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TAC 2017
NIST Building 101

Monday, November 13, 2017
8:00 Bus from Gaithersburg Marriott Washingtonian Center to NIST
Photo identification must be presented at check-in at the Visitor Center. Non-U.S. citizens must provide a passport.

If you are planning to drive a vehicle onto the NIST campus you will be required to show the vehicle registration or the car rental agreement before entering the NIST campus.

Attendees must wear their conference badge at all times while on the campus.
8:00–9:00Workshop Check-InGreen Auditorium area
Continental BreakfastHeritage Room
9:00–9:15WelcomePortrait Room
9:15–10:15Invited TalkPortrait Room
9:15–10:15 End-to-end Deep Learning for Broad Coverage Semantics: SRL, Coreference, and Beyond
Luke Zettlemoyer (University of Washington)
10:15–10:45BreakHeritage Room
10:45–12:30KBP Session I: Track OverviewsPortrait Room
10:45–11:10 Overview of the Cold Start Knowlege Base Construction and Slot Filling Tracks
Shahzad Rajput (U.S. National Institute of Standards and Technology)
11:10–11:30 Overview of TAC-KBP2017 13 Languages Entity Discovery and Linking
Heng Ji (Rensselaer Polytechnic Institute)
11:30–11:50 Overview of the Event Argument Extraction and Linking Track
Marjorie Freedman (USC Information Sciences Institute)
11:50–12:10 Events Detection, Coreference and Sequencing: What's next? Overview of the TAC KBP 2017 Event Track
Teruko Mitamura (Carnegie Mellon University)
12:10–12:30 The 2017 TAC KBP BeSt Evaluation
Owen Rambow (Columbia University)
1:45–3:20KBP Session II: Resources and KBsPortrait Room
1:45–2:15 Overview of Linguistic Resources for the TAC KBP 2017 Evaluations
Jeremy Getman and Jennifer Tracey (Linguistic Data Consortium)
2:15–2:55 TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction
Heng Ji (Rensselaer Polytechnic Institute), Christopher Manning (Stanford University), and Owen Rambow (Columbia University)
2:55–3:10 Adept Automatic Knowledge Discovery: A Recipe for Combining Disparate Algorithms
Manaj Srivastava (Raytheon BBN Technologies)
3:10–3:20 KB/Integration Discussion
Moderator: Marjorie Freedman (USC Information Sciences Institute)
3:20–5:00Poster/Demo Session with BreakGreen Auditorium Area
5:15 Bus from NIST to Gaithersburg Marriott Washingtonian Center
6:00–8:00TAC DinnerGuapo's, Gaithersburg, MD
Tuesday, November 14, 2017
8:00 Bus from Gaithersburg Marriott Washingtonian Center to NIST
Attendees must wear their conference badge at all times while on the campus.
8:00–9:00Continental BreakfastHeritage Room
9:00–10:30ADR Session IPortrait Room
9:00–9:30 Overview of the TAC 2017 Adverse Reaction Extraction from Drug Labels Track
Kirk Roberts (University of Texas Health Science Center at Houston)
9:30–10:00 Potential Use and Limitations of Machine Learning Approaches to Extract Adverse Drug Reactions from Product Labels
Rave Harpaz (Oracle Health Sciences)
10:00–10:30 UTH_CCB System for Adverse Drug Reaction Extraction from Drug Labels at TAC-ADR 2017
Hua Xu (University of Texas Health Science Center at Houston)
10:30–11:00BreakHeritage Room
11:00–12:15ADR Session IIPortrait Room
11:00–11:30 Extracting and Normalizing Adverse Drug Reactions from Drug Labels
Carson Tao and Kahyun Lee (University at Albany, SUNY)
11:30–11:45 Integration of machine learning- and dictionary-based approach for identification of adverse drug reactions in drug labels
Junguk Hur (University of North Dakota)
11:45–12:00 Deep Learning architectures for Adverse Drug Reaction Extraction from Drug Label
Bharath Dandala (IBM Research)
12:00–12:15 Machine learning vs. knowledge based approaches to ADR identification
Jose L. Martinez (eHealth Solutions, MeaningCloud LLC) and Paloma Martinez (Advanced Databases Group, Universidad Carlos III de Madrid)
1:15–3:15KBP Session III: ComponentsPortrait Room
1:15–1:35 The TAI System for Trilingual Entity Discovery and Linking Track in TAC KBP 2017
Tao Yang (Tencent AI Platform Department)
1:35–1:55 Exploring Multi-level Distributional Semantics for Cross-lingual Entity Discovery and Linking
Boliang Zhang and Xiaoman Pan (Rensselaer Polytechnic Institute)
1:55–2:15 Neural Mention Detection, Coref and Entity Linking for TAC
Avirup Sil (IBM Research)
2:15–2:30 Use FOFE-based Deep Neural Networks for Entity Discovery and Linking
Nargiza Nosirova (York University)
2:30–2:45 Improve Neural Mention Detection and Classification via Enforced Training and Inference Consistency
Huasha Zhao (Alibaba Group)
2:45–3:00 SRCB at TAC KBP 2017 Event Nugget Track
Shanshan Jiang (Ricoh Software Research Center)
3:00–3:15 BBN Event Argument Extraction
Jay DeYoung (Raytheon BBN Technologies)
3:15–3:45BreakHeritage Room
3:45–5:00TAC 2018 Planning SessionPortrait Room
3:45–3:55 Drug-Drug Interaction Extraction from Drug Labels
Dina Demner-Fushman (U.S. National Library of Medicine)
3:55–4:25 Systematic Review
Charles Schmitt (U.S. National Institute of Environmental Health Sciences)
4:25–5:00 Streaming Multi-Media Knowledge Base Population
Hoa Dang (U.S. National Institute of Standards and Technology)
5:15 Bus from NIST to Gaithersburg Marriott Washingtonian Center

A sign-up sheet will be available at the registration desk if you would like to be picked up from NIST by an airport shuttle or taxi at the end of the workshop. Please provide this information as early as possible. Please be aware that if you make arrangements to be picked up at NIST without first signing up at the registration desk, the taxi/shuttle will not be allowed inside the NIST gate, and you must meet the vehicle at the NIST Visitor Center (Gate A -- Main Gate), which is a 10-minute walk from Building 101.

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Last updated: Saturday, 11-Nov-2017 01:58:05 EST
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