--- title: "Natural language processing — papers, page 60" description: "Natural language processing: 2421 papers of the Elamur Research library · page 60 of 97 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/60/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/60/) [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 60 # 💬 Natural language processing 2421 papers · page 60 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/59/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [59](https://md.research.elamur.ai/free/en/shelves/nlp/page/59/) **60** [61](https://md.research.elamur.ai/free/en/shelves/nlp/page/61/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/61/) - [When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?](https://md.research.elamur.ai/free/en/papers/qi-2018-when-why-are-pre-trained/) — Ye Qi, Devendra Sachan, Matthieu Felix, et al. · 2018 - [Zero-Shot Transfer Learning for Event Extraction](https://md.research.elamur.ai/free/en/papers/huang-2018-zero-shot-transfer-learning-event/) — Lifu Huang, Heng Ji, Kyunghyun Cho, et al. · 2018 - [A Continuously Growing Dataset of Sentential Paraphrases](https://md.research.elamur.ai/free/en/papers/lan-2017-continuously-growing-dataset-sentential-paraphrases/) — Wuwei Lan, Siyu Qiu, Hua He, et al. · 2017 - [A Convolutional Encoder Model for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gehring-2017-convolutional-encoder-model-neural-machine/) — Jonas Gehring, Michael Auli, David Grangier, et al. · 2017 - [A Neural Architecture for Dialectal Arabic Segmentation](https://md.research.elamur.ai/free/en/papers/aclbulk-2017-samih-neural-architecture-dialectal-arabic-segmentation/) — Younes Samih, Mohammed Attia, Mohamed Eldesouki, et al. · 2017 - [A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification](https://md.research.elamur.ai/free/en/papers/zhang-2017-sensitivity-analysis-practitioners-guide-convolutional/) — Ye Zhang, Byron Wallace · 2017 - [A Survey on Hate Speech Detection using Natural Language Processing](https://md.research.elamur.ai/free/en/papers/schmidt-2017-survey-hate-speech-detection-natural/) — Anna Schmidt, Michael Wiegand · 2017 - [A Text Normalisation System for Non-Standard English Words](https://md.research.elamur.ai/free/en/papers/flint-2017-text-normalisation-system-non-standard/) — Emma Flint, Elliot Ford, Olivia Thomas, et al. · 2017 - [A Two-Stage Parsing Method for Text-Level Discourse Analysis](https://md.research.elamur.ai/free/en/papers/wang-2017-two-stage-parsing-method-text/) — Yizhong Wang, Sujian Li, Houfeng Wang · 2017 - [Abstractive Document Summarization with a Graph-Based Attentional Neural Model](https://md.research.elamur.ai/free/en/papers/tan-2017-abstractive-document-summarization-graph-based/) — Jiwei Tan, Xiaojun Wan, Jianguo Xiao · 2017 - [Abusive Language Detection on Arabic Social Media](https://md.research.elamur.ai/free/en/papers/mubarak-2017-abusive-language-detection-arabic-social/) — Hamdy Mubarak, Kareem Darwish, Walid Magdy · 2017 - [Adversarial Learning for Neural Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2017-adversarial-learning-neural-dialogue-generation/) — Jiwei Li, Will Monroe, Tianlin Shi, et al. · 2017 - [Adversarial Multi-task Learning for Text Classification](https://md.research.elamur.ai/free/en/papers/liu-2017-adversarial-multi-task-learning-text/) — Pengfei Liu, Xipeng Qiu, Xuanjing Huang · 2017 - [Adversarial Training for Unsupervised Bilingual Lexicon Induction](https://md.research.elamur.ai/free/en/papers/zhang-2017-adversarial-training-unsupervised-bilingual-lexicon/) — Meng Zhang, Yang Liu, Huanbo Luan, et al. · 2017 - [Alto: Rapid Prototyping for Parsing and Translation](https://md.research.elamur.ai/free/en/papers/gontrum-2017-alto-rapid-prototyping-parsing-translation/) — Johannes Gontrum, Jonas Groschwitz, Alexander Koller, et al. · 2017 - [AMR-to-text Generation with Synchronous Node Replacement Grammar](https://md.research.elamur.ai/free/en/papers/song-2017-amr-text-generation-synchronous-node/) — Linfeng Song, Xiaochang Peng, Yue Zhang, et al. · 2017 - [An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/chu-2017-empirical-comparison-domain-adaptation-methods/) — Chenhui Chu, Raj Dabre, Sadao Kurohashi · 2017 - [Arabic Diacritization: Stats, Rules, and Hacks](https://md.research.elamur.ai/free/en/papers/aclbulk-2017-darwish-arabic-diacritization-stats-rules-hacks/) — Kareem Darwish, Hamdy Mubarak, Ahmed Abdelali · 2017 - [Argumentation Mining in User-Generated Web Discourse](https://md.research.elamur.ai/free/en/papers/habernal-2017-argumentation-mining-user-generated-web/) — Ivan Habernal, Iryna Gurevych · 2017 - [Beam Search Strategies for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/freitag-2017-beam-search-strategies-neural-machine/) — Markus Freitag, Yaser Al-Onaizan · 2017 - [Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation](https://md.research.elamur.ai/free/en/papers/kiritchenko-2017-best-worst-scaling-more-reliable/) — Svetlana Kiritchenko, Saif Mohammad · 2017 - [Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging](https://md.research.elamur.ai/free/en/papers/aclbulk-2017-sajjad-challenging-language-dependent-segmentation-arabic/) — Hassan Sajjad, Fahim Dalvi, Nadir Durrani, et al. · 2017 - [Comparing Rule-based and SMT-based Spelling Normalisation for English Historical Texts](https://md.research.elamur.ai/free/en/papers/schneider-2017-comparing-rule-based-smt-based/) — Gerold Schneider, Eva Pettersson, Michael Percillier · 2017 - [Computational Argumentation Quality Assessment in Natural Language](https://md.research.elamur.ai/free/en/papers/wachsmuth-2017-computational-argumentation-quality-assessment-natural/) — Henning Wachsmuth, Nona Naderi, Yufang Hou, et al. · 2017 - [Context-Dependent Sentiment Analysis in User-Generated Videos](https://md.research.elamur.ai/free/en/papers/poria-2017-context-dependent-sentiment-analysis-user/) — Soujanya Poria, Erik Cambria, Devamanyu Hazarika, et al. · 2017 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/59/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [59](https://md.research.elamur.ai/free/en/shelves/nlp/page/59/) **60** [61](https://md.research.elamur.ai/free/en/shelves/nlp/page/61/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/61/)