Who cites «Optimizing Statistical Machine Translation for Text Simplification» · page 4
- Simplification de textes : un état de l''art (Text simplification (State of the art) This paper presents the state of the art on text simplification, in particular the two main types of approaches, namely rule-based approaches and statistical approaches (or data-driven)) — 2020 · Actes de la 6e conférence conjointe Journées d''Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 3 : Rencontre des Étudiants Chercheurs en Informatique pour le TAL
- SimplifyUR: Unsupervised Lexical Text Simplification for Urdu — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Text Simplification with Reinforcement Learning Using Supervised Rewards on Grammaticality, Meaning Preservation, and Simplicity — 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop
- Un corpus d'évaluation pour un système de simplification discursive (An Evaluation Corpus for Automatic Discourse Simplification) — 2020 · Actes de la 6e conférence conjointe Journées d''Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 2 : Traitement Automatique des Langues Naturelles
- Zero-Shot Crosslingual Sentence Simplification — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- Controllable Sentence Simplification: Employing Syntactic and Lexical Constraints — 2019 · arXiv:1910.04387
- Controllable Text Simplification with Lexical Constraint Loss — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
- Controlling Text Complexity in Neural Machine Translation — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Controlling the Reading Level of Machine Translation Output — 2019 · Proceedings of Machine Translation Summit XVII: Research Track
- DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- Discourse Level Factors for Sentence Deletion in Text Simplification — 2019 · arXiv:1911.10384
- EASSE: Easier Automatic Sentence Simplification Evaluation — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations
- EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Encode, Tag, Realize: High-Precision Text Editing — 2019 · arXiv:1909.01187
- Generating Summaries with Topic Templates and Structured Convolutional Decoders — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Large-Scale Hierarchical Alignment for Data-driven Text Rewriting — 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
- Leveraging Pre-trained Checkpoints for Sequence Generation Tasks — 2019 · arXiv:1907.12461
- Metaphors in Text Simplification: To change or not to change, that is the question — 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
- Negative Lexically Constrained Decoding for Paraphrase Generation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Neural Text Simplification in Low-Resource Conditions Using Weak Supervision — 2019 · Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation
- Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Neural Versus Non-Neural Text Simplification: A Case Study — 2019 · Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association
- Plain English Summarization of Contracts — 2019 · Proceedings of the Natural Legal Language Processing Workshop 2019
- Privacy-Aware Text Rewriting — 2019 · Proceedings of the 12th International Conference on Natural Language Generation
- Sentence Simplification for Semantic Role Labelling and Information Extraction — 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
- Transforming Complex Sentences into a Semantic Hierarchy — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Unsupervised Neural Text Simplification — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
- Automatic Metric Validation for Grammatical Error Correction — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- BLEU is Not Suitable for the Evaluation of Text Simplification — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Crowdsourced Corpus of Sentence Simplification with Core Vocabulary — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
- D-PAGE: Diverse Paraphrase Generation — 2018 · arXiv:1808.04364
- Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer — 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)
- Dynamic Multi-Level Multi-Task Learning for Sentence Simplification — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
- Improving Neural Text Simplification Model with Simplified Corpora — 2018 · arXiv:1810.04428
- Inherent Biases in Reference based Evaluation for Grammatical Error Correction and Text Simplification — 2018 · arXiv:1804.11254
- Inherent Biases in Reference-based Evaluation for Grammatical Error Correction — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Integrating Transformer and Paraphrase Rules for Sentence Simplification — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Learning Simplifications for Specific Target Audiences — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Multi-Task Neural Models for Translating Between Styles Within and Across Languages — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
- Par4Sim – Adaptive Paraphrasing for Text Simplification — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
- Reference-less Quality Estimation of Text Simplification Systems — 2018 · Proceedings of the 1st Workshop on Automatic Text Adaptation (ATA)
- 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)
- 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)
- 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)
- 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)
- Simplified Corpus with Core Vocabulary — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
- Simplifying Sentences with Sequence to Sequence Models — 2018 · arXiv:1805.05557
- Text Simplification from Professionally Produced Corpora — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
- A Constrained Sequence-to-Sequence Neural Model for Sentence Simplification — 2017 · arXiv:1704.02312
- A Semantic Relevance Based Neural Network for Text Summarization and Text Simplification — 2017 · arXiv:1710.02318
- Building a Non-Trivial Paraphrase Corpus Using Multiple Machine Translation Systems — 2017 · Proceedings of ACL 2017, Student Research Workshop
- Evaluating prose style transfer with the Bible — our card · 2017 · arXiv:1711.04731 · Royal Society open science 5.10 (2018): 171920
- Exploring Neural Text Simplification Models — 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- From Shakespeare to Twitter: What are Language Styles all about? — our card · 2017 · Proceedings of the Workshop on Stylistic Variation
- 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)
- 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)
- 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)
- Sentence Simplification with Deep Reinforcement Learning — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Split and Rephrase — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Systematically Adapting Machine Translation for Grammatical Error Correction — 2017 · Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications
- 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
- A Theme-Rewriting Approach for Generating Algebra Word Problems — 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- 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
- Unsupervised Sentence Simplification Using Deep Semantics — our card · 2016 · Proceedings of the 9th International Natural Language Generation conference
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