2021

  • 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
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  • 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
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  • 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/
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  • 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
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  • 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
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  • 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/
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  • 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
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  • 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
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  • 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
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  • 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.
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  • 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.
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  • 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
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  • 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.
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  • P. Lymperopoulos, H. Qiu, B. Min. "Concept Wikification for COVID-19." Presented at the Workshop on NLP for COVID-19 at EMNLP 2020.
    https://www.aclweb.org/anthology/2020.nlpcovid19-2.29
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  • W. Yao, Z. Dai, M. Ramaswamy, B. Min, and R. Huang. "Weakly Supervised Subevent Knowledge Acquisition." In proceedings of EMNLP 2020.
    https://www.aclweb.org/anthology/2020.emnlp-main.430
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  • J. Yao, H. Qiu, B. Min, and N. Xue. "Annotating Temporal Dependency Graphs via Crowdsourcing." In proceedings of EMNLP 2020.
    https://aclanthology.org/2020.emnlp-main.432
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  • 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
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  • 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/
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  • 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
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  • 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/
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  • 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/
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  • 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/
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  • 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
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  • 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/
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  • 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
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  • 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
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  • 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
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  • 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/
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  • M. Sung, J. Silovsky, M. Siu, H. Gish, C. Pittapally, "Neural Network Conversion of Machine Learning Pipelines", ICML 2018 AutoML Workshop.
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  • 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
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  • 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
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  • R. Meermeier and S. Colbath, “Applications of the BBN Sage Speech Processing Platform,” Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 2028-2029, August 2017.
    https://www.researchgate.net/publication/319292616_Applications_of_the_BBN_Sage_Speech_Processing_Platform
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  • 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
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  • 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
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  • 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
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  • W. Hartmann, R. Hsiao, T. Ng, J. Ma, F. Keith, and M. Siu, “Improved Single System Conversational Telephone Speech Recognition with VGG Bottleneck Features,” Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 112-116, August 2017.
    https://www.researchgate.net/publication/319185269_Improved_Single_System_Conversational_Telephone_Speech_Recognition_with_VGG_Bottleneck_Features
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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  • J. Ma, F. Keith, T. Ng, M. Siu, and O. Kimball, “Improving Deliverable Speech-to-text Systems with Multilingual Knowledge Transfer,” Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 127-131, August 2017.
    https://www.researchgate.net/publication/319185077_Improving_Deliverable_Speech-to-Text_Systems_with_Multilingual_Knowledge_Transfer
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  • 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
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  • W. Hartmann, L. Zhang, K. Barnes,  R. Hsiao, S. Tsakalidis, and R. Schwartz, “Comparison of Multiple System Combination Techniques for Keyword Spotting,”  Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2016, pp. 1913-1917, September 2016.
    https://www.researchgate.net/publication/221478399_Comparison_of_keyword_spotting_approaches_for_informal_continuous_speech
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  • 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
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  • D. Karakos, S. Novotney, L. Zhang and  R. Schwartz, “Model Adaptation and Active Learning in the BBN Speech Activity Detection System for the DARPA RATS Program,” Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2016, pp. 3678-3682, September 2016.
    https://www.researchgate.net/publication/307889393_Model_Adaptation_and_Active_Learning_in_the_BBN_Speech_Activity_Detection_System_for_the_DARPA_RATS_Program
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  • 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
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  • N. Kleynhans, W. Hartmann, D. Van Niekerk, C. Van Heerden, R. Schwartz, S. Tsakalidis,  and M. Davel, “Code-Switched English Pronunciation Modeling for Swahili Spoken Term Detection,” Proceedings of the 5th Workshop on Spoken Language Technologies for Under-Resourced Languages, SLTU 2016, pp. 128-135, May 2016.
    https://www.researchgate.net/publication/301827889_Code-switched_English_Pronunciation_Modeling_for_Swahili_Spoken_Term_Detection
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  • 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
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  • 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
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  • 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
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  • M. Roy and R. Kumar, “Informing Authoring Best Practices Through an Analysis of Pedagogical Content and Student Behavior,” Lecture Notes in Computer Science, LNCS, Vol. 9684, pp. 48-58, June 2016.
    https://www.researchgate.net/publication/303729711_Informing_Authoring_Best_Practices_Through_an_Analysis_of_Pedagogical_Content_and_Student_Behavior
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  • S. Novotney, R. Schwartz, and S. Khudanpur, “Getting More from Automatic Transcripts for Semi-supervised Language Modeling,”  Computer Speech and Language, Vol. 36, pp. 93-109, March 2016.
    https://www.sciencedirect.com/science/article/abs/pii/S0885230815000856
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  • T. Alumäe, S. Tsakalidis, R. Schwartz, “Improved Multilingual Training of Stacked Neural Network Acoustic Models for Low Resource Languages,” Proceedings of the Annual Conference of the International Speech Communication Association,  INTERSPEECH, pp. 3883-3887, 2016.
    https://www.researchgate.net/publication/309217536_Improved_Multilingual_Training_of_Stacked_Neural_Network_Acoustic_Models_for_Low_Resource_Languages
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  • 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