---
title: "Papers of 2016 — page 4"
description: "Papers of 2016: 331 papers of the Elamur Research library — what each work is about in our own words, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/papers/2016/page/4/"
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# Papers of 2016 — page 4

331 papers · [all years](https://md.research.elamur.ai/free/en/papers/)

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- [The United Nations Parallel Corpus v1.0](https://md.research.elamur.ai/free/en/papers/ziemski-2016-united-nations-parallel-corpus-v1/) — Michał Ziemski, Marcin Junczys-Dowmunt, Bruno Pouliquen · Proceedings of the Tenth International…
- [Theano: A Python framework for fast computation of mathematical expressions](https://md.research.elamur.ai/free/en/papers/the-2016-theano-development-team-theano-python-framework-fast-computation/) — The Theano Development Team, Rami Al-Rfou, Guillaume Alain, et al. · arXiv:1605.02688
- [Time in Ancient Hebrew Lexicon: The Case of yrḥ and ḥdš](https://md.research.elamur.ai/free/en/papers/hbo-2016-legnaioli-time-ancient-hebrew-lexicon-case/) — Alberto Legnaioli · Ancient Hebrew
- [To resume or not to resume: Some remarks on 'resumption' in left dislocation constructions in Polish, and its relevance for Biblical Hebrew](https://md.research.elamur.ai/free/en/papers/hbo-2016-andrason-resume-resume-some-remarks-resumption/) — Alexander Andrason · Ancient Hebrew
- [Top Notch Participant Tracking in the Hebrew Bible](https://md.research.elamur.ai/free/en/papers/hbo-2016-winther-nielsen-top-notch-participant-tracking-hebrew/) — Nicolai Winther-Nielsen · Ancient Hebrew
- [Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder](https://md.research.elamur.ai/free/en/papers/ha-2016-multilingual-neural-machine-translation-universal/) — Thanh-Le Ha, Jan Niehues, Alex Waibel · Proceedings of the 13th International…
- [Transfer of Corpus-Specific Dialogue Act Annotation to ISO Standard: Is it worth it?](https://md.research.elamur.ai/free/en/papers/chowdhury-2016-transfer-corpus-specific-dialogue-act/) — Shammur Absar Chowdhury, Evgeny Stepanov, Giuseppe Riccardi · Proceedings of the Tenth International…
- [Tweet Sarcasm Detection Using Deep Neural Network](https://md.research.elamur.ai/free/en/papers/zhang-2016-tweet-sarcasm-detection-deep-neural/) — Meishan Zhang, Yue Zhang, Guohong Fu · Proceedings of COLING 2016, the 26th…
- [Two End-to-end Shallow Discourse Parsers for English and Chinese in CoNLL-2016 Shared Task](https://md.research.elamur.ai/free/en/papers/wang-2016-two-end-end-shallow-discourse/) — Jianxiang Wang, Man Lan · Proceedings of the CoNLL-16 shared task
- [UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing](https://md.research.elamur.ai/free/en/papers/ud-2016-straka-udpipe-trainable-pipeline-processing-conll/) — Milan Straka, Jan Hajič, Jana Straková · English
- [UniTN End-to-End Discourse Parser for CoNLL 2016 Shared Task](https://md.research.elamur.ai/free/en/papers/stepanov-2016-unitn-end-end-discourse-parser/) — Evgeny Stepanov, Giuseppe Riccardi · Proceedings of the CoNLL-16 shared task
- [Universal Decompositional Semantics on Universal Dependencies](https://md.research.elamur.ai/free/en/papers/white-2016-universal-decompositional-semantics-universal-dependencies/) — Aaron Steven White, Drew Reisinger, Keisuke Sakaguchi, et al. · English
- [Universal Dependencies for Learner English](https://md.research.elamur.ai/free/en/papers/berzak-2016-universal-dependencies-learner-english/) — Yevgeni Berzak, Jessica Kenney, Carolyn Spadine, et al. · Mova's core list
- [Universal Dependencies v1: A Multilingual Treebank Collection](https://md.research.elamur.ai/free/en/papers/ud-2016-nivre-universal-dependencies-v1-multilingual-treebank/) — Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, et al. · English
- [Unsupervised Ranking Model for Entity Coreference Resolution](https://md.research.elamur.ai/free/en/papers/ma-2016-unsupervised-ranking-model-entity-coreference/) — Xuezhe Ma, Zhengzhong Liu, Eduard Hovy · Proceedings of the 2016 Conference of the North…
- [Unsupervised Sentence Simplification Using Deep Semantics](https://md.research.elamur.ai/free/en/papers/narayan-2016-unsupervised-sentence-simplification-deep-semantics/) — Shashi Narayan, Claire Gardent · Machine translation
- [Variabilité des syllabes réalisées par des apprenants de l'anglais (Analysing syllable variability in a French learner corpus of English)](https://md.research.elamur.ai/free/en/papers/ballier-2016-variabilite-des-syllabes-realisees-par/) — Nicolas Ballier, Philippe Martin, Maelle Amand · Actes de la conférence conjointe…
- [Variational Neural Discourse Relation Recognizer](https://md.research.elamur.ai/free/en/papers/zhang-2016-variational-neural-discourse-relation-recognizer/) — Biao Zhang, Deyi Xiong, Jinsong Su, et al. · Proceedings of the 2016 Conference on Empirical…
- [Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-dean-verb-phrase-ellipsis-resolution-discriminative/) — Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup · English
- [Very-large Scale Parsing and Normalization of Wiktionary Morphological Paradigms](https://md.research.elamur.ai/free/en/papers/lex-2016-kirov-wiktionary-paradigms/) — Christo Kirov, John Sylak-Glassman, Roger Que, et al. · English
- [Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations](https://md.research.elamur.ai/free/en/papers/krishna-2016-visual-genome-connecting-language-vision/) — Ranjay Krishna, Yuke Zhu, Oliver Groth, et al. · arXiv:1602.07332
- [Visual Storytelling](https://md.research.elamur.ai/free/en/papers/huang-2016-visual-storytelling/) — Ting-Hao Kenneth Huang, Francis Ferraro, Nasrin Mostafazadeh, et al. · Proceedings of the 2016 Conference of the North…
- [Visualizing and Understanding Neural Models in NLP](https://md.research.elamur.ai/free/en/papers/li-2016-visualizing-understanding-neural-models-nlp/) — Jiwei Li, Xinlei Chen, Eduard Hovy, et al. · Proceedings of the 2016 Conference of the North…
- [WaveNet: A Generative Model for Raw Audio](https://md.research.elamur.ai/free/en/papers/oord-2016-wavenet-generative-model-raw-audio/) — Aaron van den Oord, Sander Dieleman, Heiga Zen, et al. · arXiv:1609.03499
- [What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment](https://md.research.elamur.ai/free/en/papers/mei-2016-what-talk-about-how-selective/) — Hongyuan Mei, Mohit Bansal, Matthew R. Walter · Proceedings of the 2016 Conference of the North…
- [When Annotation Schemes Change Rules Help: A Configurable Approach to Coreference Resolution beyond OntoNotes](https://md.research.elamur.ai/free/en/papers/zeldes-2016-when-annotation-schemes-change-rules/) — Amir Zeldes, Shuo Zhang · Proceedings of the Workshop on Coreference…
- [Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM](https://md.research.elamur.ai/free/en/papers/habernal-2016-which-argument-is-more-convincing/) — Ivan Habernal, Iryna Gurevych · Proceedings of the 54th Annual Meeting of the…
- [Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric](https://md.research.elamur.ai/free/en/papers/moosavi-2016-which-coreference-evaluation-metric-do/) — Nafise Sadat Moosavi, Michael Strube · English
- [WikiCoref: An English Coreference-annotated Corpus of Wikipedia Articles](https://md.research.elamur.ai/free/en/papers/ghaddar-2016-wikicoref-english-coreference-annotated-corpus/) — Abbas Ghaddar, Phillippe Langlais · English
- [Word Segmentation for Akkadian Cuneiform](https://md.research.elamur.ai/free/en/papers/lingbulk-2016-homburg-word-segmentation-akkadian-cuneiform/) — Timo Homburg, Christian Chiarcos · Semitic languages
- [Zero-Resource Translation with Multi-Lingual Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/firat-2016-zero-resource-translation-multi-lingual/) — Orhan Firat, Baskaran Sankaran, Yaser Al-onaizan, et al. · Proceedings of the 2016 Conference on Empirical…

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