Who cites «Optimizing Statistical Machine Translation for Text Simplification» · page 4
431 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- Finding Spoiler Bias in Tweets by Zero-shot Learning and Knowledge Distilling from Neural Text Simplification — 2021 · Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion
- Flesch-Kincaid is Not a Text Simplification Evaluation Metric — 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
- Focus Attention: Promoting Faithfulness and Diversity in Summarization — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Idiomatic Expression Paraphrasing without Strong Supervision — 2021 · arXiv:2112.08592
- Improving Human Text Simplification with Sentence Fusion — 2021 · Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15)
- Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs — 2021 · Proceedings of the 1st Workshop on Multilingual Representation Learning
- Investigating Text Simplification Evaluation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Neural semi-Markov CRF for Monolingual Word Alignment — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Neural-Driven Search-Based Paraphrase Generation — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing — 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)
- Paragraph-level Simplification of Medical Texts — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Rethinking Automatic Evaluation in Sentence Simplification — 2021 · arXiv:2104.07560
- SimpleNER Sentence Simplification System for GEM 2021 — 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
- Simplification automatique de textes biomédicaux en français: lorsque des données précises de petite taille aident (French Biomedical Text Simplification : When Small and Precise Helps ) — 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale
- Teaching a Massive Open Online Course on Natural Language Processing — 2021 · Proceedings of the Fifth Workshop on Teaching NLP
- Text Simplification by Tagging — 2021 · Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications
- The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification — 2021 · Computational Linguistics
- The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics — 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
- Unsupervised Text Style Transfer with Content Embeddings — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
- Vers la production automatique de sous-titres adaptés à l'affichage (Towards automatic adapted monolingual captioning) — 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale
- A Corpus for Automatic Readability Assessment and Text Simplification of German — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- A multi-lingual and cross-domain analysis of features for text simplification — 2020 · Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI)
- ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track
- AutoMeTS: The Autocomplete for Medical Text Simplification — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- Benchmarking Data-driven Automatic Text Simplification for German — 2020 · Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI)
- Break It Down: A Question Understanding Benchmark — 2020 · Transactions of the Association for Computational Linguistics
- CUT: Controllable Unsupervised Text Simplification — 2020 · arXiv:2012.01936
- CombiNMT: An Exploration into Neural Text Simplification Models — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- CompLex –- A New Corpus for Lexical Complexity Prediction from Likert Scale Data — 2020 · Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI)
- Context-Aware Automatic Text Simplification of Health Materials in Low-Resource Domains — 2020 · Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis
- Controllable Sentence Simplification — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Coreference-Based Text Simplification — 2020 · Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI)
- Data-Driven Sentence Simplification: Survey and Benchmark — 2020 · Computational Linguistics
- Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- FELIX: Flexible Text Editing Through Tagging and Insertion — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Fact-based Text Editing — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- French Biomedical Text Simplification: When Small and Precise Helps — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- GRUEN for Evaluating Linguistic Quality of Generated Text — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Is it simpler? An Evaluation of an Aligned Corpus of Standard-Simple Sentences — 2020 · Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI)
- Iterative Edit-Based Unsupervised Sentence Simplification — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Learning to Update Natural Language Comments Based on Code Changes — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Lost in Back-Translation: Emotion Preservation in Neural Machine Translation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- Multi-Word Lexical Simplification — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- Neural CRF Model for Sentence Alignment in Text Simplification — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- On the Helpfulness of Document Context to Sentence Simplification — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Plug and Play Autoencoders for Conditional Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- SEMA: Text Simplification Evaluation through Semantic Alignment — 2020 · Proceedings of the 6th Workshop on Natural Language Processing Techniques for Educational Applications
- SOME: Reference-less Sub-Metrics Optimized for Manual Evaluations of Grammatical Error Correction — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- Semantically Driven Sentence Fusion: Modeling and Evaluation — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders — 2020 · arXiv:2004.14693
- Seq2Edits: Sequence Transduction Using Span-level Edit Operations — 2020 · arXiv:2009.11136
- Simple-QE: Better Automatic Quality Estimation for Text Simplification — 2020 · arXiv:2012.12382
- 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)
- Text Embellishment using Attention Based Encoder-Decoder Model — 2019 · Proceedings of the 4th Workshop on Computational Creativity in Language Generation
- 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 Detailed Evaluation of Neural Sequence-to-Sequence Models for In-domain and Cross-domain Text Simplification — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
- 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 Assessment of Conceptual Text Complexity Using Knowledge Graphs — 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
- Data-Driven Text Simplification — 2018 · Proceedings of the 27th International Conference on Computational Linguistics: Tutorial Abstracts
- 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)