---
title: "Natural language processing — papers, page 44"
description: "Natural language processing: 1506 papers of the Elamur Research library · page 44 of 61 — our summary of each, its ideas, references and who cites it."
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# 💬 Natural language processing

1506 papers · page 44 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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- [Generating English from Abstract Meaning Representations](https://md.research.elamur.ai/free/en/papers/pourdamghani-2016-generating-english-abstract-meaning-representations/) — Nima Pourdamghani, Kevin Knight, Ulf Hermjakob · 2016
- [Generating Sentences from a Continuous Space](https://md.research.elamur.ai/free/en/papers/bowman-2016-generating-sentences-continuous-space/) — Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al. · 2016
- [Generation from Abstract Meaning Representation using Tree Transducers](https://md.research.elamur.ai/free/en/papers/flanigan-2016-generation-abstract-meaning-representation-tree/) — Jeffrey Flanigan, Chris Dyer, Noah A. Smith, et al. · 2016
- [Hierarchical Attention Networks for Document Classification](https://md.research.elamur.ai/free/en/papers/yang-2016-hierarchical-attention-networks-document-classification/) — Zichao Yang, Diyi Yang, Chris Dyer, et al. · 2016
- [HUME: Human UCCA-Based Evaluation of Machine Translation](https://md.research.elamur.ai/free/en/papers/birch-2016-hume-human-ucca-based-evaluation/) — Alexandra Birch, Omri Abend, Ondřej Bojar, et al. · 2016
- [Improving historical spelling normalization with bi-directional LSTMs and multi-task learning](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-bollmann-improving-historical-spelling-normalization-bi/) — Marcel Bollmann, Anders Søgaard · 2016
- [Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-yoshikawa-joint-transition-based-dependency-parsing/) — Masashi Yoshikawa, Hiroyuki Shindo, Yuji Matsumoto · 2016
- [Learning a POS tagger for AAVE-like language](https://md.research.elamur.ai/free/en/papers/jorgensen-2016-learning-pos-tagger-aave-like/) — Anna Jørgensen, Dirk Hovy, Anders Søgaard · 2016
- [Learning Distributed Representations of Sentences from Unlabelled Data](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-distributed-representations-sentences-unlabelled/) — Felix Hill, Kyunghyun Cho, Anna Korhonen · 2016
- [Learning principled bilingual mappings of word embeddings while preserving monolingual invariance](https://md.research.elamur.ai/free/en/papers/artetxe-2016-learning-principled-bilingual-mappings-word/) — Mikel Artetxe, Gorka Labaka, Eneko Agirre · 2016
- [Linguistic Input Features Improve Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/sennrich-2016-linguistic-input-features-improve-neural/) — Rico Sennrich, Barry Haddow · 2016
- [Long Short-Term Memory-Networks for Machine Reading](https://md.research.elamur.ai/free/en/papers/cheng-2016-long-short-term-memory-networks/) — Jianpeng Cheng, Li Dong, Mirella Lapata · 2016
- [LSTM CCG Parsing](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-lewis-lstm-ccg-parsing/) — Mike Lewis, Kenton Lee, Luke Zettlemoyer · 2016
- [Many Languages, One Parser](https://md.research.elamur.ai/free/en/papers/ammar-2016-many-languages-one-parser/) — Waleed Ammar, George Mulcaire, Miguel Ballesteros, et al. · 2016
- [Modeling Coverage for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/tu-2016-modeling-coverage-neural-machine-translation/) — Zhaopeng Tu, Zhengdong Lu, Yang Liu, et al. · 2016
- [Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism](https://md.research.elamur.ai/free/en/papers/firat-2016-multi-way-multilingual-neural-machine/) — Orhan Firat, Kyunghyun Cho, Yoshua Bengio · 2016
- [Neural Paraphrase Generation with Stacked Residual LSTM Networks](https://md.research.elamur.ai/free/en/papers/prakash-2016-neural-paraphrase-generation-stacked-residual/) — Aaditya Prakash, Sadid A. Hasan, Kathy Lee, et al. · 2016
- [Neural Summarization by Extracting Sentences and Words](https://md.research.elamur.ai/free/en/papers/cheng-2016-neural-summarization-extracting-sentences-words/) — Jianpeng Cheng, Mirella Lapata · 2016
- [Neural versus Phrase-Based Machine Translation Quality: a Case Study](https://md.research.elamur.ai/free/en/papers/bentivogli-2016-neural-versus-phrase-based-machine/) — Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo, et al. · 2016
- [OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles](https://md.research.elamur.ai/free/en/papers/lison-2016-opensubtitles2016-extracting-large-parallel-corpora/) — Pierre Lison, Jörg Tiedemann · 2016
- [Optimizing Statistical Machine Translation for Text Simplification](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/) — Wei Xu, Courtney Napoles, Ellie Pavlick, et al. · 2016
- [Part-of-Speech Tagging for Historical English](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-yang-part-speech-tagging-historical-english/) — Yi Yang, Jacob Eisenstein · 2016
- [Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-liebeskind-semantically-motivated-hebrew-verb-noun/) — Chaya Liebeskind, Yaakov HaCohen-Kerner · 2016
- [SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation](https://md.research.elamur.ai/free/en/papers/agirre-2016-semeval-2016-task-1-semantic/) — Eneko Agirre, Carmen Banea, Daniel Cer, et al. · 2016
- [SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://md.research.elamur.ai/free/en/papers/rajpurkar-2016-squad-100-000-questions-machine/) — Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, et al. · 2016

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