Publications

Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer (2021). Transductive Learning for Abstractive News Summarization. CoRR.

Khalil Mrini, Can Liu, Markus Dreyer (2021). Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization. Proceedings of the Third Workshop on New Frontiers in Summarization at EMNLP.

Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer (2021). Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters. NAACL.

Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi (2021). Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints. CoRR.

Shiva Pentyala, Mengwen Liu, Markus Dreyer (2019). Multi-Task Networks with Universe, Group, and Task Feature Learning. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL).

Anjishnu Kumar, Arpit Gupta, Julian Chan, Sam Tucker, Bjorn Hoffmeister, Markus Dreyer, Stanislav Peshterliev, Ankur Gandhe, Denis Filiminov, Ariya Rastrow, Christian Monson, Agnika Kumar (2017). Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding. NIPS workshop on conversational AI.

Xing Fan, Emilio Monti, Lambert Mathias, Markus Dreyer (2017). Transfer Learning for Neural Semantic Parsing. Proceedings of the 2nd Workshop on Representation Learning for NLP at ACL.

Anjishnu Kumar, Pavankumar Reddy Muddireddy, Markus Dreyer, Björn Hoffmeister (2017). Zero-Shot Learning Across Heterogeneous Overlapping Domains. Proceedings of Interspeech.

Faisal Ladhak, Ankur Gandhe, Markus Dreyer, Lambert Mathias, Ariya Rastrow, Björn Hoffmeister (2016). LatticeRnn: Recurrent Neural Networks Over Lattices. Proceedings of Interspeech.

Markus Dreyer, Jonathan Graehl (2015). hyp: A Toolkit for Representing, Manipulating, and Optimizing Hypergraphs. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics (ACL): Demonstrations.

Markus Dreyer, Yuanzhe Dong (2015). APRO: All-Pairs Ranking Optimization for MT Tuning. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics (ACL): Human Language Technologies.

Markus Dreyer, Daniel Marcu (2012). HyTER: Meaning-Equivalent Semantics for Translation Evaluation. Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics (ACL): Human Language Technologies.

Markus Dreyer, Jason Eisner (2011). Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

Markus Dreyer (2011). A Non-Parametric Model for the Discovery of Inflectional Paradigms from Plain Text Using Graphical Models over Strings.

Ariya Rastrow, Markus Dreyer, Abhinav Sethy, Sanjeev Khudanpur, Bhuvana Ramabhadran, Mark Dredze (2011). Hill climbing on speech lattices: A new rescoring framework. Proceedings of ICASSP.

Markus Dreyer, Jason Eisner (2009). Graphical Models over Multiple Strings. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

Paul McNamee, Mark Dredze, Adam Gerber, Nikesh Garera, Tim Finin, James Mayfield, Christine Piatko, Delip Rao, David Yarowsky, Markus Dreyer (2009). HLTCOE Approaches to Knowledge Base Population at TAC 2009. Proceedings of the 2009 Text Analysis Conference.

Markus Dreyer, Jason R. Smith, Jason Eisner (2008). Latent-Variable Modeling of String Transductions with Finite-State Methods. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

Damianos Karakos, Jason Eisner, Sanjeev Khudanpur, Markus Dreyer (2008). Machine Translation System Combination using ITG-based Alignments. Proceedings of ACL-08: HLT, Short Papers.

Markus Dreyer, Keith Hall, Sanjeev Khudanpur (2007). Comparing Reordering Constraints for SMT Using Efficient BLEU Oracle Computation. Proceedings of SSST, NAACL-HLT 2007 / AMTA Workshop on Syntax and Structure in Statistical Translation.

M. Dreyer, I. Shafran (2007). Exploiting prosody for PCFGs with latent annotations. Proceedings of Interspeech.

Markus Dreyer, Jason Eisner (2006). Better Informed Training of Latent Syntactic Features. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).

Markus Dreyer, David A. Smith, Noah A. Smith (2006). Vine Parsing and Minimum Risk Reranking for Speed and Precision. Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X).

A. Burbank, M. Carpuat, S. Clark, M. Dreyer, P. Fox, D. Groves, K. Hall, M. Hearne, I. D Melamed, Y. Shen, Others (2005). Final report of the 2005 language engineering workshop on statistical machine translation by parsing. Johns Hopkins University.