---
title: "Natural language processing — papers, page 37"
description: "Natural language processing: 1506 papers of the Elamur Research library · page 37 of 61 — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/37/"
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# 💬 Natural language processing

1506 papers · page 37 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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- [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
- [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
- [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
- [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 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
- [Document-Level Neural Machine Translation with Hierarchical Attention Networks](https://md.research.elamur.ai/free/en/papers/miculicich-2018-document-level-neural-machine-translation/) — Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, et al. · 2018
- [Dual Conditional Cross-Entropy Filtering of Noisy Parallel Corpora](https://md.research.elamur.ai/free/en/papers/dowmunt-2018-dual-conditional-cross-entropy-filtering/) — Marcin Junczys-Dowmunt · 2018
- [DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension](https://md.research.elamur.ai/free/en/papers/saha-2018-duorc-complex-language-understanding-paraphrased/) — Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, et al. · 2018
- [Evaluating Historical Text Normalization Systems: How Well Do They Generalize?](https://md.research.elamur.ai/free/en/papers/robertson-2018-evaluating-historical-text-normalization-systems/) — Alexander Robertson, Sharon Goldwater · 2018
- [Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems](https://md.research.elamur.ai/free/en/papers/kiritchenko-2018-examining-gender-race-bias-two/) — Svetlana Kiritchenko, Saif Mohammad · 2018
- [Explainable Prediction of Medical Codes from Clinical Text](https://md.research.elamur.ai/free/en/papers/mullenbach-2018-explainable-prediction-medical-codes-clinical/) — James Mullenbach, Sarah Wiegreffe, Jon Duke, et al. · 2018
- [Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples](https://md.research.elamur.ai/free/en/papers/acl-2018-joshi-extending-parser-distant-domains-few/) — Vidur Joshi, Matthew Peters, Mark Hopkins · 2018
- [Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/post-2018-fast-lexically-constrained-decoding-dynamic/) — Matt Post, David Vilar · 2018
- [FEVER: a Large-scale Dataset for Fact Extraction and VERification](https://md.research.elamur.ai/free/en/papers/thorne-2018-fever-large-scale-dataset-fact/) — James Thorne, Andreas Vlachos, Christos Christodoulopoulos, et al. · 2018
- [Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer](https://md.research.elamur.ai/free/en/papers/santos-2018-fighting-offensive-language-social-media/) — Cicero Nogueira dos Santos, Igor Melnyk, Inkit Padhi · 2018
- [Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering](https://md.research.elamur.ai/free/en/papers/koehn-2018-findings-wmt-2018-shared-task/) — Philipp Koehn, Huda Khayrallah, Kenneth Heafield, et al. · 2018
- [Fixing Translation Divergences in Parallel Corpora for Neural MT](https://md.research.elamur.ai/free/en/papers/pham-2018-fixing-translation-divergences-parallel-corpora/) — MinhQuang Pham, Josep Crego, Jean Senellart, et al. · 2018
- [Getting Gender Right in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/vanmassenhove-2018-getting-gender-right-neural-machine/) — Eva Vanmassenhove, Christian Hardmeier, Andy Way · 2018
- [GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/wang-2018-glue-multi-task-benchmark-analysis/) — Alex Wang, Amanpreet Singh, Julian Michael, et al. · 2018
- [Graph Convolution over Pruned Dependency Trees Improves Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhang-2018-graph-convolution-over-pruned-dependency/) — Yuhao Zhang, Peng Qi, Christopher D. Manning · 2018
- [Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation](https://md.research.elamur.ai/free/en/papers/laubli-2018-has-machine-translation-achieved-human/) — Samuel Läubli, Rico Sennrich, Martin Volk · 2018

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