---
title: "Natural language processing — papers, page 40"
description: "Natural language processing: 1506 papers of the Elamur Research library · page 40 of 61 — our summary of each, its ideas, references and who cites it."
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# 💬 Natural language processing

1506 papers · page 40 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.

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- [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
- [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
- [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
- [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
- [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 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 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
- [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
- [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
- [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
- [Controlling Linguistic Style Aspects in Neural Language Generation](https://md.research.elamur.ai/free/en/papers/ficler-2017-controlling-linguistic-style-aspects-neural/) — Jessica Ficler, Yoav Goldberg · 2017
- [Crowdsourcing Multiple Choice Science Questions](https://md.research.elamur.ai/free/en/papers/welbl-2017-crowdsourcing-multiple-choice-science-questions/) — Johannes Welbl, Nelson F. Liu, Matt Gardner · 2017
- [Deep Semantic Role Labeling: What Works and What's Next](https://md.research.elamur.ai/free/en/papers/he-2017-deep-semantic-role-labeling-what/) — Luheng He, Kenton Lee, Mike Lewis, et al. · 2017

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