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Journal Articles
- 2018
[j1]Ryan Gabbard
, Jay DeYoung, Constantine Lignos, Marjorie Freedman, Ralph M. Weischedel:
Combining rule-based and statistical mechanisms for low-resource named entity recognition. Mach. Transl. 32(1-2): 31-43 (2018)
Conference and Workshop Papers
- 2023
- [c25]Shuai Liu, Hyundong Cho, Marjorie Freedman, Xuezhe Ma, Jonathan May:
RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation. ACL (1) 2023: 8404-8419 - [c24]Manuel R. Ciosici, Alex Hedges, Yash Kankanampati, Justin Martin, Marjorie Freedman, Ralph M. Weischedel:
Remember what you did so you know what to do next. EMNLP (Findings) 2023: 1550-1562 - [c23]Te-Lin Wu, Zi-Yi Dou, Qingyuan Hu, Yu Hou, Nischal Reddy Chandra, Marjorie Freedman, Ralph M. Weischedel, Nanyun Peng:
ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos. EMNLP 2023: 11753-11770 - 2022
- [c22]Te-Lin Wu, Alexander Spangher, Pegah Alipoormolabashi, Marjorie Freedman, Ralph M. Weischedel, Nanyun Peng:
Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals. ACL (1) 2022: 4525-4542 - 2021
- [c21]Hyundong Cho, Genevieve Bartlett, Marjorie Freedman:
Agenda Pushing in Email to Thwart Phishing. DialDoc@ACL-IJCNLP 2021: 113-118 - [c20]Deniz Beser, Joe Cecil, Marjorie Freedman, Jacob A. Lichtefeld, Mitch Marcus, Sarah R. B. Payne, Charles Yang:
A Grounded Approach to Modeling Generic Knowledge Acquisition. CogSci 2021 - [c19]Ryan Gabbard, Jacob A. Lichtefeld, Deniz Beser, Joe Cecil, Mitch Marcus, Sarah R. B. Payne, Charles Yang, Marjorie Freedman:
Grounding Word Learning Across Situations. CogSci 2021 - [c18]Manuel R. Ciosici, Joe Cecil, Dong-Ho Lee, Alex Hedges, Marjorie Freedman, Ralph M. Weischedel:
Perhaps PTLMs Should Go to School - A Task to Assess Open Book and Closed Book QA. EMNLP (1) 2021: 6104-6111 - [c17]Manuel R. Ciosici, Joseph Cummings, Mitchell DeHaven, Alex Hedges, Yash Kankanampati, Dong-Ho Lee, Ralph M. Weischedel, Marjorie Freedman:
Machine-Assisted Script Curation. NAACL-HLT (Demonstrations) 2021: 8-17 - 2020
- [c16]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 - [c15]Joel Barry, Elizabeth Boschee, Marjorie Freedman, Scott Miller:
SEARCHER: Shared Embedding Architecture for Effective Retrieval. CLSSTS@LREC 2020: 22-25 - 2019
- [c14]Elizabeth Boschee, Joel Barry, Jayadev Billa, Marjorie Freedman, Thamme Gowda, Constantine Lignos, Chester Palen-Michel, Michael Pust, Banriskhem K. Khonglah, Srikanth R. Madikeri, Jonathan May, Scott Miller:
SARAL: A Low-Resource Cross-Lingual Domain-Focused Information Retrieval System for Effective Rapid Document Triage. ACL (3) 2019: 19-24 - [c13]Meryem M'hamdi, Marjorie Freedman, Jonathan May:
Contextualized Cross-Lingual Event Trigger Extraction with Minimal Resources. CoNLL 2019: 656-665 - 2018
- [c12]Bonan Min, Marjorie Freedman, Roger Bock, Ralph M. Weischedel:
When ACE met KBP: End-to-End Evaluation of Knowledge Base Population with Component-level Annotation. LREC 2018 - 2017
- [c11]Bonan Min, Marjorie Freedman, Talya Meltzer:
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge. EACL (1) 2017: 601-612 - [c10]Bonan Min, Zhuolin Jiang, Marjorie Freedman, Ralph M. Weischedel:
Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks. IJCNLP(1) 2017: 674-684 - 2016
- [c9]Ann Bies, Zhiyi Song, Jeremy Getman, Joe Ellis, Justin Mott, Stephanie M. Strassel, Martha Palmer, Teruko Mitamura, Marjorie Freedman, Heng Ji, Tim O'Gorman:
A Comparison of Event Representations in DEFT. EVENTS@HLT-NAACL 2016: 27-36 - 2014
- [c8]Elizabeth Boschee, Marjorie Freedman, Saurabh Khanwalkar, Anoop Kumar, Amit Srivastava, Ralph M. Weischedel:
Researching persons & organizations: AWAKE: From text to an entity-centric knowledge base. IEEE BigData 2014: 1030-1039 - 2012
- [c7]Alex Baron, Vasin Punyakanok, Marjorie Freedman:
Using Signals from Text to Identify Roles within a Group. ICSC 2012: 38-44 - 2011
- [c6]Ryan Gabbard, Marjorie Freedman, Ralph M. Weischedel:
Coreference for Learning to Extract Relations: Yes Virginia, Coreference Matters. ACL (2) 2011: 288-293 - [c5]Marjorie Freedman, Alex Baron, Vasin Punyakanok, Ralph M. Weischedel:
Language Use: What can it tell us? ACL (2) 2011: 341-345 - [c4]Marjorie Freedman, Lance A. Ramshaw, Elizabeth Boschee, Ryan Gabbard, Gary Kratkiewicz, Nicolas Ward, Ralph M. Weischedel:
Extreme Extraction - Machine Reading in a Week. EMNLP 2011: 1437-1446 - 2009
- [c3]James Mayfield, David Alexander, Bonnie J. Dorr, Jason Eisner, Tamer Elsayed, Tim Finin, Clayton Fink, Marjorie Freedman, Nikesh Garera, Paul McNamee, Saif M. Mohammad, Douglas W. Oard, Christine D. Piatko, Asad B. Sayeed, Zareen Syed, Ralph M. Weischedel, Tan Xu, David Yarowsky:
Cross-Document Coreference Resolution: A Key Technology for Learning by Reading. AAAI Spring Symposium: Learning by Reading and Learning to Read 2009: 65-70 - 2008
- [c2]Alex Baron, Marjorie Freedman:
Who is Who and What is What: Experiments in Cross-Document Co-Reference. EMNLP 2008: 274-283 - 2007
- [c1]Michael Levit, Elizabeth Boschee, Marjorie Freedman:
Selecting on-topic sentences from natural language corpora. INTERSPEECH 2007: 2793-2796
Informal and Other Publications
- 2024
- [i14]Mithün Paul, Genevieve Bartlett, Jelena Mirkovic, Marjorie Freedman:
Phishing Email Detection Using Inputs From Artificial Intelligence. CoRR abs/2405.12494 (2024) - 2023
- [i13]Shuai Liu, Hyundong Cho, Marjorie Freedman, Xuezhe Ma, Jonathan May:
RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation. CoRR abs/2306.07206 (2023) - [i12]Manuel R. Ciosici, Alex Hedges, Yash Kankanampati, Justin Martin, Marjorie Freedman, Ralph M. Weischedel:
Remember what you did so you know what to do next. CoRR abs/2311.01468 (2023) - [i11]Te-Lin Wu, Zi-Yi Dou, Qingyuan Hu, Yu Hou, Nischal Reddy Chandra, Marjorie Freedman, Ralph M. Weischedel, Nanyun Peng:
ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos. CoRR abs/2311.01620 (2023) - 2021
- [i10]Manuel R. Ciosici, Joseph Cummings, Mitchell DeHaven, Alex Hedges, Yash Kankanampati, Dong-Ho Lee, Ralph M. Weischedel, Marjorie Freedman:
Machine-Assisted Script Curation. CoRR abs/2101.05400 (2021) - [i9]Ryan Gabbard, Deniz Beser, Jacob A. Lichtefeld, Joe Cecil, Mitch Marcus, Sarah R. B. Payne, Charles Yang, Marjorie Freedman:
ADAM: A Sandbox for Implementing Language Learning. CoRR abs/2105.02263 (2021) - [i8]Deniz Beser, Joe Cecil, Marjorie Freedman, Jacob A. Lichtefeld, Mitch Marcus, Sarah R. B. Payne, Charles Yang:
A Grounded Approach to Modeling Generic Knowledge Acquisition. CoRR abs/2105.03207 (2021) - [i7]Manuel R. Ciosici, Joe Cecil, Alex Hedges, Dong-Ho Lee, Marjorie Freedman, Ralph M. Weischedel:
Perhaps PTLMs Should Go to School - A Task to Assess Open Book and Closed Book QA. CoRR abs/2110.01552 (2021) - [i6]Te-Lin Wu, Alexander Spangher, Pegah Alipoormolabashi, Marjorie Freedman, Ralph M. Weischedel, Nanyun Peng:
Understanding Procedural Knowledge by Sequencing Multimodal Instructional Manuals. CoRR abs/2110.08486 (2021) - 2020
- [i5]Tongtao Zhang, Heng Ji, Shih-Fu Chang, Marjorie Freedman:
Training with Streaming Annotation. CoRR abs/2002.04165 (2020) - 2019
- [i4]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 - 2018
- [i3]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 - [i2]Ryan Gabbard, Jay DeYoung, Marjorie Freedman:
Events Beyond ACE: Curated Training for Events. CoRR abs/1809.05576 (2018) - 2017
- [i1]Jay DeYoung, Yee Seng Chan, Chinnu Pittapally, Hannah Provenza, Ryan Gabbard, Marjorie Freedman:
BBN's 2017 KBP EAL Submission. TAC 2017
Coauthor Index
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