---
title: "Karen Livescu — all works — Elamur Research"
description: "All 31 works of Karen Livescu in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/karen-livescu/works/"
---
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# Karen Livescu — all works

31 works · [← Karen Livescu](https://md.research.elamur.ai/free/en/authors/karen-livescu/)

1. **[Multi-view clustering via canonical correlation analysis ↗](https://doi.org/10.1145/1553374.1553391) International Conference on Machine Learning · no summary yet**Kamalika Chaudhuri et al.*2009 · 791 citations*
2. **[Tailoring Continuous Word Representations for Dependency Parsing](https://md.research.elamur.ai/free/en/papers/bansal-2014-tailoring-continuous-word-representations-dependency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mohit Bansal, Kevin Gimpel, Karen Livescu*2014 · 419 citations*
3. **[From Paraphrase Database to Compositional Paraphrase Model and Back](https://md.research.elamur.ai/free/en/papers/wieting-2015-paraphrase-database-compositional-paraphrase-model/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**John Wieting, Mohit Bansal, Kevin Gimpel, et al.*2015 · 379 citations*
4. [**Towards Universal Paraphrastic Sentence Embeddings arXiv:1511.08198**John Wieting, Mohit Bansal, Kevin Gimpel, et al.*2015 · 276 citations*](https://md.research.elamur.ai/free/en/papers/wieting-2015-towards-universal-paraphrastic-sentence-embeddings/)
5. **[Charagram: Embedding Words and Sentences via Character n-grams](https://md.research.elamur.ai/free/en/papers/wieting-2016-charagram-embedding-words-sentences-character/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**John Wieting, Mohit Bansal, Kevin Gimpel, et al.*2016 · 242 citations*
6. **[Deep Multilingual Correlation for Improved Word Embeddings ↗](https://aclanthology.org/N15-1028/) Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Ang Lu et al.*2015 · 170 citations*
7. **[Visually Grounded Neural Syntax Acquisition ↗](https://aclanthology.org/P19-1180/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Haoyue Shi et al.*2019 · 100 citations*
8. **[Open-Domain Sign Language Translation Learned from Online Video ↗](https://aclanthology.org/2022.emnlp-main.427/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Bowen Shi et al.*2022 · 95 citations*
9. **[Visual speech recognition with loosely synchronized feature streams ↗](https://doi.org/10.1109/iccv.2005.251) no summary yet**Kate Saenko et al.*2005 · 95 citations*
10. **[Pre-training on high-resource speech recognition improves low-resource speech-to-text translation](https://md.research.elamur.ai/free/en/papers/bansal-2019-pre-training-high-resource-speech/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sameer Bansal, Herman Kamper, Karen Livescu, et al.*2019 · 91 citations*
11. **[Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks](https://md.research.elamur.ai/free/en/papers/toshniwal-2020-learning-ignore-long-document-coreference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, et al.*2020 · 80 citations*
12. **[Discriminative acoustic word embeddings: Tecurrent neural network-based approaches ↗](https://doi.org/10.1109/slt.2016.7846310) IEEE Spoken Language Technology Workshop (SLT) · no summary yet**Shane Settle, Karen Livescu*2016 · 73 citations*
13. [**On Generalization in Coreference Resolution**Shubham Toshniwal, Patrick Xia, Sam Wiseman, et al.*English · 62 citations*](https://md.research.elamur.ai/free/en/papers/toshniwal-2021-generalization-coreference-resolution/)
14. **[Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information ↗](https://aclanthology.org/N18-1007/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yet**Trang Tran et al.*2018 · 62 citations*
15. **[Pre-Trained Text Embeddings for Enhanced Text-to-Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2019-3177) Interspeech (USB) · no summary yet**Tomoki Hayashi et al.*2019 · 59 citations*
16. **[What Do Self-Supervised Speech Models Know About Words?](https://md.research.elamur.ai/free/en/papers/pasad-2024-what-do-self-supervised-speech/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ankita Pasad, Chung-Ming Chien, Shane Settle, et al.*2024 · 51 citations*
17. **[Multistream Articulatory Feature-Based Models for Visual Speech Recognition ↗](https://doi.org/10.1109/tpami.2008.303) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Kate Saenko et al.*2008 · 29 citations*
18. [**Domain Adaptation with Unlabeled Data for Dialog Act Tagging Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language Processing**Anna Margolis, Karen Livescu, Mari Ostendorf*2010 · 24 citations*](https://md.research.elamur.ai/free/en/papers/margolis-2010-domain-adaptation-unlabeled-data-dialog/)
19. **[Production Domain Modeling of Pronunciation for Visual Speech Recognition ↗](https://doi.org/10.1109/icassp.2005.1416343) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Kate Saenko et al.*2005 · 24 citations*
20. **[Toward Joint Language Modeling for Speech Units and Text ↗](https://aclanthology.org/2023.findings-emnlp.438/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Ju-Chieh Chou et al.*2023 · 23 citations*
21. **[Mapping Unseen Words to Task-Trained Embedding Spaces ↗](https://aclanthology.org/W16-1612/) Proceedings of the 1st Workshop on Representation Learning for NLP · no summary yet**Pranava Swaroop Madhyastha et al.*2016 · 17 citations*
22. **[ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets ↗](https://doi.org/10.21437/interspeech.2024-2248) Interspeech (USB) · no summary yet**Jiatong Shi et al.*2024 · 13 citations*
23. **[Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing. ↗](https://arxiv.org/abs/1704.07287) arXiv (Cornell University) · no summary yet**Trang Tran et al.*2017 · 12 citations*
24. **[Audio-Visual Neural Syntax Acquisition ↗](https://doi.org/10.1109/asru57964.2023.10389619) IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) · no summary yet**Cheng-I Lai et al.*2023 · 5 citations*
25. **[The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties ↗](https://doi.org/10.21437/interspeech.2025-1013) Interspeech (USB) · no summary yet**William C. Chen et al.*2025 · 4 citations*
26. **[Constructing Datasets From Public Police Body Camera Footage ↗](https://doi.org/10.1109/icassp49660.2025.10888621) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Jamie Rosas-Smith et al.*2025 · 2 citations*
27. **[Transcribe, Translate, or Transliterate: An Investigation of Intermediate Representations in Spoken Language Models ↗](https://doi.org/10.1109/asru65441.2025.11434765) IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) · no summary yet**Tolúlọpe Ògúnremí et al.*2025 · 1 citation*
28. **[CMU's IWSLT 2024 Offline Speech Translation System: A Cascaded Approach For Long-Form Robustness ↗](https://aclanthology.org/2024.iwslt-1.22/) Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024) · no summary yet**Brian Yan et al.*2024 · 1 citation*
29. **[Cross-Modal Taxonomic Generalization in (Vision-) Language Models ↗](https://aclanthology.org/2026.acl-long.742/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Tianyang Xu et al.*2026*
30. **[CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition ↗](https://arxiv.org/abs/2502.01777) arXiv (Cornell University) · no summary yet**Martijn Bartelds et al.*2025*
31. **[Models for Visual Speech Recognition ↗](https://openalex.org/W7098163960) no summary yet**Kate Saenko et al.*2016*