--- title: "Natural language processing — papers, page 25" description: "Natural language processing: 2421 papers of the Elamur Research library · page 25 of 97 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/25/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/25/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Natural language processing](https://md.research.elamur.ai/free/en/shelves/nlp/) / page 25 # 💬 Natural language processing 2421 papers · page 25 of 97 · 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. [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/24/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [24](https://md.research.elamur.ai/free/en/shelves/nlp/page/24/) **25** [26](https://md.research.elamur.ai/free/en/shelves/nlp/page/26/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/26/) - [AraT5: Text-to-Text Transformers for Arabic Language Generation](https://md.research.elamur.ai/free/en/papers/nagoudi-2022-arat5-text-text-transformers-arabic/) — El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed · 2022 - [ASQA: Factoid Questions Meet Long-Form Answers](https://md.research.elamur.ai/free/en/papers/stelmakh-2022-asqa-factoid-questions-meet-long/) — Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, et al. · 2022 - [Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts](https://md.research.elamur.ai/free/en/papers/guo-2022-auto-debias-debiasing-masked-language/) — Yue Guo, Yi Yang, Ahmed Abbasi · 2022 - [BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla](https://md.research.elamur.ai/free/en/papers/bhattacharjee-2022-banglabert-language-model-pretraining-benchmarks/) — Abhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad, et al. · 2022 - [BBQ: A hand-built bias benchmark for question answering](https://md.research.elamur.ai/free/en/papers/parrish-2022-bbq-hand-built-bias-benchmark/) — Alicia Parrish, Angelica Chen, Nikita Nangia, et al. · 2022 - [Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/heffernan-2022-bitext-mining-distilled-sentence-representations/) — Kevin Heffernan, Onur Çelebi, Holger Schwenk · 2022 - [BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation](https://md.research.elamur.ai/free/en/papers/jiang-2022-blonde-automatic-evaluation-metric-document/) — Yuchen Jiang, Tianyu Liu, Shuming Ma, et al. · 2022 - [BRIO: Bringing Order to Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/liu-2022-brio-bringing-order-abstractive-summarization/) — Yixin Liu, Pengfei Liu, Dragomir Radev, et al. · 2022 - [Camelira: An Arabic Multi-Dialect Morphological Disambiguator](https://md.research.elamur.ai/free/en/papers/aclbulk-2022-obeid-camelira-arabic-multi-dialect-morphological/) — Ossama Obeid, Go Inoue, Nizar Habash · 2022 - [Can language models learn from explanations in context?](https://md.research.elamur.ai/free/en/papers/lampinen-2022-can-language-models-learn-explanations/) — Andrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al. · 2022 - [Challenges and Strategies in Cross-Cultural NLP](https://md.research.elamur.ai/free/en/papers/hershcovich-2022-challenges-strategies-cross-cultural-nlp/) — Daniel Hershcovich, Stella Frank, Heather Lent, et al. · 2022 - [ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning](https://md.research.elamur.ai/free/en/papers/masry-2022-chartqa-benchmark-question-answering-about/) — Ahmed Masry, Do Xuan Long, Jia Qing Tan, et al. · 2022 - [CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task](https://md.research.elamur.ai/free/en/papers/rei-2022-cometkiwi-ist-unbabel-2022-submission/) — Ricardo Rei, Marcos Treviso, Nuno M. Guerreiro, et al. · 2022 - [CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning](https://md.research.elamur.ai/free/en/papers/das-2022-container-few-shot-named-entity/) — Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca Passonneau, et al. · 2022 - [ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering](https://md.research.elamur.ai/free/en/papers/chen-2022-convfinqa-exploring-chain-numerical-reasoning/) — Zhiyu Chen, Shiyang Li, Charese Smiley, et al. · 2022 - [Cross-Dialect Social Media Dependency Parsing for Social Scientific Entity Attribute Analysis](https://md.research.elamur.ai/free/en/papers/eggleston-2022-cross-dialect-social-media-dependency/) — Chloe Eggleston, Brendan O'Connor · 2022 - [CTRLsum: Towards Generic Controllable Text Summarization](https://md.research.elamur.ai/free/en/papers/he-2022-ctrlsum-generic-controllable-text-summarization/) — Junxian He, Wojciech Kryscinski, Bryan McCann, et al. · 2022 - [Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models](https://md.research.elamur.ai/free/en/papers/iv-2022-cutting-down-prompts-parameters-simple/) — Robert Logan IV, Ivana Balazevic, Eric Wallace, et al. · 2022 - [Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations](https://md.research.elamur.ai/free/en/papers/davani-2022-dealing-disagreements-looking-beyond-majority/) — Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran · 2022 - [DEGREE: A Data-Efficient Generation-Based Event Extraction Model](https://md.research.elamur.ai/free/en/papers/hsu-2022-degree-data-efficient-generation-based/) — I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, et al. · 2022 - [Detection of Negative Campaign in Israeli Municipal Elections](https://md.research.elamur.ai/free/en/papers/aclbulk-2022-litvak-detection-negative-campaign-israeli-municipal/) — Marina Litvak, Natalia Vanetik, Sagiv Talker, et al. · 2022 - [DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/chuang-2022-diffcse-difference-based-contrastive-learning/) — Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, et al. · 2022 - [Do Prompt-Based Models Really Understand the Meaning of Their Prompts?](https://md.research.elamur.ai/free/en/papers/webson-2022-do-prompt-based-models-really/) — Albert Webson, Ellie Pavlick · 2022 - [DocAMR: Multi-Sentence AMR Representation and Evaluation](https://md.research.elamur.ai/free/en/papers/naseem-2022-docamr-multi-sentence-amr-representation/) — Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, et al. · 2022 - [Extracting Latent Steering Vectors from Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/subramani-2022-extracting-latent-steering-vectors-pretrained/) — Nishant Subramani, Nivedita Suresh, Matthew Peters · 2022 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/24/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [24](https://md.research.elamur.ai/free/en/shelves/nlp/page/24/) **25** [26](https://md.research.elamur.ai/free/en/shelves/nlp/page/26/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/26/)