M. Kazerounian, J. Foster, and Bonan Min, "SimTyper: Sound Type Inference for Ruby using Type Equality
Prediction," Proceedings of the ACM on Programming Languages (OOPSLA), Vol. 5, Oct 2021.
https://dl.acm.org/doi/10.1145/3485483
Bonan Min, Benjamin Rozonoyer, Haoling Qiu, A. Zamanian, N. Xue, and Jessica MacBride, "ExcavatorCovid:
Extracting Events and Relations from Text Corpora for Temporal and Causal Analysis for COVID-19,"
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System
Demonstrations, pp. 63–71, Aug 2021.
https://arxiv.org/abs/2105.01819
A.P.B. Veyseh, M.V. Nguyen, N. Trung, Bonan Min, and T.H. Nguyen, "Modeling Document-Level Context for
Event Detection via Important Context Selection," Proceedings of the 2021 Conference on Empirical Methods
in Natural Language Processing, pp. 5403–5413, Nov 2021.
https://aclanthology.org/2021.emnlp-main.439/
A.P.B. Veyseh, M.V. Nguyen, Bonan Min, and T.H. Nguyen, "Augmenting Open-Domain Event Detection with
Synthetic Data from GPT-2," Proceedings of The European Conference on Machine Learning and Principles and
Practice of Knowledge Discovery in Databases (ECML PKDD), 2021.
https://2021.ecmlpkdd.org/wp-content/uploads/2021/07/sub_954.pdf
M.V. Nguyen, T.N. Nguyen, Bonan Min, and T.H. Nguyen, "Crosslingual Transfer Learning for Relation and
Event Extraction via Word Category and Class Alignments," Proceedings of the 2021 Conference on Empirical
Methods in Natural Language Processing, pp. 5414–5426, Nov 2021.
https://aclanthology.org/2021.emnlp-main.440.pdf
Bonan Min, "Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference
Resolution," Proceedings of the 4th Workshop on Computational Models of Reference Anaphora and
Coreference (CRAC 2021) at EMNLP, 2021.
https://aclanthology.org/2021.crac-1.10/
S. Hemanth Kandula and Bonan Min, "Improving Cross-Lingual Sentiment Analysis via Conditional Language
Adversarial Nets," Proceedings of the Third Workshop on Computational Typology and Multilingual NLP at
NAACL, 2021.
https://aclanthology.org/2021.sigtyp-1.4.pdf
J. Yao, Haoling Qiu, J. Zhao, Bonan Min, and N. Xue, "Factuality Assessment as Modal Dependency Parsing,"
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th
International Joint Conference on Natural Language Processing, pp. 1540–1550, Aug 2021.
https://aclanthology.org/2021.acl-long.122.pdf
Shannon Wotherspoon, William Hartmann, Matthew Snover, and Owen Kimball, "Improved Data Selection
for Domain Adaptation in ASR," IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP), pp. 7018-7022, Jun 2021. https://doi.org/10.1109/ICASSP39728.2021.9413869
https://ieeexplore.ieee.org/document/9413869
2020
Z. Jiang, Amro El-Jaroudi, William Hartmann, Damianos Karakos, and Lingjun Zhao, “Cross-lingual Information Retrieval with BERT,” Cross-Language Search and Summarization of Text and Speech (CLSSTS2020), pp. 26-31, May 2020.
Damianos Karakos, R. Zbib, William Hartmann, Richard Schwartz, and John Makhoul, “Reformulating Information Retrieval from Speech and Text as a Detection Problem,” Cross-Language Search and Summarization of Text and Speech (CLSSTS2020), pp. 38-43, May 2020.
Richard Schwartz, John Makhoul, Lee Tarlin, and Damianos Karakos, “What Set of Documents to Present to an Analyst?,” Cross-Language Search and Summarization of Text and Speech (CLSSTS2020), pp. 52-57, May 2020
Le Zhang, Damianos Karakos, William Hartmann, Manaj Srivastava, Lee Tarlin, David Akodes, Sanjay Krishna Gouda, N. Bathool, L. Zhao, Z. Jiang, Richard Schwartz, and John Makhoul, “The 2019 BBN Cross-lingual Information Retrieval System,” Cross-Language Search and Summarization of Text and Speech (CLSSTS2020), pp. 44-51, May 2020.
H. Ross, J. Cai, and B. Min. "Exploring Contextualized Neural Language Models for Temporal Dependency Parsing." In proceedings of EMNLP 2020. https://aclanthology.org/2020.emnlp-main.689
B.Min, Y. Chan, L. Zhao. "Towards Few-Shot Event Mention Retrieval: An Evaluation Framework and A Siamese Network Approach." In Proceedings of LREC 2020.https://aclanthology.org/2020.lrec-1.216/
B. Min, M. Srivastava, H. Qiu, P. Muthukumar and J. Fasching. "LearnIt: On-Demand Rapid Customization for Event-Event Relation Extraction." In Proceedings of AAAI 2020 (demonstration).https://ojs.aaai.org/index.php/AAAI/article/view/7102
2019
L. Zhao, R. Zbib, Z. Jiang, D. Karakos, and Z. Huang. "Weakly Supervised Attentional Model for Low Resource Ad-hoc Cross-lingual Information Retrieval." DeepLo-2019.https://aclanthology.org/D19-6129/
B. Min, Y. Chan, H. Qiu and J. Fasching. "Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature." EMNLP-IJCNLP 2019.https://aclanthology.org/D19-1680/
B. Min and X. Zhao. "Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study." EMNLP-IJCNLP 2019.https://aclanthology.org/D19-1121/
D. Bagchi and W. Hartmann. "Learning from the Best: A Teacher-student Multilingual Framework for Low-resource Languages." In ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6051-6055. IEEE, 2019.https://ieeexplore.ieee.org/document/8683491
Y. Chan, J. Fasching, H. Qiu and B. Min, "Rapid Customization for Event Extraction,"
ACL-2019 Systems Demonstrations, 2019, pp. 31-36.https://aclanthology.org/P19-3006/
R. Zbib, L. Zhao, D. Karakos, W. Hartmann, J. DeYoung, Z. Huang, Z. Jiang, N. Rivkin,
L. Zhang, R. Schwartz, and J. Makhoul, "Neural-Network Lexical Translation for
Cross-lingual IR from Text and Speech," Proceedings of the 42nd International ACM
SIGIR Conference on Research and Development in Information Retrieval, 2019,
pp. 645-654.https://dl.acm.org/doi/10.1145/3331184.3331222
2018
D. Karakos, J. Silovsky, R. Schwartz, W. Hartmann and J. Makhoul,
"Individual Ship Detection Using Underwater Acoustics," International
Conference on Acoustics, Speech, and Signal Processing, pp. 2121-2125,
September 2018.https://ieeexplore.ieee.org/document/8462193
F. Keith, W. Hartmann, M. Siu, J. Ma and O. Kimball, "Optimizing
Multilingual Knowledge Transfer for Time-Delay Neural Networks with
Low-Rank Factorization," International Conference on Acoustics, Speech,
and Signal Processing, pp. 4924-4928, September 2018.https://ieeexplore.ieee.org/document/8461798
B. Min, M. Freedman and R. Gabbard, "One Sense Per Document: Improve Name
Finding in the Wild with Document-wide Context," Proceedings First Workshop
on Knowledge Base Construction, Reasoning and Mining, November 2018.https://bnmin.github.io/index_files/KBCOM_2018_paper_6.pdf
L. Fu, B. Min, T. Nguyen and R. Grishman, "Case Study on Learning a Unified Encoder
of Relations," Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop
on Noisy User-generated Text, pp. 202-207, November 2018.https://aclanthology.org/W18-6126/
M. Sung, J. Silovsky, M. Siu, H. Gish, C. Pittapally, "Neural Network Conversion
of Machine Learning Pipelines", ICML 2018 AutoML Workshop.
B. Min, M. Freedman, R. Bock, and R. Weischedel, "When ACE met KBP:
End-to-End Evaluation of Knowledge Base Population with Component-level
Annotation," Proceedings of the 11th Conference on Language Resources
and Evaluation (LREC), 2018.https://aclanthology.org/L18-1031/
2017
H. Setiawan, Zhongqiang Huang, and Rabih Zbib, “BBN's Low-resource Machine
Translation for the LoReHLT 2016 Evaluation,” Machine Translation, 2017.https://doi.org/10.1007/s10590-017-9206-2
J. Zheng, Zhuolin Jiang, and R. Chellappa, “Submodular Attribute Selection for
Visual Recognition,” IEEE Transactions on Pattern Analysis and Machine
Intelligence, Vol. 39, No. 11, pp. 2242-2255, November 2017. https://dl.acm.org/doi/abs/10.1109/TPAMI.2016.2636827
R. Gabbard, J. DeYoung, C. Lignos, M. Freedman, and R. Weischedel, “Combining
Rule-based and Statistical Mechanisms for Low-resource Named Entity
Recognition,” Machine Translation, pp. 1-13, December 2017.https://dl.acm.org/doi/10.1007/s10590-017-9208-0
W. Hartmann, D. Karakos, R. Hsiao, L. Zhang, T. Alumäe, S. Tsakalidis, and
R. Schwartz, “Analysis of Keyword Spotting Performance Across IARPA Babel
Languages,” Proceedings of the 2017 IEEE International Conference on
Acoustics, Speech, and Signal Processing, ICASSP 2017, pp. 5765-5769,
March 2017.https://ieeexplore.ieee.org/abstract/document/7953261
W. Hartmann, R. Hsiao, and S. Tsakalidis, “Alternative Networks for Monolingual
Bottleneck Features,” Proceedings of the 2017 IEEE International Conference
on Acoustics, Speech, and Signal Processing, ICASSP 2017, pp. 5290-5294,
March, 2017.https://ieeexplore.ieee.org/abstract/document/7953261
Z. Jiang, V. Rozgic and S. Adali, “Learning Spatiotemporal Features for Infrared
Action Recognition with 3D Convolutional Neural Networks,” Proceedings of
the 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops,
CVPRW 2017, pp. 309-317, August 2017.https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8014778
Z. Jiang, Y. Wang, L. Davis, W. Andrews, and V. Rozgic, “Learning Discriminative
Features via Label Consistent Neural Network,” Proceedings of the 2017 IEEE
Workshop on Applications of Computer Vision (WACV), pp. 207-216, March 2017. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8014778
D. Karakos, W. Hartmann, R. Schwartz, J. Makhoul, S. Tsakalidis, E. Insanić, and
G. Shepard, “Applying Speech Technology to the Ship-type Classification
Problem,” Proceedings of the 2017 OCEANS MTS/IEEE, pp. 1-8, September 2017.https://ieeexplore.ieee.org/document/8232190
C. Van Heerden, D. Karakos, K. Narasimhan, M. Davel, and R. Schwartz, “Constructing
Sub-word Units for Spoken Term Detection,” Proceedings of the 2017 IEEE
International Conference on Acoustics, Speech, and Signal Processing, ICASSP
2017, pp. 5780-5784, March 2017.https://ieeexplore.ieee.org/document/7953264
S. Novotney, D. Karakos, J. Silovsky, and R. Schwartz, “BBN Technologies`
OpenSAD System,” IEEE Spoken Language Technology Workshop, SLT 2016,
pp. 8-12, February 2017.https://ieeexplore.ieee.org/document/7846238
T. Alumäe, D. Karakos, W. Hartmann, R. Hsiao, L. Zhang, L. Nguyen, S. Tsakalidis,
and R. Schwartz, “The 2016 BBN Georgian Telephone Speech Keyword Spotting
System,” Proceedings OF the 2017 IEEE International Conference on Acoustics,
Speech, and Signal Processing, ICASSP 2017, pp. 5755-5759, March 2017.https://ieeexplore.ieee.org/document/7953259
R. Hsiao, T. Ng and M. Siu, “Unsupervised Adaptation for Deep Neural Networks
Using Alternating Direction Method of Multipliers,” Proceedings OF the 2017
IEEE International Conference on Acoustics, Speech, and Signal Processing,
ICASSP 2017, pp. 5180-5184, March 2017.https://ieeexplore.ieee.org/abstract/document/7953144
2016
K. Barnes, M. Snover, M. Siu, and H. Gish, “Importance Sampling of Delta-AUC:
A Basis for Active Learning for Improved Keyword Search,” Proceedings of
the 2016 IEEE International Conference on Acoustics, Speech and Signal Processing,
ICASSP 2016, pp. 2244-2248, May 2016. https://ieeexplore.ieee.org/document/7472076
W. Hartmann, T. Ng, R. Hsiao, S. Tsakalidis, and R. Schwartz, “Two-Stage Data
Augmentation for Low-Resourced Speech Recognition,” Proceedings of the Annual
Conference of the International Speech Communication Association, INTERSPEECH,
2016, pp. 2378-2382, September 2016. https://www.isca-speech.org/archive/interspeech_2016/hartmann16b_interspeech.html
R. Hsiao, J. Ma, W. Hartmann, M. Karafiát, F. Grézl, L. Burget, I. Szöke, J. Ernocky,
S. Watanabe, Z. Chen, S. Mallidi, H. Hermansky, S. Tsakalidis and R. Schwartz,
“Robust Speech Recognition in Unknown Reverberant and Noisy Conditions,”
Automatic Speech Recognition and Understanding (ASRU), pp. 533-538, February 2016. https://ieeexplore.ieee.org/document/7404841
S. Novotney, K. Jett, and O. Kimball, “Incorporating User Feedback to Re-rank Keyword
Search Results,” Automatic Speech Recognition and Understanding (ASRU),
pp. 192-199, February 2016. https://ieeexplore.ieee.org/document/7404794
Y. Zhang, Z. Jiang, X. Chen, L. Davis, “Generating Discriminative Object Proposals
via Submodular Ranking,” Proceedings - 29th IEEE Conference on Computer Vision
and Pattern Recognition Workshops, CVPRW 2016, p 1168-1176, December 2016. https://ieeexplore.ieee.org/document/7789639
R. Hsiao, R. Meermeier, T. Ng, Z. Huang, M. Jordan, E. Kan, T. Alumäe, J. Silovsky,
W. Hartmann, F. Keith, O. Lang, M. Siu, and O. Kimball, “Sage: The New BBN
Speech Processing Platform,” Proceedings of the Annual Conference of the
International Speech Communication Association, INTERSPEECH, 2016,
pp. 3022-3026, September 2016. https://www.isca-speech.org/archive/interspeech_2016/hsiao16_interspeech.html
J. Zheng, Zhuolin Jiang, and R. Chellappa, “Cross-View Action Recognition via
Transferable Dictionary Learning,” IEEE Transactions on Image Processing,
Vol. 25, No. 6, pp. 2542-2556, June 2016. https://ieeexplore.ieee.org/document/7442887