Who cites «Optimizing Statistical Machine Translation for Text Simplification» · page 2
- German Text Simplification: Finetuning Large Language Models with Semi-Synthetic Data — 2024 · Proceedings of the Fourth Workshop on Language Technology for Equality, Diversity, Inclusion
- Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement Learning — 2024 · arXiv:2401.15043
- Improving Minimum Bayes Risk Decoding with Multi-Prompt — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Label Confidence Weighted Learning for Target-level Sentence Simplification — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Language Resources in Spanish for Automatic Text Simplification across Domains — 2024 · arXiv:2409.20466
- Large Language Models for Biomedical Text Simplification: Promising But Not There Yet — 2024 · arXiv:2408.03871
- MCTS: A Multi-Reference Chinese Text Simplification Dataset — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Meta-Evaluation of Sentence Simplification Metrics — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- REFeREE: A REference-FREE Model-Based Metric for Text Simplification — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
- Replace, Paraphrase or Fine-tune? Evaluating Automatic Simplification for Medical Texts in Spanish — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Reproduction & Benchmarking of German Text Simplification Systems — 2024 · Proceedings of the Workshop on DeTermIt! Evaluating Text Difficulty in a Multilingual Context @ LREC-COLING 2024
- SENTA: Sentence Simplification System for Slovene — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- SIERA: An Evaluation Metric for Text Simplification using the Ranking Model and Data Augmentation by Edit Operations — 2024 · Proceedings of the 3rd Workshop on Tools and Resources for People with REAding DIfficulties (READI) @ LREC-COLING 2024
- SciGisPy: a Novel Metric for Biomedical Text Simplification via Gist Inference Score — 2024 · Proceedings of the Third Workshop on Text Simplification, Accessibility and Readability (TSAR 2024)
- Sequence-to-Sequence Spanish Pre-trained Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- SiTSE: Sinhala Text Simplification Dataset and Evaluation — 2024 · arXiv:2412.01293
- Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- Spivavtor: An Instruction Tuned Ukrainian Text Editing Model — 2024 · Proceedings of the Third Ukrainian Natural Language Processing Workshop (UNLP) @ LREC-COLING 2024
- Split and Rephrase with Large Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- TESS: Text-to-Text Self-Conditioned Simplex Diffusion — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- Task-Oriented Paraphrase Analytics — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Text Simplification via Adaptive Teaching — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- The SAMER Arabic Text Simplification Corpus — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Towards AI-supported Health Communication in Plain Language: Evaluating Intralingual Machine Translation of Medical Texts — 2024 · Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC-COLING 2024
- Towards Automatic Finnish Text Simplification — 2024 · Proceedings of the Workshop on DeTermIt! Evaluating Text Difficulty in a Multilingual Context @ LREC-COLING 2024
- Towards an On-device Agent for Text Rewriting — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
- Transfer Fine-tuning for Quality Estimation of Text Simplification — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed? — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- kNN-BOX: A Unified Framework for Nearest Neighbor Generation — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
- mEdIT: Multilingual Text Editing via Instruction Tuning — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- A Call for Standardization and Validation of Text Style Transfer Evaluation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- A New Dataset and Empirical Study for Sentence Simplification in Chinese — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- A User-Centered Evaluation of Spanish Text Simplification — 2023 · arXiv:2308.07556
- ARTIST: ARTificial Intelligence for Simplified Text — 2023 · arXiv:2308.13458
- Automatic text simplification of Russian texts using control tokens — 2023 · Proceedings of the 9th Workshop on Slavic Natural Language Processing 2023 (SlavicNLP 2023)
- BLESS: Benchmarking Large Language Models on Sentence Simplification — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- BoschAI @ PLABA 2023: Leveraging Edit Operations in End-to-End Neural Sentence Simplification — 2023 · arXiv:2311.01907
- Can Knowledge Graphs Simplify Text? — 2023 · arXiv:2308.06975
- Claim Optimization in Computational Argumentation — 2023 · Proceedings of the 16th International Natural Language Generation Conference
- CoEdIT: Text Editing by Task-Specific Instruction Tuning — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Comparing Generic and Expert Models for Genre-Specific Text Simplification — 2023 · Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability
- Constructing Pseudo-parallel Swedish Sentence Corpora for Automatic Text Simplification — 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
- Context and Literacy Aware Learnable Metric for Text Simplification — 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
- Context-Aware Document Simplification — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Controlling Pre-trained Language Models for Grade-Specific Text Simplification — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- DEplain: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Data Augmentation for Radiology Report Simplification — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
- Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions — 2023 · arXiv:2308.00425
- Document-Level Planning for Text Simplification — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
- Document-level Text Simplification with Coherence Evaluation — 2023 · Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability
- Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers — 2023 · arXiv:2309.08532
- Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models — 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
- Gauging the Gap Between Human and Machine Text Simplification Through Analytical Evaluation of Simplification Strategies and Errors — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
- LENS: A Learnable Evaluation Metric for Text Simplification — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Learning to Paraphrase Sentences to Different Complexity Levels — 2023 · Transactions of the Association for Computational Linguistics
- Leveraging Prefix Transfer for Multi-Intent Text Revision — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- MVP: Multi-task Supervised Pre-training for Natural Language Generation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts — 2023 · arXiv:2302.09155
- Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Metric-Based In-context Learning: A Case Study in Text Simplification — 2023 · Proceedings of the 16th International Natural Language Generation Conference
- Multilingual Simplification of Medical Texts — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
- Non-autoregressive Text Editing with Copy-aware Latent Alignments — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- On Operations in Automatic Text Simplification — 2023 · Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability
- Reducing Sequence Length by Predicting Edit Spans with Large Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Revisiting non-English Text Simplification: A Unified Multilingual Benchmark — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting — 2023 · arXiv:2305.15685 · AAAI 2024
- SIMSUM: Document-level Text Simplification via Simultaneous Summarization — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Sentence Simplification Using Paraphrase Corpus for Initialization — 2023 · arXiv:2305.19754
- SimpLex: a lexical text simplification architecture — 2023 · arXiv:2304.07002 · Neural Computing and Applications, 35(8):6265-6280, 2023
- Simplifying Administrative Texts for Italian L2 Readers with Controllable Transformers Models: A Data-driven Approach — 2023 · Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)
- Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Traditional Readability Formulas Compared for English — 2023 · arXiv:2301.02975
- Uniform Complexity for Text Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Using ChatGPT as a CAT tool in Easy Language translation — 2023 · Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability
- What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Zero-shot Faithful Factual Error Correction — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- huPWKP: A Hungarian Text Simplification Corpus — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
- (Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
- A Benchmark Dataset for Multi-Level Complexity-Controllable Machine Translation — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- An Investigation into the Effect of Control Tokens on Text Simplification — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
- Automatic Text Simplification of News Articles in the Context of Public Broadcasting — 2022 · arXiv:2212.13317
- Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- CoditT5: Pretraining for Source Code and Natural Language Editing — 2022 · arXiv:2208.05446
- Cognitive Simplification Operations Improve Text Simplification — 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)
- Complex Word Identification in Vietnamese: Towards Vietnamese Text Simplification — 2022 · Proceedings of the Workshop on Multilingual Information Access (MIA)
- Control Prefixes for Parameter-Efficient Text Generation — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
- Controllable Text Simplification with Deep Reinforcement Learning — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
- Divide-and-Conquer Text Simplification by Scalable Data Enhancement — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
- Explain to me like I am five -- Sentence Simplification Using Transformers — 2022 · arXiv:2212.04595
- Fine-tuned Language Models are Continual Learners — 2022 · arXiv:2205.12393
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