Articles with public access mandates - Di LuLearn more
Not available anywhere: 1
Incident-driven machine translation and name tagging for low-resource languages
U Hermjakob, Q Li, D Marcu, J May, SJ Mielke, N Pourdamghani, M Pust, ...
Machine Translation 32, 59-89, 2018
Mandates: US Department of Defense
Available somewhere: 17
Visual attention model for name tagging in multimodal social media
D Lu, L Neves, V Carvalho, N Zhang, H Ji
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
Mandates: US Department of Defense
On predicting social unrest using social media
R Korolov, D Lu, J Wang, G Zhou, C Bonial, C Voss, L Kaplan, W Wallace, ...
2016 IEEE/ACM international conference on advances in social networks …, 2016
Mandates: US National Science Foundation
A review of incident prediction, resource allocation, and dispatch models for emergency management
A Mukhopadhyay, G Pettet, SM Vazirizade, D Lu, A Jaimes, S El Said, ...
Accident Analysis & Prevention 165, 106501, 2022
Mandates: US National Science Foundation
Cross-lingual structure transfer for relation and event extraction
A Subburathinam, D Lu, H Ji, J May, SF Chang, A Sil, C Voss
Proceedings of the 2019 conference on empirical methods in natural language …, 2019
Mandates: US Department of Defense, US Office of the Director of National Intelligence
Elisa-edl: A cross-lingual entity extraction, linking and localization system
B Zhang, Y Lin, X Pan, D Lu, J May, K Knight, H Ji
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
Mandates: US Department of Defense
Platforms for non-speakers annotating names in any language
Y Lin, C Costello, B Zhang, D Lu, H Ji, J Mayfield, P McNamee
Proceedings of ACL 2018, System Demonstrations, 1-6, 2018
Mandates: US Department of Defense
Cross-media event extraction and recommendation
D Lu, C Voss, F Tao, X Ren, R Guan, R Korolov, T Zhang, D Wang, H Li, ...
Proceedings of the 2016 conference of the North American chapter of the …, 2016
Mandates: US National Science Foundation
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction.
M Al-Badrashiny, J Bolton, AT Chaganty, K Clark, C Harman, L Huang, ...
TAC, 2017
Mandates: US Department of Defense
GAIA-A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.
T Zhang, A Subburathinam, G Shi, L Huang, D Lu, X Pan, M Li, B Zhang, ...
TAC, 2018
Mandates: US National Science Foundation, US Department of Defense
RPI BLENDER TAC-KBP2016 System Description.
D Yu, X Pan, B Zhang, L Huang, D Lu, S Whitehead, H Ji
TAC, 2016
Mandates: US National Science Foundation
Embracing non-traditional linguistic resources for low-resource language name tagging
B Zhang, D Lu, X Pan, Y Lin, H Abudukelimu, H Ji, K Knight
Proceedings of the Eighth International Joint Conference on Natural Language …, 2017
Mandates: US Department of Defense
A Multi-media Approach to Cross-lingual Entity Knowledge Transfer
D Lu, X Pan, N Pourdamghani, SF Chang, H Ji, K Knight
Proc. the 54th Annual Meeting of the Association for Computational …, 2016
Mandates: US National Science Foundation
Cross-lingual structure transfer for zero-resource event extraction
D Lu, A Subburathinam, H Ji, J May, SF Chang, A Sil, C Voss
Proceedings of the twelfth language resources and evaluation conference …, 2020
Mandates: US Department of Defense, US Office of the Director of National Intelligence
Elisa system description for lorehlt 2017
L Cheung, T Gowda, U Hermjakob, N Liu, J May, A Mayn, ...
Proc. Low Resource Human Lang. Technol, 51-59, 2017
Mandates: US Department of Defense
Team ELISA System for DARPA LORELEI Speech Evaluation 2016.
P Papadopoulos, R Travadi, C Vaz, N Malandrakis, U Hermjakob, ...
INTERSPEECH, 2053-2057, 2017
Mandates: US Department of Defense
GAIA at SMKBP 2020-a dockerlized multi-media multi-lingual knowledge extraction, clustering, temporal tracking and hypothesis generation system
M Li, Y Lin, TM Lai, X Pan, H Wen, S Li, Z Wang, P Yu, L Huang, D Lu, ...
Proceedings of Thirteenth Text Analysis Conference (TAC 2020), 2020
Mandates: US Department of Defense
GAIA at SM-KBP 2019-A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.
M Li, Y Lin, A Subburathinam, S Whitehead, X Pan, D Lu, Q Wang, ...
TAC, 2019
Mandates: US Department of Defense
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