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Kristina Toutanova
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- affiliation: Google Research, Seattle, USA
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2020 – today
- 2024
- [c74]Ada-Astrid Balauca, Danda Pani Paudel, Kristina Toutanova, Luc Van Gool:
Taming CLIP for Fine-Grained and Structured Visual Understanding of Museum Exhibits. ECCV (76) 2024: 377-394 - [c73]Anton Alexandrov, Veselin Raychev, Mark Mueller, Ce Zhang, Martin T. Vechev, Kristina Toutanova:
Mitigating Catastrophic Forgetting in Language Transfer via Model Merging. EMNLP (Findings) 2024: 17167-17186 - [c72]Wang Zhu, Alekh Agarwal, Mandar Joshi, Robin Jia, Jesse Thomason, Kristina Toutanova:
Efficient End-to-End Visual Document Understanding with Rationale Distillation. NAACL-HLT 2024: 8401-8424 - [i27]Anton Alexandrov, Veselin Raychev, Mark Niklas Müller, Ce Zhang, Martin T. Vechev, Kristina Toutanova:
Mitigating Catastrophic Forgetting in Language Transfer via Model Merging. CoRR abs/2407.08699 (2024) - [i26]Ada-Astrid Balauca, Danda Pani Paudel, Kristina Toutanova, Luc Van Gool:
Taming CLIP for Fine-grained and Structured Visual Understanding of Museum Exhibits. CoRR abs/2409.01690 (2024) - 2023
- [c71]Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. ACL (1) 2023: 14032-14047 - [c70]Hexiang Hu
, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang:
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. ICCV 2023: 12031-12041 - [c69]Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova:
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. ICML 2023: 18893-18912 - [c68]Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova:
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces. NeurIPS 2023 - [i25]Hexiang Hu
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. CoRR abs/2302.11154 (2023) - [i24]Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. CoRR abs/2305.11694 (2023) - [i23]Nelson F. Liu, Kenton Lee, Kristina Toutanova:
Anchor Prediction: Automatic Refinement of Internet Links. CoRR abs/2305.14337 (2023) - [i22]Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces. CoRR abs/2306.00245 (2023) - [i21]Wang Zhu, Alekh Agarwal, Mandar Joshi, Robin Jia, Jesse Thomason, Kristina Toutanova:
Efficient End-to-End Visual Document Understanding with Rationale Distillation. CoRR abs/2311.09612 (2023) - 2022
- [c67]David Wadden, Nikita Gupta, Kenton Lee, Kristina Toutanova:
Entity-Centric Query Refinement. AKBC 2022 - [c66]Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova:
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. EMNLP 2022: 9157-9179 - [c65]Linlu Qiu, Peter Shaw, Panupong Pasupat, Pawel Krzysztof Nowak, Tal Linzen, Fei Sha, Kristina Toutanova:
Improving Compositional Generalization with Latent Structure and Data Augmentation. NAACL-HLT 2022: 4341-4362 - [i20]David Wadden, Nikita Gupta, Kenton Lee, Kristina Toutanova:
Generating recommendations for entity-oriented exploratory search. CoRR abs/2204.00743 (2022) - [i19]Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova:
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. CoRR abs/2205.12253 (2022) - [i18]Kenton Lee, Mandar Joshi, Iulia Turc, Hexiang Hu, Fangyu Liu
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. CoRR abs/2210.03347 (2022) - 2021
- [j5]Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins:
Sparse, Dense, and Attentional Representations for Text Retrieval. Trans. Assoc. Comput. Linguistics 9: 329-345 (2021) - [c64]Peter Shaw, Ming-Wei Chang, Panupong Pasupat, Kristina Toutanova:
Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? ACL/IJCNLP (1) 2021: 922-938 - [c63]Vicky Zayats, Kristina Toutanova, Mari Ostendorf:
Representations for Question Answering from Documents with Tables and Text. EACL 2021: 2895-2906 - [c62]Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi:
Joint Passage Ranking for Diverse Multi-Answer Retrieval. EMNLP (1) 2021: 6997-7008 - [e2]Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tür, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty, Yichao Zhou:
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-46-6 [contents] - [i17]Vicky Zayats, Kristina Toutanova, Mari Ostendorf:
Representations for Question Answering from Documents with Tables and Text. CoRR abs/2101.10573 (2021) - [i16]Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi:
Joint Passage Ranking for Diverse Multi-Answer Retrieval. CoRR abs/2104.08445 (2021) - [i15]Iulia Turc, Kenton Lee, Jacob Eisenstein, Ming-Wei Chang, Kristina Toutanova:
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer. CoRR abs/2106.16171 (2021) - [i14]Linlu Qiu, Peter Shaw, Panupong Pasupat, Pawel Krzysztof Nowak, Tal Linzen, Fei Sha, Kristina Toutanova:
Improving Compositional Generalization with Latent Structure and Data Augmentation. CoRR abs/2112.07610 (2021) - 2020
- [c61]Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. ACL 2020: 5657-5667 - [i13]Mandar Joshi, Kenton Lee, Yi Luan, Kristina Toutanova:
Contextualized Representations Using Textual Encyclopedic Knowledge. CoRR abs/2004.12006 (2020) - [i12]Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins:
Sparse, Dense, and Attentional Representations for Text Retrieval. CoRR abs/2005.00181 (2020) - [i11]Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. CoRR abs/2005.01898 (2020) - [i10]Peter Shaw, Ming-Wei Chang, Panupong Pasupat, Kristina Toutanova:
Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? CoRR abs/2010.12725 (2020)
2010 – 2019
- 2019
- [j4]Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur P. Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, Slav Petrov:
Natural Questions: a Benchmark for Question Answering Research. Trans. Assoc. Comput. Linguistics 7: 452-466 (2019) - [c60]Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee:
Zero-Shot Entity Linking by Reading Entity Descriptions. ACL (1) 2019: 3449-3460 - [c59]Kenton Lee, Ming-Wei Chang, Kristina Toutanova:
Latent Retrieval for Weakly Supervised Open Domain Question Answering. ACL (1) 2019: 6086-6096 - [c58]Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova:
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. NAACL-HLT (1) 2019: 2924-2936 - [c57]Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. NAACL-HLT (1) 2019: 4171-4186 - [i9]Ming-Wei Chang, Kristina Toutanova, Kenton Lee, Jacob Devlin:
Language Model Pre-training for Hierarchical Document Representations. CoRR abs/1901.09128 (2019) - [i8]Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova:
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. CoRR abs/1905.10044 (2019) - [i7]Kenton Lee, Ming-Wei Chang, Kristina Toutanova:
Latent Retrieval for Weakly Supervised Open Domain Question Answering. CoRR abs/1906.00300 (2019) - [i6]Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee:
Zero-Shot Entity Linking by Reading Entity Descriptions. CoRR abs/1906.07348 (2019) - [i5]Iulia Turc, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation. CoRR abs/1908.08962 (2019) - 2018
- [i4]Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. CoRR abs/1810.04805 (2018) - [i3]Hao Cheng, Ming-Wei Chang, Kenton Lee, Ankur P. Parikh, Michael Collins, Kristina Toutanova:
Improving Span-based Question Answering Systems with Coarsely Labeled Data. CoRR abs/1811.02076 (2018) - 2017
- [j3]Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih:
Cross-Sentence N-ary Relation Extraction with Graph LSTMs. Trans. Assoc. Comput. Linguistics 5: 101-115 (2017) - [c56]Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih:
NLP for Precision Medicine. ACL (Tutorial Abstracts) 2017: 1-2 - [c55]Jianshu Ji, Qinlong Wang, Kristina Toutanova, Yongen Gong, Steven Truong, Jianfeng Gao:
A Nested Attention Neural Hybrid Model for Grammatical Error Correction. ACL (1) 2017: 753-762 - [i2]Jianshu Ji, Qinlong Wang, Kristina Toutanova, Yongen Gong, Steven Truong, Jianfeng Gao:
A Nested Attention Neural Hybrid Model for Grammatical Error Correction. CoRR abs/1707.02026 (2017) - [i1]Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, Wen-tau Yih:
Cross-Sentence N-ary Relation Extraction with Graph LSTMs. CoRR abs/1708.03743 (2017) - 2016
- [c54]Rebecca Mason, Benjamin Gaska, Benjamin Van Durme, Pallavi Choudhury, Ted Hart, Bill Dolan, Kristina Toutanova, Margaret Mitchell:
Microsummarization of Online Reviews: An Experimental Study. AAAI 2016: 3015-3021 - [c53]Kristina Toutanova, Xi Victoria Lin, Wen-tau Yih, Hoifung Poon, Chris Quirk:
Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text. ACL (1) 2016 - [c52]Kristina Toutanova, Chris Brockett
A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs. EMNLP 2016: 340-350 - [c51]Yuval Marton, Kristina Toutanova:
E-TIPSY: Search Query Corpus Annotated with Entities, Term Importance, POS Tags, and Syntactic Parses. LREC 2016 - 2015
- [j2]Sauleh Eetemadi
Survey of data-selection methods in statistical machine translation. Mach. Transl. 29(3-4): 189-223 (2015) - [c50]Kristina Toutanova, Danqi Chen:
Observed versus latent features for knowledge base and text inference. CVSC 2015: 57-66 - [c49]Kristina Toutanova, Waleed Ammar, Pallavi Choudhury, Hoifung Poon:
Model Selection for Type-Supervised Learning with Application to POS Tagging. CoNLL 2015: 332-337 - [c48]Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, Michael Gamon:
Representing Text for Joint Embedding of Text and Knowledge Bases. EMNLP 2015: 1499-1509 - [c47]Sauleh Eetemadi, Kristina Toutanova:
Detecting Translation Direction: A Cross-Domain Study. HLT-NAACL 2015: 103-109 - [c46]Ankur P. Parikh, Hoifung Poon, Kristina Toutanova:
Grounded Semantic Parsing for Complex Knowledge Extraction. HLT-NAACL 2015: 756-766 - [c45]Hoifung Poon, Kristina Toutanova, Chris Quirk:
Distant Supervision for Cancer Pathway Extraction from Text. Pacific Symposium on Biocomputing 2015: 120-131 - 2014
- [c44]Avneesh Saluja, Hany Hassan, Kristina Toutanova, Chris Quirk:
Graph-based Semi-Supervised Learning of Translation Models from Monolingual Data. ACL (1) 2014: 676-686 - [c43]Sauleh Eetemadi
Asymmetric Features Of Human Generated Translation. EMNLP 2014: 159-164 - 2013
- [c42]Kristina Toutanova, Byung-Gyu Ahn:
Learning Non-linear Features for Machine Translation Using Gradient Boosting Machines. ACL (2) 2013: 406-411 - [c41]Michel Galley, Chris Quirk, Colin Cherry, Kristina Toutanova:
Regularized Minimum Error Rate Training. EMNLP 2013: 1948-1959 - [c40]Hui Zhang, Kristina Toutanova, Chris Quirk, Jianfeng Gao:
Beyond Left-to-Right: Multiple Decomposition Structures for SMT. HLT-NAACL 2013: 12-21 - 2012
- [c39]Sungchul Kim, Kristina Toutanova, Hwanjo Yu:
Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia. ACL (1) 2012: 694-702 - [c38]Chris Quirk, Pallavi Choudhury, Jianfeng Gao, Hisami Suzuki, Kristina Toutanova, Michael Gamon, Wen-tau Yih, Colin Cherry, Lucy Vanderwende:
MSR SPLAT, a language analysis toolkit. HLT-NAACL 2012: 21-24 - 2011
- [c37]Kristina Toutanova, Michel Galley:
Why Initialization Matters for IBM Model 1: Multiple Optima and Non-Strict Convexity. ACL (2) 2011: 461-466 - [c36]Jason Naradowsky, Kristina Toutanova:
Unsupervised Bilingual Morpheme Segmentation and Alignment with Context-rich Hidden Semi-Markov Models. ACL 2011: 895-904 - [c35]Wen-tau Yih, Kristina Toutanova, John C. Platt, Christopher Meek:
Learning Discriminative Projections for Text Similarity Measures. CoNLL 2011: 247-256 - [c34]Jianfeng Gao, Kristina Toutanova, Wen-tau Yih:
Clickthrough-based latent semantic models for web search. SIGIR 2011: 675-684 - 2010
- [c33]Minwoo Jeong, Kristina Toutanova, Hisami Suzuki, Chris Quirk:
A Discriminative Lexicon Model for Complex Morphology. AMTA 2010 - [c32]John C. Platt, Kristina Toutanova, Wen-tau Yih:
Translingual Document Representations from Discriminative Projections. EMNLP 2010: 251-261 - [c31]Jason R. Smith, Chris Quirk, Kristina Toutanova:
Extracting Parallel Sentences from Comparable Corpora using Document Level Alignment. HLT-NAACL 2010: 403-411
2000 – 2009
- 2009
- [c30]Kristina Toutanova, Colin Cherry:
A global model for joint lemmatization and part-of-speech prediction. ACL/IJCNLP 2009: 486-494 - [c29]Xiaodong He, Kristina Toutanova:
Joint Optimization for Machine Translation System Combination. EMNLP 2009: 1202-1211 - [c28]Hoifung Poon, Colin Cherry, Kristina Toutanova:
Unsupervised Morphological Segmentation with Log-Linear Models. HLT-NAACL 2009: 209-217 - 2008
- [j1]Kristina Toutanova, Aria Haghighi, Christopher D. Manning
A Global Joint Model for Semantic Role Labeling. Comput. Linguistics 34(2): 161-191 (2008) - [c27]Kristina Toutanova, Hisami Suzuki, Achim Ruopp:
Applying Morphology Generation Models to Machine Translation. ACL 2008: 514-522 - [c26]Jia Xu, Jianfeng Gao, Kristina Toutanova, Hermann Ney:
Bayesian Semi-Supervised Chinese Word Segmentation for Statistical Machine Translation. COLING 2008: 1017-1024 - [e1]Alexander Clark, Kristina Toutanova:
Proceedings of the Twelfth Conference on Computational Natural Language Learning, CoNLL 2008, Manchester, UK, August 16-17, 2008. ACL 2008, ISBN 978-1-905593-48-4 [contents] - 2007
- [c25]Pi-Chuan Chang, Kristina Toutanova:
A Discriminative Syntactic Word Order Model for Machine Translation. ACL 2007 - [c24]Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina Toutanova:
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing. ACL 2007 - [c23]Einat Minkov, Kristina Toutanova, Hisami Suzuki:
Generating Complex Morphology for Machine Translation. ACL 2007 - [c22]Kristina Toutanova, Hisami Suzuki:
Generating Case Markers in Machine Translation. HLT-NAACL 2007: 49-56 - [c21]Kristina Toutanova, Mark Johnson:
A Bayesian LDA-based model for semi-supervised part-of-speech tagging. NIPS 2007: 1521-1528 - 2006
- [c20]Hisami Suzuki, Kristina Toutanova:
Learning to Predict Case Markers in Japanese. ACL 2006 - [c19]Kristina Toutanova:
Competitive generative models with structure learning for NLP classification tasks. EMNLP 2006: 576-584 - [c18]Wen-tau Yih, Kristina Toutanova:
Automatic Semantic Role Labeling. HLT-NAACL 2006 - [c17]Arul Menezes, Kristina Toutanova, Chris Quirk:
Microsoft Research Treelet Translation System: NAACL 2006 Europarl Evaluation. WMT@HLT-NAACL 2006: 158-161 - 2005
- [b1]Kristina Toutanova:
Effective statistical models for syntactic and semantic disambiguation. Stanford University, USA, 2005 - [c16]Kristina Toutanova, Aria Haghighi, Christopher D. Manning:
Joint Learning Improves Semantic Role Labeling. ACL 2005: 589-596 - [c15]Aria Haghighi, Kristina Toutanova, Christopher D. Manning:
A Joint Model for Semantic Role Labeling. CoNLL 2005: 173-176 - 2004
- [c14]Kristina Toutanova, Penka Markova, Christopher D. Manning:
The Leaf Path Projection View of Parse Trees: Exploring String Kernels for HPSG Parse Selection. EMNLP 2004: 166-173 - [c13]Kristina Toutanova, Christopher D. Manning, Andrew Y. Ng:
Learning random walk models for inducing word dependency distributions. ICML 2004 - 2003
- [c12]Kristina Toutanova, Mark Mitchell, Christopher D. Manning:
Optimizing Local Probability Models for Statistical Parsing. ECML 2003: 409-420 - [c11]Kristina Toutanova, Dan Klein, Christopher D. Manning, Yoram Singer:
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. HLT-NAACL 2003 - 2002
- [c10]Kristina Toutanova, Robert C. Moore:
Pronunciation Modeling for Improved Spelling Correction. ACL 2002: 144-151 - [c9]Stephan Oepen, Kristina Toutanova, Stuart M. Shieber, Christopher D. Manning, Dan Flickinger, Thorsten Brants:
The LinGO Redwoods Treebank: Motivation and Preliminary Applications. COLING 2002 - [c8]Kristina Toutanova, Christopher D. Manning:
Feature Selection for a Rich HPSG Grammar Using Decision Trees. CoNLL 2002 - [c7]Kristina Toutanova, H. Tolga Ilhan, Christopher D. Manning:
Extentions to HMM-based Statistical Word Alignment Models. EMNLP 2002: 87-94 - [c6]Pavlin Dobrev, Kristina Toutanova:
CGWorld - Architecture and Features. ICCS 2002: 261-270 - [c5]Dan Klein, Kristina Toutanova, H. Tolga Ilhan, Sepandar D. Kamvar, Christopher D. Manning:
Combining Heterogeneous Classifiers for Word Sense Disambiguation. SENSEVAL 2002: 74-80 - 2001
- [c4]Kristina Toutanova, Francine Chen, Kris Popat, Thomas Hofmann:
Text Classification in a Hierarchical Mixture Model for Small Training Sets. CIKM 2001: 105-112 - [c3]H. Tolga Ilhan, Sepandar D. Kamvar, Dan Klein, Christopher D. Manning, Kristina Toutanova:
Combining Heterogeneous Classifiers for Word-Sense Disambiguation. SENSEVAL@ACL 2001: 87-90
1990 – 1999
- 1999
- [c2]Svetlana Damianova, Kristina Toutanova:
Using Conceptual Graphs to Solve a Resource Allocation Task. ICCS 1999: 297-314 - 1997
- [c1]Galia Angelova, Svetlana Damianova, Kristina Toutanova, Kalina Bontcheva:
Menu-Based Interfaces to Conceptual Graphs: The CGLex Approach. ICCS 1997: 603-606
Coauthor Index
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