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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
9:00–9:15Welcome/IntroPortrait Room
9:15–10:15Invited TalkPortrait Room
9:15–10:15 End-to-end Deep Learning for Broad Coverage Semantics: SRL, Coreference, and Beyond    [abstract]
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    [paper]
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    [paper]
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    [paper]
Jeremy Getman and Jennifer Tracey (Linguistic Data Consortium)
2:15–2:55 TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction    [paper]
Heng Ji (Rensselaer Polytechnic Institute), Christopher Manning (Stanford University), Mark Sammons (University of Illinois at Urbana-Champaign), 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    [paper]
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    [paper]
Rave Harpaz (Oracle Health Sciences)
10:00–10:30 UTH_CCB System for Adverse Drug Reaction Extraction from Drug Labels at TAC-ADR 2017    [paper]
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    [paper]
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    [paper]
Junguk Hur (University of North Dakota)
11:45–12:00 IBM Research System at TAC 2017 Adverse Drug Reactions Extraction from Drug Labels    [paper]
Bharath Dandala (IBM Research)
12:00–12:15 Machine learning vs. knowledge based approaches to ADR identification    [paper]
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    [paper]
Tao Yang (Tencent AI Platform Department)
1:35–1:55 Exploring Multi-level Distributional Semantics for Cross-lingual Entity Discovery and Linking    [paper]
Boliang Zhang and Xiaoman Pan (Rensselaer Polytechnic Institute)
1:55–2:15 Neural Cross-Lingual Entity Discovery and Linking    [paper]
Avirup Sil (IBM Research)
2:15–2:30 FOFE-based Deep Neural Networks for Entity Discovery and Linking    [paper]
Nargiza Nosirova (York University)
2:30–2:45 A Collection of Techniques for Improving Neural Entity Detection and Classification    [paper]
Huasha Zhao (Alibaba Group)
2:45–3:00 SRCB at TAC KBP 2017 Event Nugget Track    [paper]
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 Structured Drug Labels
Dina Demner-Fushman (U.S. National Library of Medicine)
3:55–4:25 Data Extraction for Systematic Review
Charles Schmitt (U.S. National Institute of Environmental Health Sciences)
4:25–5:00 Streaming Multimedia 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: Monday, 16-Apr-2018 16:48:42 EDT
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