu, Pengfei Yu, Kevin Knight, Heng Ji, Bo Li, Honghui Shi:
MUSE: Illustrating Textual Attributes by Portrait Generation. CoRR abs/2011.04761 (2020) - [i44]Spencer Whitehead, Hui Wu, Yi Ren Fung, Heng Ji, Rogério Schmidt Feris, Kate Saenko:
Learning from Lexical Perturbations for Consistent Visual Question Answering. CoRR abs/2011.13406 (2020) - [i43]Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou:
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. CoRR abs/2012.15022 (2020)
2010 – 2019
- 2019
- [j16]Dong Wang, Boleslaw K. Szymanski, Tarek F. Abdelzaher, Heng Ji, Lance M. Kaplan:
The Age of Social Sensing. Computer 52(1): 36-45 (2019) - [j15]Tongtao Zhang, Heng Ji, Avirup Sil:
Joint Entity and Event Extraction with Generative Adversarial Imitation Learning. Data Intell. 1(2): 99-120 (2019) - [c163]Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, Jiawei Han:
Reliability-aware Dynamic Feature Composition for Name Tagging. ACL (1) 2019: 165-174 - [c162]Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan:
PaperRobot: Incremental Draft Generation of Scientific Ideas. ACL (1) 2019: 1980-1991 - [c161]Manling Li, Lingyu Zhang, Heng Ji, Richard J. Radke:
Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization. ACL (1) 2019: 2190-2196 - [c160]Xiaoman Pan, Thamme Gowda, Heng Ji, Jonathan May, Scott Miller:
Cross-lingual Joint Entity and Word Embedding to Improve Entity Linking and Parallel Sentence Mining. DeepLo@EMNLP-IJCNLP 2019: 56-66 - [c159]Kevin Blissett, Heng Ji:
Zero-Shot Cross-lingual Name Retrieval for Low-Resource Languages. DeepLo@EMNLP-IJCNLP 2019: 275-280 - [c158]Diya Li, Heng Ji:
Syntax-aware Multi-task Graph Convolutional Networks for Biomedical Relation Extraction. LOUHI@EMNLP 2019: 28-33 - [c157]Xiaoman Pan, Kai Sun, Dian Yu, Jianshu Chen, Heng Ji, Claire Cardie, Dong Yu:
Improving Question Answering with External Knowledge. MRQA@EMNLP 2019: 27-37 - [c156]Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji:
Low-Resource Name Tagging Learned with Weakly Labeled Data. EMNLP/IJCNLP (1) 2019: 261-270 - [c155]Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, Clare R. Voss:
Cross-lingual Structure Transfer for Relation and Event Extraction. EMNLP/IJCNLP (1) 2019: 313-325 - [c154]Ying Lin, Heng Ji:
An Attentive Fine-Grained Entity Typing Model with Latent Type Representation. EMNLP/IJCNLP (1) 2019: 6196-6201 - [c153]Shih-Fu Chang, Louis-Philippe Morency, Alexander G. Hauptmann, Alberto Del Bimbo, Cathal Gurrin, Hayley Hung, Heng Ji, Alan F. Smeaton:
PANEL: Challenges for Multimedia/Multimodal Research in the Next Decade. ACM Multimedia 2019: 2234-2235 - [c152]Indrani Bhattacharya, Michael Foley, Christine Ku, Ni Zhang, Tongtao Zhang, Cameron Mine, Manling Li, Heng Ji, Christoph Riedl, Brooke Foucault Welles, Richard J. Radke:
The unobtrusive group interaction (UGI) corpus. MMSys 2019: 249-254 - [c151]Manling Li, Ying Lin, Joseph Hoover, Spencer Whitehead, Clare R. Voss, Morteza Dehghani, Heng Ji:
Multilingual Entity, Relation, Event and Human Value Extraction. NAACL-HLT (Demonstrations) 2019: 110-115 - [c150]Diya Li, Lifu Huang, Heng Ji, Jiawei Han:
Biomedical Event Extraction based on Knowledge-driven Tree-LSTM. NAACL-HLT (1) 2019: 1421-1430 - [c149]Ronald Cardenas, Ying Lin, Heng Ji, Jonathan May:
A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages. NAACL-HLT (1) 2019: 2428-2439 - [c148]Lifu Huang, Heng Ji, Jonathan May:
Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging. NAACL-HLT (1) 2019: 3823-3833 - [e6]Maosong Sun, Xuanjing Huang, Heng Ji, Zhiyuan Liu, Yang Liu:
Chinese Computational Linguistics - 18th China National Conference, CCL 2019, Kunming, China, October 18-20, 2019, Proceedings. Lecture Notes in Computer Science 11856, Springer 2019, ISBN 978-3-030-32380-6 [contents] - [i42]Heng Ji, Avirup Sil, Hoa Trang Dang, Ian Soboroff, Joel Nothman:
Overview of TAC-KBP 2019 Fine-grained Entity Extraction. TAC 2019 - [i41]Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro A. Szekely, T. K. Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel E. Rodríguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang:
GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC 2019 - [i40]Ying Lin, Xiaoman Pan, Manling Li, Heng Ji:
A Baseline Fine-Grained Entity Extraction System for TAC-KBP2019. TAC 2019 - [i39]Xiaoman Pan, Kai Sun, Dian Yu, Heng Ji, Dong Yu:
Improving Question Answering with External Knowledge. CoRR abs/1902.00993 (2019) - [i38]Ronald Cardenas, Ying Lin, Heng Ji, Jonathan May:
A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages. CoRR abs/1904.05426 (2019) - [i37]Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan:
PaperRobot: Incremental Draft Generation of Scientific Ideas. CoRR abs/1905.07870 (2019) - [i36]Liyuan Liu, Zihan Wang, Jingbo Shang, Dandong Yin, Heng Ji, Xiang Ren, Shaowen Wang, Jiawei Han:
Raw-to-End Name Entity Recognition in Social Media. CoRR abs/1908.05344 (2019) - [i35]Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji:
Low-Resource Name Tagging Learned with Weakly Labeled Data. CoRR abs/1908.09659 (2019) - [i34]Dídac Surís, Dave Epstein, Heng Ji, Shih-Fu Chang, Carl Vondrick:
Learning to Learn Words from Narrated Video. CoRR abs/1911.11237 (2019) - 2018
- [j14]Ulf Hermjakob, Qiang Li, Daniel Marcu, Jonathan May, S. J. Mielke, Nima Pourdamghani, Michael Pust, Xing Shi, Kevin Knight, Tomer Levinboim, Kenton Murray, David Chiang, Boliang Zhang, Xiaoman Pan, Di Lu, Ying Lin, Heng Ji:
Incident-Driven Machine Translation and Name Tagging for Low-resource Languages. Mach. Transl. 32(1-2): 59-89 (2018) - [c147]Ying Lin, Cash Costello, Boliang Zhang, Di Lu, Heng Ji, James Mayfield, Paul McNamee:
Platforms for Non-speakers Annotating Names in Any Language. ACL (4) 2018: 1-6 - [c146]Avirup Sil, Heng Ji, Dan Roth, Silviu-Petru Cucerzan:
Multi-lingual Entity Discovery and Linking. ACL (5) 2018: 22-29 - [c145]Qingyun Wang, Zhihao Zhou, Lifu Huang, Spencer Whitehead, Boliang Zhang, Heng Ji, Kevin Knight:
Paper Abstract Writing through Editing Mechanism. ACL (2) 2018: 260-265 - [c144]Ying Lin, Shengqi Yang, Veselin Stoyanov, Heng Ji:
A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling. ACL (1) 2018: 799-809 - [c143]Di Lu, Leonardo Neves, Vitor Carvalho, Ning Zhang, Heng Ji:
Visual Attention Model for Name Tagging in Multimodal Social Media. ACL (1) 2018: 1990-1999 - [c142]Lifu Huang, Heng Ji, Kyunghyun Cho, Ido Dagan, Sebastian Riedel, Clare R. Voss:
Zero-Shot Transfer Learning for Event Extraction. ACL (1) 2018: 2160-2170 - [c141]Ying Lin, Joe Hoover, Gwenyth Portillo-Wightman, Christina Park, Morteza Dehghani, Heng Ji:
Acquiring Background Knowledge to Improve Moral Value Prediction. ASONAM 2018: 552-559 - [c140]Zhiying Jiang, Boliang Zhang, Lifu Huang, Heng Ji:
Chengyu Cloze Test. BEA@NAACL-HLT 2018: 154-158 - [c139]Quan Yuan, Xiang Ren, Wenqi He, Chao Zhang, Xinhe Geng, Lifu Huang, Heng Ji, Chin-Yew Lin, Jiawei Han:
Open-Schema Event Profiling for Massive News Corpora. CIKM 2018: 587-596 - [c138]Boliang Zhang, Spencer Whitehead, Lifu Huang, Heng Ji:
Global Attention for Name Tagging. CoNLL 2018: 86-96 - [c137]Ni Zhang, Tongtao Zhang, Indrani Bhattacharya, Heng Ji, Richard J. Radke:
Visualizing Group Dynamics based on Multiparty Meeting Understanding. EMNLP (Demonstration) 2018: 96-101 - [c136]Lifu Huang, Kyunghyun Cho, Boliang Zhang, Heng Ji, Kevin Knight:
Multi-lingual Common Semantic Space Construction via Cluster-Consistent Word Embedding. EMNLP 2018: 250-260 - [c135]Ge Shi, Chong Feng, Lifu Huang, Boliang Zhang, Heng Ji, Lejian Liao, Heyan Huang:
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction. EMNLP 2018: 1018-1023 - [c134]Tao Ge, Qing Dou, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou:
Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition. EMNLP 2018: 2496-2506 - [c133]Spencer Whitehead, Heng Ji, Mohit Bansal, Shih-Fu Chang, Clare R. Voss:
Incorporating Background Knowledge into Video Description Generation. EMNLP 2018: 3992-4001 - [c132]Di Lu, Spencer Whitehead, Lifu Huang, Heng Ji, Shih-Fu Chang:
Entity-aware Image Caption Generation. EMNLP 2018: 4013-4023 - [c131]Indrani Bhattacharya, Michael Foley, Ni Zhang, Tongtao Zhang, Christine Ku, Cameron Mine, Heng Ji, Christoph Riedl, Brooke Foucault Welles, Richard J. Radke:
A Multimodal-Sensor-Enabled Room for Unobtrusive Group Meeting Analysis. ICMI 2018: 347-355 - [c130]Qingyun Wang, Xiaoman Pan, Lifu Huang, Boliang Zhang, Zhiying Jiang, Heng Ji, Kevin Knight:
Describing a Knowledge Base. INLG 2018: 10-21 - [c129]Halidanmu Abudukelimu, Abudoukelimu Abulizi, Boliang Zhang, Xiaoman Pan, Di Lu, Heng Ji, Yang Liu:
Error Analysis of Uyghur Name Tagging: Language-specific Techniques and Remaining Challenges. LREC 2018 - [c128]Boliang Zhang, Ying Lin, Xiaoman Pan, Di Lu, Jonathan May, Kevin Knight, Heng Ji:
ELISA-EDL: A Cross-lingual Entity Extraction, Linking and Localization System. NAACL-HLT (Demonstrations) 2018: 41-45 - [c127]Yue Liu, Tongtao Zhang, Zhicheng Liang, Heng Ji, Deborah L. McGuinness:
Seq2RDF: An End-to-end Application for Deriving Triples from Natural Language Text. International Semantic Web Conference (P&D/Industry/BlueSky) 2018 - [e5]Marilyn A. Walker, Heng Ji, Amanda Stent:
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2018, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 1 (Long Papers). Association for Computational Linguistics 2018, ISBN 978-1-948087-27-8 [contents] - [e4]Marilyn A. Walker, Heng Ji, Amanda Stent:
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 2 (Short Papers). Association for Computational Linguistics 2018, ISBN 978-1-948087-29-2 [contents] - [r2]Heng Ji:
Information Extraction. Encyclopedia of Database Systems (2nd ed.) 2018 - [i33]Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer Whitehead, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Ruiqi Zhong, Steven Shao, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro A. Szekely, T. K. Satish Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel E. Rodríguez, Daisy Zhe Wang:
GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC 2018 - [i32]Dong Wang, Boleslaw K. Szymanski, Tarek F. Abdelzaher, Heng Ji, Lance M. Kaplan:
The Age of Social Sensing. CoRR abs/1801.09116 (2018) - [i31]Yue Liu, Tao Ge, Kusum S. Mathews, Heng Ji, Deborah L. McGuinness:
Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion. CoRR abs/1804.04225 (2018) - [i30]Lifu Huang, Kyunghyun Cho, Boliang Zhang, Heng Ji, Kevin Knight:
Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding. CoRR abs/1804.07875 (2018) - [i29]Tongtao Zhang, Heng Ji:
Event Extraction with Generative Adversarial Imitation Learning. CoRR abs/1804.07881 (2018) - [i28]Di Lu, Spencer Whitehead, Lifu Huang, Heng Ji, Shih-Fu Chang:
Entity-aware Image Caption Generation. CoRR abs/1804.07889 (2018) - [i27]Qingyun Wang, Zhihao Zhou, Lifu Huang, Spencer Whitehead, Boliang Zhang, Heng Ji, Kevin Knight:
Paper Abstract Writing through Editing Mechanism. CoRR abs/1805.06064 (2018) - [i26]Yue Liu, Tongtao Zhang, Zhicheng Liang, Heng Ji, Deborah L. McGuinness:
Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text. CoRR abs/1807.01763 (2018) - [i25]Qingyun Wang, Xiaoman Pan, Lifu Huang, Boliang Zhang, Zhiying Jiang, Heng Ji, Kevin Knight:
Describing a Knowledge Base. CoRR abs/1809.01797 (2018) - 2017
- [j13]Lifu Huang, Jonathan May, Xiaoman Pan, Heng Ji, Xiang Ren, Jiawei Han, Lin Zhao, James A. Hendler:
Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems. Big Data 5(1): 19-31 (2017) - [c126]