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1
Knowledge Distillation for Quality Estimation ...
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Knowledge Distillation for Quality Estimation ...
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3
Controllable Text Simplification with Explicit Paraphrasing ...
NAACL 2021 2021; Alva-Manchego, Fernando; Maddela, Mounica. - : Underline Science Inc., 2021
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4
The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification ...
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5
Knowledge distillation for quality estimation
Gajbhiye, Amit; Fomicheva, Marina; Alva-Manchego, Fernando. - : Association for Computational Linguistics, 2021
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6
deepQuest-py: large and distilled models for quality estimation
Alva-Manchego, Fernando; Obamuyide, Abiola; Gajbhiye, Amit. - : Association for Computational Linguistics, 2021
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7
IAPUCP at SemEval-2021 task 1: Stacking fine-tuned transformers is almost all you need for lexical complexity prediction
Rivas Rojas, Kervy; Alva-Manchego, Fernando. - : Association for Computational Linguistics, 2021
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8
The (un)suitability of automatic evaluation metrics for text simplification
Alva Manchego, Fernando; Scarton, Carolina; Specia, Lucia. - : Association for Computational Linguistics, 2021
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9
Controllable text simplification with explicit paraphrasing
Maddela, Mounica; Alva-Manchego, Fernando; Xu, Wei. - : Association for Computational Linguistics, 2021
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10
deepQuest-py: large and distilled models for quality estimation
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations ; 382 ; 389 (2021)
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11
Knowledge distillation for quality estimation
In: 5091 ; 5099 (2021)
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12
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
In: ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-02889823 ; ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Jul 2020, Seattle / Virtual, United States (2020)
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13
Controllable Text Simplification with Explicit Paraphrasing ...
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14
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations ...
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15
ASSET: A dataset for tuning and evaluation of sentence simplification models with multiple rewriting transformations
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16
Data-Driven Sentence Simplification: Survey and Benchmark
In: Computational Linguistics, Vol 46, Iss 1, Pp 135-187 (2020) (2020)
Abstract: Sentence Simplification (SS) aims to modify a sentence in order to make it easier to read and understand. In order to do so, several rewriting transformations can be performed such as replacement, reordering, and splitting. Executing these transformations while keeping sentences grammatical, preserving their main idea, and generating simpler output, is a challenging and still far from solved problem. In this article, we survey research on SS, focusing on approaches that attempt to learn how to simplify using corpora of aligned original-simplified sentence pairs in English, which is the dominant paradigm nowadays. We also include a benchmark of different approaches on common data sets so as to compare them and highlight their strengths and limitations. We expect that this survey will serve as a starting point for researchers interested in the task and help spark new ideas for future developments.
Keyword: Computational linguistics. Natural language processing; P98-98.5
URL: https://doi.org/10.1162/coli_a_00370
https://doaj.org/article/78e8b586e63a403bb8d3fb532c661043
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17
Automatic Sentence Simplification with Multiple Rewriting Transformations
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18
Distributed knowledge based clinical auto-coding system
Kaur, Rajvir (S33301). - : U.S., Association for Computational Linguistics, 2019
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19
Towards semi-supervised Brazilian Portuguese semantic role labeling: Building a benchmark
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