--- title: "Natural language processing — papers, page 57" description: "Natural language processing: 2421 papers of the Elamur Research library · page 57 of 97 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/57/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/57/) [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 57 # 💬 Natural language processing 2421 papers · page 57 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/56/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [56](https://md.research.elamur.ai/free/en/shelves/nlp/page/56/) **57** [58](https://md.research.elamur.ai/free/en/shelves/nlp/page/58/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/58/) - [Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems](https://md.research.elamur.ai/free/en/papers/madotto-2018-mem2seq-effectively-incorporating-knowledge-bases/) — Andrea Madotto, Chien-Sheng Wu, Pascale Fung · 2018 - [Meta-Learning for Low-Resource Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gu-2018-meta-learning-low-resource-neural/) — Jiatao Gu, Yong Wang, Yun Chen, et al. · 2018 - [Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns](https://md.research.elamur.ai/free/en/papers/webster-2018-mind-gap-balanced-corpus-gendered/) — Kellie Webster, Marta Recasens, Vera Axelrod, et al. · 2018 - [Modeling Empathy and Distress in Reaction to News Stories](https://md.research.elamur.ai/free/en/papers/buechel-2018-modeling-empathy-distress-reaction-news/) — Sven Buechel, Anneke Buffone, Barry Slaff, et al. · 2018 - [Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/aclbulk-2018-shapiro-morphological-word-embeddings-arabic-neural/) — Pamela Shapiro, Kevin Duh · 2018 - [MTNT: A Testbed for Machine Translation of Noisy Text](https://md.research.elamur.ai/free/en/papers/michel-2018-mtnt-testbed-machine-translation-noisy/) — Paul Michel, Graham Neubig · 2018 - [Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds](https://md.research.elamur.ai/free/en/papers/labutov-2018-multi-relational-question-answering-narratives/) — Igor Labutov, Bishan Yang, Anusha Prakash, et al. · 2018 - [Multi-Reward Reinforced Summarization with Saliency and Entailment](https://md.research.elamur.ai/free/en/papers/pasunuru-2018-multi-reward-reinforced-summarization-saliency/) — Ramakanth Pasunuru, Mohit Bansal · 2018 - [Multi-task learning for historical text normalization: Size matters](https://md.research.elamur.ai/free/en/papers/aclbulk-2018-bollmann-multi-task-learning-historical-text/) — Marcel Bollmann, Anders Søgaard, Joachim Bingel · 2018 - [Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network](https://md.research.elamur.ai/free/en/papers/zhou-2018-multi-turn-response-selection-chatbots/) — Xiangyang Zhou, Lu Li, Daxiang Dong, et al. · 2018 - [Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph](https://md.research.elamur.ai/free/en/papers/zadeh-2018-multimodal-language-analysis-wild-cmu/) — AmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria, et al. · 2018 - [Neural Cross-Lingual Named Entity Recognition with Minimal Resources](https://md.research.elamur.ai/free/en/papers/xie-2018-neural-cross-lingual-named-entity/) — Jiateng Xie, Zhilin Yang, Graham Neubig, et al. · 2018 - [Neural Document Summarization by Jointly Learning to Score and Select Sentences](https://md.research.elamur.ai/free/en/papers/zhou-2018-neural-document-summarization-jointly-learning/) — Qingyu Zhou, Nan Yang, Furu Wei, et al. · 2018 - [Neural Machine Translation Decoding with Terminology Constraints](https://md.research.elamur.ai/free/en/papers/hasler-2018-neural-machine-translation-decoding-terminology/) — Eva Hasler, Adrià de Gispert, Gonzalo Iglesias, et al. · 2018 - [Neural Models of Factuality](https://md.research.elamur.ai/free/en/papers/rudinger-2018-neural-models-factuality/) — Rachel Rudinger, Aaron Steven White, Benjamin Van Durme · 2018 - [Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies](https://md.research.elamur.ai/free/en/papers/grusky-2018-newsroom-dataset-1-3-million/) — Max Grusky, Mor Naaman, Yoav Artzi · 2018 - [Noise-Robust Morphological Disambiguation for Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/naacl-2018-zalmout-noise-robust-morphological-disambiguation-dialectal/) — Nasser Zalmout, Alexander Erdmann, Nizar Habash · 2018 - [Object Hallucination in Image Captioning](https://md.research.elamur.ai/free/en/papers/rohrbach-2018-object-hallucination-image-captioning/) — Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, et al. · 2018 - [Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words](https://md.research.elamur.ai/free/en/papers/mohammad-2018-obtaining-reliable-human-ratings-valence/) — Saif Mohammad · 2018 - [On the Impact of Various Types of Noise on Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/khayrallah-2018-impact-various-types-noise-neural/) — Huda Khayrallah, Philipp Koehn · 2018 - [On the Limitations of Unsupervised Bilingual Dictionary Induction](https://md.research.elamur.ai/free/en/papers/sogaard-2018-limitations-unsupervised-bilingual-dictionary-induction/) — Anders Søgaard, Sebastian Ruder, Ivan Vulić · 2018 - [On the Practical Computational Power of Finite Precision RNNs for Language Recognition](https://md.research.elamur.ai/free/en/papers/weiss-2018-practical-computational-power-finite-precision/) — Gail Weiss, Yoav Goldberg, Eran Yahav · 2018 - [OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification](https://md.research.elamur.ai/free/en/papers/vajjala-2018-onestopenglish-corpus-new-corpus-automatic/) — Sowmya Vajjala, Ivana Lučić · 2018 - [Overview of the EVALITA 2018 Hate Speech Detection Task](https://md.research.elamur.ai/free/en/papers/bosco-2018-overview-evalita-2018-hate-speech/) — Cristina Bosco, Felice Dell'Orletta, Fabio Poletto, et al. · 2018 - [Overview of the Evalita 2018 Task on Automatic Misogyny Identification (AMI)](https://md.research.elamur.ai/free/en/papers/fersini-2018-overview-evalita-2018-task-automatic/) — Elisabetta Fersini, Debora Nozza, Paolo Rosso · 2018 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/56/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [56](https://md.research.elamur.ai/free/en/shelves/nlp/page/56/) **57** [58](https://md.research.elamur.ai/free/en/shelves/nlp/page/58/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/58/)