Markus Dreyer

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 28

Top Topics

Language Understanding

Graph Representations

Document Summarization

Top Venues

Publications

Xiang Jiang, Markus Dreyer
CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization. NAACL-HLT (2024)
Alyssa Hwang, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba, Vittorio Castelli, Markus Dreyer, Mohit Bansal, Kathleen R. McKeown
NewsQs: Multi-Source Question Generation for the Inquiring Mind. CoRR (2024)
Ziyang Wang, Heba Elfardy, Markus Dreyer, Kevin Small, Mohit Bansal
Unified Embeddings for Multimodal Retrieval via Frozen LLMs. EACL (Findings) (2024)
Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer
REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset. ACL (1) (2024)
Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer
On Conditional and Compositional Language Model Differentiable Prompting. IJCAI (2023)
Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer
Generating Summaries with Controllable Readability Levels. CoRR (2023)
Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer
Generating Summaries with Controllable Readability Levels. EMNLP (2023)
Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization. EACL (Findings) (2023)
Adithya Pratapa, Kevin Small, Markus Dreyer
Background Summarization of Event Timelines. CoRR (2023)
David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal
Faithfulness-Aware Decoding Strategies for Abstractive Summarization. EACL (2023)
Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, Mohit Bansal
Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction. EACL (2023)
Adithya Pratapa, Kevin Small, Markus Dreyer
Background Summarization of Event Timelines. EMNLP (2023)
Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer
On Conditional and Compositional Language Model Differentiable Prompting. CoRR (2023)
David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal
Faithfulness-Aware Decoding Strategies for Abstractive Summarization. CoRR (2023)
Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer
Efficient Few-Shot Fine-Tuning for Opinion Summarization. NAACL-HLT (Findings) (2022)
Leonardo Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. NAACL-HLT (2022)
Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. CoRR (2022)
Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer
Efficient Few-Shot Fine-Tuning for Opinion Summarization. CoRR (2022)
Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints. CoRR (2021)
Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer
Transductive Learning for Abstractive News Summarization. CoRR (2021)
Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters. NAACL-HLT (2021)
Shiva Pentyala, Mengwen Liu, Markus Dreyer
Multi-Task Networks With Universe, Group, and Task Feature Learning. CoRR (2019)
Shiva Pentyala, Mengwen Liu, Markus Dreyer
Multi-Task Networks with Universe, Group, and Task Feature Learning. ACL (1) (2019)
Xing Fan, Emilio Monti, Lambert Mathias, Markus Dreyer
Transfer Learning for Neural Semantic Parsing. CoRR (2017)
Anjishnu Kumar, Pavankumar Reddy Muddireddy, Markus Dreyer, Björn Hoffmeister
Zero-Shot Learning Across Heterogeneous Overlapping Domains. INTERSPEECH (2017)
Xing Fan, Emilio Monti, Lambert Mathias, Markus Dreyer
Transfer Learning for Neural Semantic Parsing. Rep4NLP@ACL (2017)
Anjishnu Kumar, Arpit Gupta, Julian Chan, Sam Tucker, Björn Hoffmeister, Markus Dreyer
Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding. CoRR (2017)
Faisal Ladhak, Ankur Gandhe, Markus Dreyer, Lambert Mathias, Ariya Rastrow, Björn Hoffmeister
LatticeRnn: Recurrent Neural Networks Over Lattices. INTERSPEECH (2016)
Markus Dreyer, Jonathan Graehl
hyp: A Toolkit for Representing, Manipulating, and Optimizing Hypergraphs. HLT-NAACL (2015)
Markus Dreyer, Yuanzhe Dong
APRO: All-Pairs Ranking Optimization for MT Tuning. HLT-NAACL (2015)
Markus Dreyer, Daniel Marcu
HyTER: Meaning-Equivalent Semantics for Translation Evaluation. HLT-NAACL (2012)
Jason Eisner, Markus Dreyer
A non-parametric Bayesian approach to inflectional morphology. MLSLP (2011)
Ariya Rastrow, Markus Dreyer, Abhinav Sethy, Sanjeev Khudanpur, Bhuvana Ramabhadran, Mark Dredze
Hill climbing on speech lattices: A new rescoring framework. ICASSP (2011)
Markus Dreyer, Jason Eisner
Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model. EMNLP (2011)
Paul McNamee, Mark Dredze, Adam Gerber, Nikesh Garera, Tim Finin, James Mayfield, Christine D. Piatko, Delip Rao, David Yarowsky, Markus Dreyer
HLTCOE Approaches to Knowledge Base Population at TAC 2009. TAC (2009)
Markus Dreyer, Jason Eisner
Graphical Models over Multiple Strings. EMNLP (2009)
Markus Dreyer, Jason Smith, Jason Eisner
Latent-Variable Modeling of String Transductions with Finite-State Methods. EMNLP (2008)
Damianos G. Karakos, Jason Eisner, Sanjeev Khudanpur, Markus Dreyer
Machine Translation System Combination using ITG-based Alignments. ACL (2) (2008)
Markus Dreyer, Keith B. Hall, Sanjeev Khudanpur
Comparing Reordering Constraints for SMT Using Efficient BLEU Oracle Computation. SSST@HLT-NAACL (2007)
Markus Dreyer, Izhak Shafran
Exploiting prosody for PCFGs with latent annotations. INTERSPEECH (2007)
Markus Dreyer, Jason Eisner
Better Informed Training of Latent Syntactic Features. EMNLP (2006)
Markus Dreyer, David A. Smith, Noah A. Smith
Vine Parsing and Minimum Risk Reranking for Speed and Precision. CoNLL (2006)