Elamur Research
☰
home / papers / Optimizing Statistical Machine Translation for… / cited by

Who cites «Optimizing Statistical Machine Translation for Text Simplification» · page 5

431 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Pages: 1 · 2 · 3 · 4 · 5

  1. Integrating Transformer and Paraphrase Rules for Sentence Simplification — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  2. Learning Simplifications for Specific Target Audiences — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  3. Lexical Substitution is Practical for Rare Word Simplification — 2018 · Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation
  4. Multi-Task Neural Models for Translating Between Styles Within and Across Languages — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  5. Par4Sim – Adaptive Paraphrasing for Text Simplification — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  6. Reference-less Quality Estimation of Text Simplification Systems — 2018 · Proceedings of the 1st Workshop on Automatic Text Adaptation (ATA)
  7. Semantic Structural Evaluation for Text Simplification — our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  8. Sentence Simplification with Memory-Augmented Neural Networks — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
  9. SimPA: A Sentence-Level Simplification Corpus for the Public Administration Domain — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
  10. Simple and Effective Text Simplification Using Semantic and Neural Methods — our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  11. Simplified Corpus with Core Vocabulary — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
  12. Simplifying Sentences with Sequence to Sequence Models — 2018 · arXiv:1805.05557
  13. Text Simplification from Professionally Produced Corpora — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
  14. A Constrained Sequence-to-Sequence Neural Model for Sentence Simplification — 2017 · arXiv:1704.02312
  15. A Semantic Relevance Based Neural Network for Text Summarization and Text Simplification — 2017 · arXiv:1710.02318
  16. Break it Down for Me: A Study in Automated Lyric Annotation — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  17. Building a Non-Trivial Paraphrase Corpus Using Multiple Machine Translation Systems — 2017 · Proceedings of ACL 2017, Student Research Workshop
  18. Evaluating prose style transfer with the Bible — our card · 2017 · arXiv:1711.04731 · Royal Society open science 5.10 (2018): 171920
  19. Exploring Neural Text Simplification Models — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  20. From Shakespeare to Twitter: What are Language Styles all about? — our card · 2017 · Proceedings of the Workshop on Stylistic Variation
  21. Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs — our card · 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  22. MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  23. Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
  24. Sentence Alignment Methods for Improving Text Simplification Systems — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  25. Sentence Simplification with Deep Reinforcement Learning — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  26. Split and Rephrase — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  27. Systematically Adapting Machine Translation for Grammatical Error Correction — 2017 · Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications
  28. A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  29. A Theme-Rewriting Approach for Generating Algebra Word Problems — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
  30. Sentential Paraphrasing as Black-Box Machine Translation — 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
  31. Unsupervised Sentence Simplification Using Deep Semantics — our card · 2016 · Proceedings of the 9th International Natural Language Generation conference

Pages: 1 · 2 · 3 · 4 · 5