--- title: "Natural language processing — papers, page 28" description: "Natural language processing: 1506 papers of the Elamur Research library · page 28 of 61 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/28/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/28/) [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 28 # 💬 Natural language processing 1506 papers · page 28 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. [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/27/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) [2](https://md.research.elamur.ai/free/en/shelves/nlp/page/2/) [3](https://md.research.elamur.ai/free/en/shelves/nlp/page/3/) [4](https://md.research.elamur.ai/free/en/shelves/nlp/page/4/) [5](https://md.research.elamur.ai/free/en/shelves/nlp/page/5/) [6](https://md.research.elamur.ai/free/en/shelves/nlp/page/6/) [7](https://md.research.elamur.ai/free/en/shelves/nlp/page/7/) [8](https://md.research.elamur.ai/free/en/shelves/nlp/page/8/) [9](https://md.research.elamur.ai/free/en/shelves/nlp/page/9/) [10](https://md.research.elamur.ai/free/en/shelves/nlp/page/10/) [11](https://md.research.elamur.ai/free/en/shelves/nlp/page/11/) [12](https://md.research.elamur.ai/free/en/shelves/nlp/page/12/) [13](https://md.research.elamur.ai/free/en/shelves/nlp/page/13/) [14](https://md.research.elamur.ai/free/en/shelves/nlp/page/14/) [15](https://md.research.elamur.ai/free/en/shelves/nlp/page/15/) [16](https://md.research.elamur.ai/free/en/shelves/nlp/page/16/) [17](https://md.research.elamur.ai/free/en/shelves/nlp/page/17/) [18](https://md.research.elamur.ai/free/en/shelves/nlp/page/18/) [19](https://md.research.elamur.ai/free/en/shelves/nlp/page/19/) [20](https://md.research.elamur.ai/free/en/shelves/nlp/page/20/) [21](https://md.research.elamur.ai/free/en/shelves/nlp/page/21/) [22](https://md.research.elamur.ai/free/en/shelves/nlp/page/22/) [23](https://md.research.elamur.ai/free/en/shelves/nlp/page/23/) [24](https://md.research.elamur.ai/free/en/shelves/nlp/page/24/) [25](https://md.research.elamur.ai/free/en/shelves/nlp/page/25/) [26](https://md.research.elamur.ai/free/en/shelves/nlp/page/26/) [27](https://md.research.elamur.ai/free/en/shelves/nlp/page/27/) **28** [29](https://md.research.elamur.ai/free/en/shelves/nlp/page/29/) [30](https://md.research.elamur.ai/free/en/shelves/nlp/page/30/) [31](https://md.research.elamur.ai/free/en/shelves/nlp/page/31/) [32](https://md.research.elamur.ai/free/en/shelves/nlp/page/32/) [33](https://md.research.elamur.ai/free/en/shelves/nlp/page/33/) [34](https://md.research.elamur.ai/free/en/shelves/nlp/page/34/) [35](https://md.research.elamur.ai/free/en/shelves/nlp/page/35/) [36](https://md.research.elamur.ai/free/en/shelves/nlp/page/36/) [37](https://md.research.elamur.ai/free/en/shelves/nlp/page/37/) [38](https://md.research.elamur.ai/free/en/shelves/nlp/page/38/) [39](https://md.research.elamur.ai/free/en/shelves/nlp/page/39/) [40](https://md.research.elamur.ai/free/en/shelves/nlp/page/40/) [41](https://md.research.elamur.ai/free/en/shelves/nlp/page/41/) [42](https://md.research.elamur.ai/free/en/shelves/nlp/page/42/) [43](https://md.research.elamur.ai/free/en/shelves/nlp/page/43/) [44](https://md.research.elamur.ai/free/en/shelves/nlp/page/44/) [45](https://md.research.elamur.ai/free/en/shelves/nlp/page/45/) [46](https://md.research.elamur.ai/free/en/shelves/nlp/page/46/) [47](https://md.research.elamur.ai/free/en/shelves/nlp/page/47/) [48](https://md.research.elamur.ai/free/en/shelves/nlp/page/48/) [49](https://md.research.elamur.ai/free/en/shelves/nlp/page/49/) [50](https://md.research.elamur.ai/free/en/shelves/nlp/page/50/) [51](https://md.research.elamur.ai/free/en/shelves/nlp/page/51/) [52](https://md.research.elamur.ai/free/en/shelves/nlp/page/52/) [53](https://md.research.elamur.ai/free/en/shelves/nlp/page/53/) [54](https://md.research.elamur.ai/free/en/shelves/nlp/page/54/) [55](https://md.research.elamur.ai/free/en/shelves/nlp/page/55/) [56](https://md.research.elamur.ai/free/en/shelves/nlp/page/56/) [57](https://md.research.elamur.ai/free/en/shelves/nlp/page/57/) [58](https://md.research.elamur.ai/free/en/shelves/nlp/page/58/) [59](https://md.research.elamur.ai/free/en/shelves/nlp/page/59/) [60](https://md.research.elamur.ai/free/en/shelves/nlp/page/60/) [61](https://md.research.elamur.ai/free/en/shelves/nlp/page/61/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/29/) - [Fast and Accurate Non-Projective Dependency Tree Linearization](https://md.research.elamur.ai/free/en/papers/yu-2020-fast-accurate-non-projective-dependency/) — Xiang Yu, Simon Tannert, Ngoc Thang Vu, et al. · 2020 - [FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/durmus-2020-feqa-question-answering-evaluation-framework/) — Esin Durmus, He He, Mona Diab · 2020 - [Fine-grained Information Status Classification Using Discourse Context-Aware BERT](https://md.research.elamur.ai/free/en/papers/hou-2020-fine-grained-information-status-classification/) — Yufang Hou · 2020 - [From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers](https://md.research.elamur.ai/free/en/papers/lauscher-2020-zero-hero-limitations-zero-shot/) — Anne Lauscher, Vinit Ravishankar, Ivan Vulić, et al. · 2020 - [Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus](https://md.research.elamur.ai/free/en/papers/bentivogli-2020-gender-danger-evaluating-speech-translation/) — Luisa Bentivogli, Beatrice Savoldi, Matteo Negri, et al. · 2020 - [German's Next Language Model](https://md.research.elamur.ai/free/en/papers/chan-2020-german-s-next-language-model/) — Branden Chan, Stefan Schweter, Timo Möller · 2020 - [HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification](https://md.research.elamur.ai/free/en/papers/jiang-2020-hover-dataset-many-hop-fact/) — Yichen Jiang, Shikha Bordia, Zheng Zhong, et al. · 2020 - [How Can We Know What Language Models Know?](https://md.research.elamur.ai/free/en/papers/jiang-2020-how-can-we-know-what/) — Zhengbao Jiang, Frank F. Xu, Jun Araki, et al. · 2020 - [How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence](https://md.research.elamur.ai/free/en/papers/zhong-2020-how-does-nlp-benefit-legal/) — Haoxi Zhong, Chaojun Xiao, Cunchao Tu, et al. · 2020 - [Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation](https://md.research.elamur.ai/free/en/papers/zhang-2020-improving-massively-multilingual-neural-machine/) — Biao Zhang, Philip Williams, Ivan Titov, et al. · 2020 - [Information-Theoretic Probing for Linguistic Structure](https://md.research.elamur.ai/free/en/papers/pimentel-2020-information-theoretic-probing-linguistic-structure/) — Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, et al. · 2020 - [Information-Theoretic Probing with Minimum Description Length](https://md.research.elamur.ai/free/en/papers/voita-2020-information-theoretic-probing-minimum-description/) — Elena Voita, Ivan Titov · 2020 - [Inquisitive Question Generation for High Level Text Comprehension](https://md.research.elamur.ai/free/en/papers/ko-2020-inquisitive-question-generation-high-level/) — Wei-Jen Ko, Te-yuan Chen, Yiyan Huang, et al. · 2020 - [Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?](https://md.research.elamur.ai/free/en/papers/pruksachatkun-2020-intermediate-task-transfer-learning-pretrained/) — Yada Pruksachatkun, Jason Phang, Haokun Liu, et al. · 2020 - [Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging](https://md.research.elamur.ai/free/en/papers/acl-2020-zalmout-joint-diacritization-lemmatization-normalization-fine/) — Nasser Zalmout, Nizar Habash · 2020 - [KoBE: Knowledge-Based Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/gekhman-2020-kobe-knowledge-based-machine-translation/) — Zorik Gekhman, Roee Aharoni, Genady Beryozkin, et al. · 2020 - [Language (Technology) is Power: A Critical Survey of “Bias” in NLP](https://md.research.elamur.ai/free/en/papers/blodgett-2020-language-technology-is-power-critical/) — Su Lin Blodgett, Solon Barocas, Hal Daumé III, et al. · 2020 - [Lemmatization and POS-tagging process by using joint learning approach. Experimental results on Classical Armenian, Old Georgian, and Syriac](https://md.research.elamur.ai/free/en/papers/aclbulk-2020-gorene-lemmatization-pos-tagging-process-joint/) — Chahan Vidal-Gorène, Bastien Kindt · 2020 - [MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-mad-x-adapter-based-framework/) — Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al. · 2020 - [Masked Language Model Scoring](https://md.research.elamur.ai/free/en/papers/salazar-2020-masked-language-model-scoring/) — Julian Salazar, Davis Liang, Toan Q. Nguyen, et al. · 2020 - [MAVEN: A Massive General Domain Event Detection Dataset](https://md.research.elamur.ai/free/en/papers/wang-2020-maven-massive-general-domain-event/) — Xiaozhi Wang, Ziqi Wang, Xu Han, et al. · 2020 - [Multi-Sentence Argument Linking](https://md.research.elamur.ai/free/en/papers/ebner-2020-multi-sentence-argument-linking/) — Seth Ebner, Patrick Xia, Ryan Culkin, et al. · 2020 - [Multilingual Universal Sentence Encoder for Semantic Retrieval](https://md.research.elamur.ai/free/en/papers/yang-2020-multilingual-universal-sentence-encoder-semantic/) — Yinfei Yang, Daniel Cer, Amin Ahmad, et al. · 2020 - [MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines](https://md.research.elamur.ai/free/en/papers/zang-2020-multiwoz-2-2-dialogue-dataset/) — Xiaoxue Zang, Abhinav Rastogi, Srinivas Sunkara, et al. · 2020 - [Nakdan: Professional Hebrew Diacritizer](https://md.research.elamur.ai/free/en/papers/aclbulk-2020-shmidman-nakdan-professional-hebrew-diacritizer/) — Avi Shmidman, Shaltiel Shmidman, Moshe Koppel, et al. · 2020 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/27/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) [2](https://md.research.elamur.ai/free/en/shelves/nlp/page/2/) [3](https://md.research.elamur.ai/free/en/shelves/nlp/page/3/) [4](https://md.research.elamur.ai/free/en/shelves/nlp/page/4/) [5](https://md.research.elamur.ai/free/en/shelves/nlp/page/5/) [6](https://md.research.elamur.ai/free/en/shelves/nlp/page/6/) [7](https://md.research.elamur.ai/free/en/shelves/nlp/page/7/) [8](https://md.research.elamur.ai/free/en/shelves/nlp/page/8/) [9](https://md.research.elamur.ai/free/en/shelves/nlp/page/9/) [10](https://md.research.elamur.ai/free/en/shelves/nlp/page/10/) [11](https://md.research.elamur.ai/free/en/shelves/nlp/page/11/) [12](https://md.research.elamur.ai/free/en/shelves/nlp/page/12/) [13](https://md.research.elamur.ai/free/en/shelves/nlp/page/13/) [14](https://md.research.elamur.ai/free/en/shelves/nlp/page/14/) [15](https://md.research.elamur.ai/free/en/shelves/nlp/page/15/) [16](https://md.research.elamur.ai/free/en/shelves/nlp/page/16/) [17](https://md.research.elamur.ai/free/en/shelves/nlp/page/17/) [18](https://md.research.elamur.ai/free/en/shelves/nlp/page/18/) [19](https://md.research.elamur.ai/free/en/shelves/nlp/page/19/) [20](https://md.research.elamur.ai/free/en/shelves/nlp/page/20/) [21](https://md.research.elamur.ai/free/en/shelves/nlp/page/21/) [22](https://md.research.elamur.ai/free/en/shelves/nlp/page/22/) [23](https://md.research.elamur.ai/free/en/shelves/nlp/page/23/) [24](https://md.research.elamur.ai/free/en/shelves/nlp/page/24/) [25](https://md.research.elamur.ai/free/en/shelves/nlp/page/25/) [26](https://md.research.elamur.ai/free/en/shelves/nlp/page/26/) [27](https://md.research.elamur.ai/free/en/shelves/nlp/page/27/) **28** [29](https://md.research.elamur.ai/free/en/shelves/nlp/page/29/) [30](https://md.research.elamur.ai/free/en/shelves/nlp/page/30/) [31](https://md.research.elamur.ai/free/en/shelves/nlp/page/31/) [32](https://md.research.elamur.ai/free/en/shelves/nlp/page/32/) [33](https://md.research.elamur.ai/free/en/shelves/nlp/page/33/) [34](https://md.research.elamur.ai/free/en/shelves/nlp/page/34/) [35](https://md.research.elamur.ai/free/en/shelves/nlp/page/35/) [36](https://md.research.elamur.ai/free/en/shelves/nlp/page/36/) [37](https://md.research.elamur.ai/free/en/shelves/nlp/page/37/) [38](https://md.research.elamur.ai/free/en/shelves/nlp/page/38/) [39](https://md.research.elamur.ai/free/en/shelves/nlp/page/39/) [40](https://md.research.elamur.ai/free/en/shelves/nlp/page/40/) [41](https://md.research.elamur.ai/free/en/shelves/nlp/page/41/) [42](https://md.research.elamur.ai/free/en/shelves/nlp/page/42/) [43](https://md.research.elamur.ai/free/en/shelves/nlp/page/43/) [44](https://md.research.elamur.ai/free/en/shelves/nlp/page/44/) [45](https://md.research.elamur.ai/free/en/shelves/nlp/page/45/) [46](https://md.research.elamur.ai/free/en/shelves/nlp/page/46/) [47](https://md.research.elamur.ai/free/en/shelves/nlp/page/47/) [48](https://md.research.elamur.ai/free/en/shelves/nlp/page/48/) [49](https://md.research.elamur.ai/free/en/shelves/nlp/page/49/) [50](https://md.research.elamur.ai/free/en/shelves/nlp/page/50/) [51](https://md.research.elamur.ai/free/en/shelves/nlp/page/51/) [52](https://md.research.elamur.ai/free/en/shelves/nlp/page/52/) [53](https://md.research.elamur.ai/free/en/shelves/nlp/page/53/) [54](https://md.research.elamur.ai/free/en/shelves/nlp/page/54/) [55](https://md.research.elamur.ai/free/en/shelves/nlp/page/55/) [56](https://md.research.elamur.ai/free/en/shelves/nlp/page/56/) [57](https://md.research.elamur.ai/free/en/shelves/nlp/page/57/) [58](https://md.research.elamur.ai/free/en/shelves/nlp/page/58/) [59](https://md.research.elamur.ai/free/en/shelves/nlp/page/59/) [60](https://md.research.elamur.ai/free/en/shelves/nlp/page/60/) [61](https://md.research.elamur.ai/free/en/shelves/nlp/page/61/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/29/)