--- title: "Natural language processing — papers, page 54" description: "Natural language processing: 2421 papers of the Elamur Research library · page 54 of 97 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/54/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/54/) [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 54 # 💬 Natural language processing 2421 papers · page 54 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/53/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [53](https://md.research.elamur.ai/free/en/shelves/nlp/page/53/) **54** [55](https://md.research.elamur.ai/free/en/shelves/nlp/page/55/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/55/) - [Bottom-Up Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/gehrmann-2018-bottom-up-abstractive-summarization/) — Sebastian Gehrmann, Yuntian Deng, Alexander Rush · 2018 - [CARER: Contextualized Affect Representations for Emotion Recognition](https://md.research.elamur.ai/free/en/papers/saravia-2018-carer-contextualized-affect-representations-emotion/) — Elvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, et al. · 2018 - [Chinese NER Using Lattice LSTM](https://md.research.elamur.ai/free/en/papers/zhang-2018-chinese-ner-lattice-lstm/) — Yue Zhang, Jie Yang · 2018 - [Classical Structured Prediction Losses for Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/edunov-2018-classical-structured-prediction-losses-sequence/) — Sergey Edunov, Myle Ott, Michael Auli, et al. · 2018 - [Colorless Green Recurrent Networks Dream Hierarchically](https://md.research.elamur.ai/free/en/papers/gulordava-2018-colorless-green-recurrent-networks-dream/) — Kristina Gulordava, Piotr Bojanowski, Edouard Grave, et al. · 2018 - [Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning](https://md.research.elamur.ai/free/en/papers/sharma-2018-conceptual-captions-cleaned-hypernymed-image/) — Piyush Sharma, Nan Ding, Sebastian Goodman, et al. · 2018 - [Constructing an Annotated Resource for Part-Of-Speech Tagging of Mishnaic Hebrew](https://md.research.elamur.ai/free/en/papers/aclbulk-2018-giovannetti-constructing-annotated-resource-part-speech/) — Emiliano Giovannetti, Davide Albanesi, Andrea Bellandi, et al. · 2018 - [Constructing Datasets for Multi-hop Reading Comprehension Across Documents](https://md.research.elamur.ai/free/en/papers/welbl-2018-constructing-datasets-multi-hop-reading/) — Johannes Welbl, Pontus Stenetorp, Sebastian Riedel · 2018 - [Construction of the Literature Graph in Semantic Scholar](https://md.research.elamur.ai/free/en/papers/ammar-2018-construction-literature-graph-semantic-scholar/) — Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, et al. · 2018 - [Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations](https://md.research.elamur.ai/free/en/papers/kobayashi-2018-contextual-augmentation-data-augmentation-words/) — Sosuke Kobayashi · 2018 - [Contextual String Embeddings for Sequence Labeling](https://md.research.elamur.ai/free/en/papers/akbik-2018-contextual-string-embeddings-sequence-labeling/) — Alan Akbik, Duncan Blythe, Roland Vollgraf · 2018 - [Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos](https://md.research.elamur.ai/free/en/papers/hazarika-2018-conversational-memory-network-emotion-recognition/) — Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, et al. · 2018 - [Conversations Gone Awry: Detecting Early Signs of Conversational Failure](https://md.research.elamur.ai/free/en/papers/zhang-2018-conversations-gone-awry-detecting-early/) — Justine Zhang, Jonathan Chang, Cristian Danescu-Niculescu-Mizil, et al. · 2018 - [Cross-topic Argument Mining from Heterogeneous Sources](https://md.research.elamur.ai/free/en/papers/stab-2018-cross-topic-argument-mining-heterogeneous/) — Christian Stab, Tristan Miller, Benjamin Schiller, et al. · 2018 - [Crowdsourcing Question-Answer Meaning Representations](https://md.research.elamur.ai/free/en/papers/michael-2018-crowdsourcing-question-answer-meaning-representations/) — Julian Michael, Gabriel Stanovsky, Luheng He, et al. · 2018 - [Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer](https://md.research.elamur.ai/free/en/papers/rao-2018-dear-sir-or-madam-may/) — Sudha Rao, Joel Tetreault · 2018 - [DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning](https://md.research.elamur.ai/free/en/papers/popat-2018-declare-debunking-fake-news-false/) — Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, et al. · 2018 - [Decoupling Strategy and Generation in Negotiation Dialogues](https://md.research.elamur.ai/free/en/papers/he-2018-decoupling-strategy-generation-negotiation-dialogues/) — He He, Derek Chen, Anusha Balakrishnan, et al. · 2018 - [Deep Communicating Agents for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/celikyilmaz-2018-deep-communicating-agents-abstractive-summarization/) — Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, et al. · 2018 - [Derivational Relations in Arabic WordNet](https://md.research.elamur.ai/free/en/papers/aclbulk-2018-batita-derivational-relations-arabic-wordnet/) — Mohamed Ali Batita, Mounir Zrigui · 2018 - [Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement](https://md.research.elamur.ai/free/en/papers/lee-2018-deterministic-non-autoregressive-neural-sequence/) — Jason Lee, Elman Mansimov, Kyunghyun Cho · 2018 - [Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change](https://md.research.elamur.ai/free/en/papers/schlechtweg-2018-diachronic-usage-relatedness-durel-framework/) — Dominik Schlechtweg, Sabine Schulte im Walde, Stefanie Eckmann · 2018 - [Diachronic word embeddings and semantic shifts: a survey](https://md.research.elamur.ai/free/en/papers/kutuzov-2018-diachronic-word-embeddings-semantic-shifts/) — Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, et al. · 2018 - [Discourse Annotation in the PDTB: The Next Generation](https://md.research.elamur.ai/free/en/papers/prasad-2018-discourse-annotation-pdtb-next-generation/) — Rashmi Prasad, Bonnie Webber, Alan Lee · 2018 - [Dissecting Contextual Word Embeddings: Architecture and Representation](https://md.research.elamur.ai/free/en/papers/peters-2018-dissecting-contextual-word-embeddings-architecture/) — Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al. · 2018 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/53/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [53](https://md.research.elamur.ai/free/en/shelves/nlp/page/53/) **54** [55](https://md.research.elamur.ai/free/en/shelves/nlp/page/55/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/55/)