--- title: "Natural language processing — papers, page 59" description: "Natural language processing: 2421 papers of the Elamur Research library · page 59 of 97 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/59/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/59/) [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 59 # 💬 Natural language processing 2421 papers · page 59 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/58/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [58](https://md.research.elamur.ai/free/en/shelves/nlp/page/58/) **59** [60](https://md.research.elamur.ai/free/en/shelves/nlp/page/60/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/60/) - [Simpler but More Accurate Semantic Dependency Parsing](https://md.research.elamur.ai/free/en/papers/dozat-2018-simpler-but-more-accurate-semantic/) — Timothy Dozat, Christopher D. Manning · 2018 - [Slot-Gated Modeling for Joint Slot Filling and Intent Prediction](https://md.research.elamur.ai/free/en/papers/goo-2018-slot-gated-modeling-joint-slot/) — Chih-Wen Goo, Guang Gao, Yun-Kai Hsu, et al. · 2018 - [Style Transfer Through Back-Translation](https://md.research.elamur.ai/free/en/papers/prabhumoye-2018-style-transfer-through-back-translation/) — Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, et al. · 2018 - [Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised](https://md.research.elamur.ai/free/en/papers/angelidis-2018-summarizing-opinions-aspect-extraction-meets/) — Stefanos Angelidis, Mirella Lapata · 2018 - [SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2018-switchout-efficient-data-augmentation-algorithm/) — Xinyi Wang, Hieu Pham, Zihang Dai, et al. · 2018 - [Tensor2Tensor for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/vaswani-2018-tensor2tensor-neural-machine-translation/) — Ashish Vaswani, Samy Bengio, Eugene Brevdo, et al. · 2018 - [The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants](https://md.research.elamur.ai/free/en/papers/habernal-2018-argument-reasoning-comprehension-task-identification/) — Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, et al. · 2018 - [The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/chen-2018-best-both-worlds-combining-recent/) — Mia Xu Chen, Orhan Firat, Ankur Bapna, et al. · 2018 - [The Fact Extraction and VERification (FEVER) Shared Task](https://md.research.elamur.ai/free/en/papers/thorne-2018-fact-extraction-verification-fever-shared/) — James Thorne, Andreas Vlachos, Oana Cocarascu, et al. · 2018 - [The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation](https://md.research.elamur.ai/free/en/papers/klie-2018-inception-platform-machine-assisted-knowledge/) — Jan-Christoph Klie, Michael Bugert, Beto Boullosa, et al. · 2018 - [THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM](https://md.research.elamur.ai/free/en/papers/wu-2018-thu-ngn-semeval-2018-task/) — Chuhan Wu, Fangzhao Wu, Junxin Liu, et al. · 2018 - [Tied Multitask Learning for Neural Speech Translation](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2018-tied-multitask-learning-neural-speech/) — Antonios Anastasopoulos, David Chiang · 2018 - [Towards Exploiting Background Knowledge for Building Conversation Systems](https://md.research.elamur.ai/free/en/papers/moghe-2018-exploiting-background-knowledge-building-conversation/) — Nikita Moghe, Siddhartha Arora, Suman Banerjee, et al. · 2018 - [Towards Robust and Privacy-preserving Text Representations](https://md.research.elamur.ai/free/en/papers/li-2018-robust-privacy-preserving-text-representations/) — Yitong Li, Timothy Baldwin, Trevor Cohn · 2018 - [Training Millions of Personalized Dialogue Agents](https://md.research.elamur.ai/free/en/papers/mazare-2018-training-millions-personalized-dialogue-agents/) — Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, et al. · 2018 - [Training Tips for the Transformer Model](https://md.research.elamur.ai/free/en/papers/popel-2018-training-tips-transformer-model/) — Martin Popel, Ondřej Bojar · 2018 - [Transformation Networks for Target-Oriented Sentiment Classification](https://md.research.elamur.ai/free/en/papers/li-2018-transformation-networks-target-oriented-sentiment/) — Xin Li, Lidong Bing, Wai Lam, et al. · 2018 - [TVQA: Localized, Compositional Video Question Answering](https://md.research.elamur.ai/free/en/papers/lei-2018-tvqa-localized-compositional-video-question/) — Jie Lei, Licheng Yu, Mohit Bansal, et al. · 2018 - [UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification](https://md.research.elamur.ai/free/en/papers/hanselowski-2018-ukp-athene-multi-sentence-textual/) — Andreas Hanselowski, Hao Zhang, Zile Li, et al. · 2018 - [Universal Neural Machine Translation for Extremely Low Resource Languages](https://md.research.elamur.ai/free/en/papers/gu-2018-universal-neural-machine-translation-extremely/) — Jiatao Gu, Hany Hassan, Jacob Devlin, et al. · 2018 - [Universal Sentence Encoder for English](https://md.research.elamur.ai/free/en/papers/cer-2018-universal-sentence-encoder-english/) — Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al. · 2018 - [Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach](https://md.research.elamur.ai/free/en/papers/xu-2018-unpaired-sentiment-sentiment-translation-cycled/) — Jingjing Xu, Xu Sun, Qi Zeng, et al. · 2018 - [Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features](https://md.research.elamur.ai/free/en/papers/pagliardini-2018-unsupervised-learning-sentence-embeddings-compositional/) — Matteo Pagliardini, Prakhar Gupta, Martin Jaggi · 2018 - [Unsupervised Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/artetxe-2018-unsupervised-statistical-machine-translation/) — Mikel Artetxe, Gorka Labaka, Eneko Agirre · 2018 - [What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties](https://md.research.elamur.ai/free/en/papers/conneau-2018-what-you-can-cram-into/) — Alexis Conneau, German Kruszewski, Guillaume Lample, et al. · 2018 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/58/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [58](https://md.research.elamur.ai/free/en/shelves/nlp/page/58/) **59** [60](https://md.research.elamur.ai/free/en/shelves/nlp/page/60/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/60/)