---
title: "Natural language processing — papers, page 22"
description: "Natural language processing: 1506 papers of the Elamur Research library · page 22 of 61 — our summary of each, its ideas, references and who cites it."
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# 💬 Natural language processing

1506 papers · page 22 of 61 · newest first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Computational linguistics from the ACL Anthology and arXiv: language models, information extraction, dialogue, evaluation.

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- [Acquiring a Formality-Informed Lexical Resource for Style Analysis](https://md.research.elamur.ai/free/en/papers/eder-2021-acquiring-formality-informed-lexical-resource/) — Elisabeth Eder, Ulrike Krieg-Holz, Udo Hahn · 2021
- [AdapterDrop: On the Efficiency of Adapters in Transformers](https://md.research.elamur.ai/free/en/papers/ruckle-2021-adapterdrop-efficiency-adapters-transformers/) — Andreas Rücklé, Gregor Geigle, Max Glockner, et al. · 2021
- [Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals](https://md.research.elamur.ai/free/en/papers/elazar-2021-amnesic-probing-behavioral-explanation-amnesic/) — Yanai Elazar, Shauli Ravfogel, Alon Jacovi, et al. · 2021
- [Annotating and Modeling Fine-grained Factuality in Summarization](https://md.research.elamur.ai/free/en/papers/goyal-2021-annotating-modeling-fine-grained-factuality/) — Tanya Goyal, Greg Durrett · 2021
- [Are Ellipses Important for Machine Translation?](https://md.research.elamur.ai/free/en/papers/cl-2021-khullar-are-ellipses-important-machine-translation/) — Payal Khullar · 2021
- [Aspect Sentiment Quad Prediction as Paraphrase Generation](https://md.research.elamur.ai/free/en/papers/zhang-2021-aspect-sentiment-quad-prediction-as/) — Wenxuan Zhang, Yang Deng, Xin Li, et al. · 2021
- [Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language](https://md.research.elamur.ai/free/en/papers/aclbulk-2021-wenger-automated-extraction-sentencing-decisions-court/) — Mohr Wenger, Tom Kalir, Noga Berger, et al. · 2021
- [CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/cao-2021-cliff-contrastive-learning-improving-faithfulness/) — Shuyang Cao, Lu Wang · 2021
- [CLIPScore: A Reference-free Evaluation Metric for Image Captioning](https://md.research.elamur.ai/free/en/papers/hessel-2021-clipscore-reference-free-evaluation-metric/) — Jack Hessel, Ari Holtzman, Maxwell Forbes, et al. · 2021
- [ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer](https://md.research.elamur.ai/free/en/papers/yan-2021-consert-contrastive-framework-self-supervised/) — Yuanmeng Yan, Rumei Li, Sirui Wang, et al. · 2021
- [Contrastive Learning for Many-to-many Multilingual Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/pan-2021-contrastive-learning-many-many-multilingual/) — Xiao Pan, Mingxuan Wang, Liwei Wu, et al. · 2021
- [Controllable Text Simplification with Explicit Paraphrasing](https://md.research.elamur.ai/free/en/papers/maddela-2021-controllable-text-simplification-explicit-paraphrasing/) — Mounica Maddela, Fernando Alva-Manchego, Wei Xu · 2021
- [Deciphering Undersegmented Ancient Scripts Using Phonetic Prior](https://md.research.elamur.ai/free/en/papers/tacl-2021-luo-deciphering-undersegmented-ancient-scripts-phonetic/) — Jiaming Luo, Frederik Hartmann, Enrico Santus, et al. · 2021
- [DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations](https://md.research.elamur.ai/free/en/papers/giorgi-2021-declutr-deep-contrastive-learning-unsupervised/) — John Giorgi, Osvald Nitski, Bo Wang, et al. · 2021
- [DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts](https://md.research.elamur.ai/free/en/papers/liu-2021-dexperts-decoding-time-controlled-text/) — Alisa Liu, Maarten Sap, Ximing Lu, et al. · 2021
- [DialogSum: A Real-Life Scenario Dialogue Summarization Dataset](https://md.research.elamur.ai/free/en/papers/chen-2021-dialogsum-real-life-scenario-dialogue/) — Yulong Chen, Yang Liu, Liang Chen, et al. · 2021
- [DocNLI: A Large-scale Dataset for Document-level Natural Language Inference](https://md.research.elamur.ai/free/en/papers/yin-2021-docnli-large-scale-dataset-document/) — Wenpeng Yin, Dragomir Radev, Caiming Xiong · 2021
- [Document-Level Event Argument Extraction by Conditional Generation](https://md.research.elamur.ai/free/en/papers/li-2021-document-level-event-argument-extraction/) — Sha Li, Heng Ji, Jiawei Han · 2021
- [Domain-Aware Dependency Parsing for Questions](https://md.research.elamur.ai/free/en/papers/garimella-2021-domain-aware-dependency-parsing-questions/) — Aparna Garimella, Laura Chiticariu, Yunyao Li · 2021
- [Efficient Attentions for Long Document Summarization](https://md.research.elamur.ai/free/en/papers/huang-2021-efficient-attentions-long-document-summarization/) — Luyang Huang, Shuyang Cao, Nikolaus Parulian, et al. · 2021
- [Ellipsis Resolution as Question Answering: An Evaluation](https://md.research.elamur.ai/free/en/papers/eacl-2021-aralikatte-ellipsis-resolution-as-question-answering/) — Rahul Aralikatte, Matthew Lamm, Daniel Hardt, et al. · 2021
- [English Machine Reading Comprehension Datasets: A Survey](https://md.research.elamur.ai/free/en/papers/dzendzik-2021-english-machine-reading-comprehension-datasets/) — Daria Dzendzik, Jennifer Foster, Carl Vogel · 2021
- [ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation](https://md.research.elamur.ai/free/en/papers/sun-2021-ernie-3-0-large/) — Yu Sun, Shuohuan Wang, Shikun Feng, et al. · 2021
- [Evaluating Text Generation from Discourse Representation Structures](https://md.research.elamur.ai/free/en/papers/wang-2021-evaluating-text-generation-discourse-representation/) — Chunliu Wang, Rik van Noord, Arianna Bisazza, et al. · 2021
- [Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer](https://md.research.elamur.ai/free/en/papers/briakou-2021-evaluating-evaluation-metrics-style-transfer/) — Eleftheria Briakou, Sweta Agrawal, Joel Tetreault, et al. · 2021

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