Markus Dreyer

According to our database, Markus Dreyer authored at least 34 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

NewsQs: Multi-Source Question Generation for the Inquiring Mind.

Alyssa Hwang, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba, Vittorio Castelli, Markus Dreyer, Mohit Bansal, Kathleen R. McKeown

CoRR, 2024

CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization.

Xiang Jiang, Markus Dreyer

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Unified Embeddings for Multimodal Retrieval via Frozen LLMs.

Ziyang Wang, Heba Elfardy, Markus Dreyer, Kevin Small, Mohit Bansal

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset.

Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

On Conditional and Compositional Language Model Differentiable Prompting.

Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Generating Summaries with Controllable Readability Levels.

Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Background Summarization of Event Timelines.

Adithya Pratapa, Kevin Small, Markus Dreyer

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction.

Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, Mohit Bansal

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Faithfulness-Aware Decoding Strategies for Abstractive Summarization.

David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization.

Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations.

Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Efficient Few-Shot Fine-Tuning for Opinion Summarization.

Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021

Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints.

Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi

CoRR, 2021

Transductive Learning for Abstractive News Summarization.

Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer

CoRR, 2021

Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters.

Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2019

Multi-Task Networks with Universe, Group, and Task Feature Learning.

Shiva Pentyala, Mengwen Liu, Markus Dreyer

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017

Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding.

Anjishnu Kumar, Arpit Gupta, Julian Chan, Sam Tucker, Björn Hoffmeister, Markus Dreyer

CoRR, 2017

Transfer Learning for Neural Semantic Parsing.

Xing Fan, Emilio Monti, Lambert Mathias, Markus Dreyer

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Zero-Shot Learning Across Heterogeneous Overlapping Domains.

Anjishnu Kumar, Pavankumar Reddy Muddireddy, Markus Dreyer, Björn Hoffmeister

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2016

LatticeRnn: Recurrent Neural Networks Over Lattices.

Faisal Ladhak, Ankur Gandhe, Markus Dreyer, Lambert Mathias, Ariya Rastrow, Björn Hoffmeister

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015

hyp: A Toolkit for Representing, Manipulating, and Optimizing Hypergraphs.

Markus Dreyer, Jonathan Graehl

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

APRO: All-Pairs Ranking Optimization for MT Tuning.

Markus Dreyer, Yuanzhe Dong

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2012

HyTER: Meaning-Equivalent Semantics for Translation Evaluation.

Markus Dreyer, Daniel Marcu

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

2011

A non-parametric Bayesian approach to inflectional morphology.

Jason Eisner, Markus Dreyer

Proceedings of the 2011 Symposium on Machine Learning in Speech and Language Processing, 2011

Hill climbing on speech lattices: A new rescoring framework.

Ariya Rastrow, Markus Dreyer, Abhinav Sethy, Sanjeev Khudanpur, Bhuvana Ramabhadran, Mark Dredze

Proceedings of the IEEE International Conference on Acoustics, 2011

Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model.

Markus Dreyer, Jason Eisner

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2009

HLTCOE Approaches to Knowledge Base Population at TAC 2009.

Paul McNamee, Mark Dredze, Adam Gerber, Nikesh Garera, Tim Finin, James Mayfield, Christine D. Piatko, Delip Rao, David Yarowsky, Markus Dreyer

Proceedings of the Second Text Analysis Conference, 2009

Graphical Models over Multiple Strings.

Markus Dreyer, Jason Eisner

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2008

Latent-Variable Modeling of String Transductions with Finite-State Methods.

Markus Dreyer, Jason Smith, Jason Eisner

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Machine Translation System Combination using ITG-based Alignments.

Damianos G. Karakos, Jason Eisner, Sanjeev Khudanpur, Markus Dreyer

Proceedings of the ACL 2008, 2008

2007

Comparing Reordering Constraints for SMT Using Efficient BLEU Oracle Computation.

Markus Dreyer, Keith B. Hall, Sanjeev Khudanpur

Proceedings of the NAACL-HLT 2007 / AMTA Workshop on Syntax and Structure in Statistical Translation, 2007

Exploiting prosody for PCFGs with latent annotations.

Markus Dreyer, Izhak Shafran

Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007

2006

Better Informed Training of Latent Syntactic Features.

Markus Dreyer, Jason Eisner

Proceedings of the EMNLP 2006, 2006

Vine Parsing and Minimum Risk Reranking for Speed and Precision.

Markus Dreyer, David A. Smith, Noah A. Smith

Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006