---
title: "Who cites Katja Filippova — 247 papers of our library"
description: "247 papers of the Elamur Research library cite the works of Katja Filippova, found in their bibliographies; the most cited first."
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---
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# Who cites Katja Filippova

284 citations of their works from 247 papers of our library (of the 141,840 whose bibliographies we read) · 37 with a page here, the most cited first · [← Katja Filippova](https://md.research.elamur.ai/free/en/authors/katja-filippova/)

1. **[Abstractive Sentence Summarization with Attentive Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/chopra-2016-abstractive-sentence-summarization-attentive-recurrent/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sumit Chopra, Michael Auli, Alexander M. Rush*2016 · 1,091 citations*
2. [**Optimizing Statistical Machine Translation for Text Simplification**Wei Xu, Courtney Napoles, Ellie Pavlick, et al.*2016 · 952 citations*](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/)
3. **[Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting](https://md.research.elamur.ai/free/en/papers/chen-2018-fast-abstractive-summarization-reinforce-selected/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yen-Chun Chen, Mohit Bansal*2018 · 822 citations*
4. **[Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies](https://md.research.elamur.ai/free/en/papers/grusky-2018-newsroom-dataset-1-3-million/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Max Grusky, Mor Naaman, Yoav Artzi*2018 · 785 citations*
5. **[Globally Normalized Transition-Based Neural Networks](https://md.research.elamur.ai/free/en/papers/andor-2016-globally-normalized-transition-based-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Daniel Andor, Chris Alberti, David Weiss, et al.*2016 · 679 citations*
6. **[Neural Text Summarization: A Critical Evaluation](https://md.research.elamur.ai/free/en/papers/kryscinski-2019-neural-text-summarization-critical-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.*2019 · 558 citations*
7. **[Sentence Compression by Deletion with LSTMs](https://md.research.elamur.ai/free/en/papers/filippova-2015-sentence-compression-deletion-lstms/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Katja Filippova, Enrique Alfonseca, Carlos A. Colmenares, et al.*2015 · 338 citations*
8. **[Controlling Output Length in Neural Encoder-Decoders](https://md.research.elamur.ai/free/en/papers/kikuchi-2016-controlling-output-length-neural-encoder/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuta Kikuchi, Graham Neubig, Ryohei Sasano, et al.*2016 · 323 citations*
9. **[Identifying beneficial task relations for multi-task learning in deep neural networks](https://md.research.elamur.ai/free/en/papers/bingel-2017-identifying-beneficial-task-relations-multi/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Joachim Bingel, Anders Søgaard*2017 · 306 citations*
10. **[Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement](https://md.research.elamur.ai/free/en/papers/he-2016-pairwise-word-interaction-modeling-deep/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hua He, Jimmy Lin*2016 · 295 citations*
11. **[Ranking Sentences for Extractive Summarization with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/narayan-2018-ranking-sentences-extractive-summarization-reinforcement/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Shashi Narayan, Shay B. Cohen, Mirella Lapata*2018 · 284 citations*
12. **[Multi-Reward Reinforced Summarization with Saliency and Entailment](https://md.research.elamur.ai/free/en/papers/pasunuru-2018-multi-reward-reinforced-summarization-saliency/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ramakanth Pasunuru, Mohit Bansal*2018 · 253 citations*
13. **[Neural Network-Based Abstract Generation for Opinions and Arguments](https://md.research.elamur.ai/free/en/papers/wang-2016-neural-network-based-abstract-generation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Lu Wang, Wang Ling*2016 · 200 citations*
14. [**Generative Representational Instruction Tuning arXiv:2402.09906**Niklas Muennighoff, Hongjin Su, Liang Wang, et al.*2024 · 165 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2024-generative-representational-instruction-tuning/)
15. **[Controllable Text Simplification with Explicit Paraphrasing](https://md.research.elamur.ai/free/en/papers/maddela-2021-controllable-text-simplification-explicit-paraphrasing/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mounica Maddela, Fernando Alva-Manchego, Wei Xu*2021 · 164 citations*
16. **[LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression](https://md.research.elamur.ai/free/en/papers/pan-2024-llmlingua-2-data-distillation-efficient/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, et al.*2024 · 159 citations*
17. **[Scoring Sentence Singletons and Pairs for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/lebanoff-2019-scoring-sentence-singletons-pairs-abstractive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, et al.*2019 · 157 citations*
18. **[Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/guerreiro-2023-looking-needle-haystack-comprehensive-study/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Nuno M. Guerreiro, Elena Voita, André Martins*2023 · 147 citations*
19. **[Collective Classification for Fine-grained Information Status](https://md.research.elamur.ai/free/en/papers/markert-2012-collective-classification-fine-grained-information/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Katja Markert, Yufang Hou, Michael Strube*2012 · 144 citations*
20. **[Task-aware Retrieval with Instructions](https://md.research.elamur.ai/free/en/papers/asai-2023-task-aware-retrieval-instructions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Akari Asai, Timo Schick, Patrick Lewis, et al.*2023 · 131 citations*
21. [**Nomic Embed: Training a Reproducible Long Context Text Embedder arXiv:2402.01613**Zach Nussbaum, John X. Morris, Brandon Duderstadt, et al.*2024 · 123 citations*](https://md.research.elamur.ai/free/en/papers/nussbaum-2024-nomic-embed-training-reproducible-long/)
22. [**Encode, Tag, Realize: High-Precision Text Editing arXiv:1909.01187**Eric Malmi, Sebastian Krause, Sascha Rothe, et al.*2019 · 118 citations*](https://md.research.elamur.ai/free/en/papers/malmi-2019-encode-tag-realize-high-precision/)
23. **[On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling](https://md.research.elamur.ai/free/en/papers/gerz-2018-relation-between-linguistic-typology-limitations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Daniela Gerz, Ivan Vulić, Edoardo Maria Ponti, et al.*2018 · 112 citations*
24. [**Broad Coverage Multilingual Deep Sentence Generation with a Stochastic Multi-Level Realizer**Bernd Bohnet, Leo Wanner, Simon Mille, et al.*2010 · 94 citations*](https://md.research.elamur.ai/free/en/papers/bohnet-2010-broad-coverage-multilingual-deep-sentence/)
25. **[Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction](https://md.research.elamur.ai/free/en/papers/gerz-2018-language-modeling-morphologically-rich-languages/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Daniela Gerz, Ivan Vulić, Edoardo Ponti, et al.*2018 · 82 citations*
26. **[Idiomatic Expression Identification using Semantic Compatibility](https://md.research.elamur.ai/free/en/papers/zeng-2021-idiomatic-expression-identification-semantic-compatibility/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ziheng Zeng, Suma Bhat*2021 · 75 citations*
27. [**Tree Linearization in English: Improving Language Model Based Approaches**Katja Filippova, Michael Strube*2009 · 57 citations*](https://md.research.elamur.ai/free/en/papers/filippova-2009-tree-linearization-english-improving-language/)
28. [**From Shakespeare to Twitter: What are Language Styles all about?**Wei Xu*2017 · 29 citations*](https://md.research.elamur.ai/free/en/papers/xu-2017-shakespeare-twitter-what-are-language/)
29. **[Incremental Fine-grained Information Status Classification Using Attention-based LSTMs](https://md.research.elamur.ai/free/en/papers/hou-2016-incremental-fine-grained-information-status/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yufang Hou*2016 · 26 citations*
30. [**Generating Non-Projective Word Order in Statistical Linearization**Bernd Bohnet, Anders Björkelund, Jonas Kuhn, et al.*2012 · 23 citations*](https://md.research.elamur.ai/free/en/papers/bohnet-2012-generating-non-projective-word-order/)
31. **[Does Commonsense help in detecting Sarcasm?](https://md.research.elamur.ai/free/en/papers/chowdhury-2021-does-commonsense-help-detecting-sarcasm/) [Workshop on Insights from Negative Results in NLP](https://md.research.elamur.ai/free/en/venues/insights/)**Somnath Basu Roy Chowdhury, Snigdha Chaturvedi*2021 · 17 citations*
32. [**Underspecifying and Predicting Voice for Surface Realisation Ranking**Sina Zarrieß, Aoife Cahill, Jonas Kuhn*2011 · 11 citations*](https://md.research.elamur.ai/free/en/papers/zarriess-2011-underspecifying-predicting-voice-surface-realisation/)
33. [**An Error Analysis Framework for Shallow Surface Realization**Anastasia Shimorina, Yannick Parmentier, Claire Gardent*2021 · 8 citations*](https://md.research.elamur.ai/free/en/papers/shimorina-2021-error-analysis-framework-shallow-surface/)
34. [**Head-First Linearization with Tree-Structured Representation**Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu, et al.*2019 · 8 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-head-first-linearization-tree-structured/)
35. **[Information Structure Prediction for Visual-world Referring Expressions](https://md.research.elamur.ai/free/en/papers/elsner-2014-information-structure-prediction-visual-world/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Micha Elsner, Hannah Rohde, Alasdair Clarke*2014 · 8 citations*
36. **[ZIP: Quantifying Which Words Matter in Zero-Shot Instructional Prompts](https://md.research.elamur.ai/free/en/papers/sadr-2026-zip-quantifying-which-words-matter/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.*2026*
37. **[Review and Performance Comparison of Deep Knowledge Tracing Models (深度知识追踪模型综述和性能比较)](https://md.research.elamur.ai/free/en/papers/wang-2022-performance-comparison-deep/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yu Wang (王宇), Mengxia Zhu (朱梦霞), Shanghui Yang (杨尚辉), et al.*2022*

210 more citing papers of our library have no page here yet.

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