Katja Filippova
Katja Filippova has 4 papers in our library, in 2009–2020, most of them on Language models & pretraining, Interpretability, English; often with Enrique Alfonseca, Jasmijn Bastings, Lukasz Kaiser.
OpenAlex · ORCID · h-index 22 · 54 works · 1,855 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 284 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #2505
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 4 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 3Research subjects and languages the work is about.Interpretability · 1 workEnglish · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
2010s
2000s
Papers
- Sentence Compression by Deletion with LSTMs (2015 · 338 citations)
Most deletion-based sentence compressors depend on parsers, PoS taggers, or other linguistic preprocessing. - The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? (2020 · 219 citations)
This position paper asks why the NLP community keeps arguing over whether attention weights count as explanations, when an established family of tools already exists for the job attention is usually asked to do. - Overcoming the Lack of Parallel Data in Sentence Compression (2013 · 205 citations)
Supervised deletion-based sentence compression has long been limited by a lack of training data. Existing parallel corpora such as Ziff-Davis and the two Edinburgh sets hold only about a thousand pairs each, which makes rich or lexicalized features impractical. Filippova and Altun propose an automatic way to harvest… - Tree Linearization in English: Improving Language Model Based Approaches (2009 · 57 citations)
The paper compares two ways of turning a dependency tree into a word string in English. The standard method ("overgenerate and rank") makes all permutations allowed by a few hard constraints and picks the one a trigram language model prefers. The second method keeps the trigram model for the order inside phrases, and…
All works
- Sentence Compression by Deletion with LSTMsConference on Empirical Methods in Natural Language Processing (EMNLP)Katja Filippova, Enrique Alfonseca, Carlos A. Colmenares, et al.2015 · 338 citations
- The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPJasmijn Bastings, Katja Filippova2020 · 219 citations
- Overcoming the Lack of Parallel Data in Sentence CompressionConference on Empirical Methods in Natural Language Processing (EMNLP)Katja Filippova, Yasemin Altun2013 · 205 citations
- Generating Constituent Order in German Clauses ↗Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics · no summary yetKatja Filippova, Michael Strube2007 · 67 citations
- Tree Linearization in English: Improving Language Model Based ApproachesKatja Filippova, Michael StrubeEnglish · 57 citations
Co-authors here
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2015, EMNLP 2013
- BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP: BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2020
- Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2009
- Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics
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