---
title: "Natural language processing — papers, page 55"
description: "Natural language processing: 2421 papers of the Elamur Research library · page 55 of 97 — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/55/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/55/)

[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 55

# 💬 Natural language processing

2421 papers · page 55 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/54/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [54](https://md.research.elamur.ai/free/en/shelves/nlp/page/54/) **55** [56](https://md.research.elamur.ai/free/en/shelves/nlp/page/56/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/56/)

- [Document Context Neural Machine Translation with Memory Networks](https://md.research.elamur.ai/free/en/papers/maruf-2018-document-context-neural-machine-translation/) — Sameen Maruf, Gholamreza Haffari · 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
- [Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction](https://md.research.elamur.ai/free/en/papers/xu-2018-double-embeddings-cnn-based-sequence/) — Hu Xu, Bing Liu, Lei Shu, 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
- [Efficient Low-rank Multimodal Fusion With Modality-Specific Factors](https://md.research.elamur.ai/free/en/papers/liu-2018-efficient-low-rank-multimodal-fusion/) — Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, et al. · 2018
- [emrQA: A Large Corpus for Question Answering on Electronic Medical Records](https://md.research.elamur.ai/free/en/papers/pampari-2018-emrqa-large-corpus-question-answering/) — Anusri Pampari, Preethi Raghavan, Jennifer Liang, et al. · 2018
- [End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification](https://md.research.elamur.ai/free/en/papers/libovicky-2018-end-end-non-autoregressive-neural/) — Jindřich Libovický, Jindřich Helcl · 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
- [Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings](https://md.research.elamur.ai/free/en/papers/shing-2018-expert-crowdsourced-machine-assessment-suicide/) — Han-Chin Shing, Suraj Nair, Ayah Zirikly, et al. · 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
- [Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism](https://md.research.elamur.ai/free/en/papers/zeng-2018-extracting-relational-facts-end-end/) — Xiangrong Zeng, Daojian Zeng, Shizhu He, et al. · 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
- [Few-Shot Charge Prediction with Discriminative Legal Attributes](https://md.research.elamur.ai/free/en/papers/hu-2018-few-shot-charge-prediction-discriminative/) — Zikun Hu, Xiang Li, Cunchao Tu, 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
- [Fine-Grained Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/salameh-2018-fine-grained-arabic-dialect-identification/) — Mohammad Salameh, Houda Bouamor, Nizar Habash · 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
- [Graph-to-Sequence Learning using Gated Graph Neural Networks](https://md.research.elamur.ai/free/en/papers/beck-2018-graph-sequence-learning-gated-graph/) — Daniel Beck, Gholamreza Haffari, Trevor Cohn · 2018

[← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/54/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [54](https://md.research.elamur.ai/free/en/shelves/nlp/page/54/) **55** [56](https://md.research.elamur.ai/free/en/shelves/nlp/page/56/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/56/)
