TAC 2017 Tracks
Call for Participation
Track Registration
Reporting Guidelines
TAC 2017 Workshop
General Info
Agenda
Notebook
Registration Form
Invitation Letter
NIST Visitor Info
TAC 2017
WORKSHOP SCHEDULE
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. | ||
| 8:00–9:00 | Workshop Check-In | Green Auditorium area |
| Continental Breakfast | Heritage Room | |
| 9:00–9:15 | Welcome | Portrait Room |
| 9:15–10:15 | Invited Talk | Portrait Room |
| 9:15–10:15 |
End-to-end Deep Learning for Broad Coverage Semantics: SRL, Coreference, and Beyond Luke Zettlemoyer (University of Washington) | |
| 10:15–10:45 | Break | Heritage Room |
| 10:45–12:30 | KBP Session I: Track Overviews | Portrait 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) | |
| 12:30–1:45 | Lunch | |
| 1:45–3:20 | KBP Session II: Resources and KBs | Portrait 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) | |
| 3:20–5:00 | Poster/Demo Session with Break | Green Auditorium Area |
| 5:15 | Bus from NIST to Gaithersburg Marriott Washingtonian Center | |
| 6:00–8:00 | TAC Dinner | Guapo'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. | ||
| 8:00–9:00 | Continental Breakfast | Heritage Room |
| 9:00–10:30 | ADR Session I | Portrait 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) | |
| 10:30–11:00 | Break | Heritage Room |
| 11:00–12:15 | ADR Session II | Portrait 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) | |
| 12:15–1:15 | Lunch | |
| 1:15–3:15 | KBP Session III: Components | Portrait 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) | |
| 3:15–3:45 | Break | Heritage Room |
| 3:45–5:00 | TAC 2018 Planning Session | Portrait 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. | |