---
title: "Papers of 2015 — page 2"
description: "Papers of 2015: 185 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/2015/page/2/"
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# Papers of 2015 — page 2

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

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- [Named Entity Recognition with Bidirectional LSTM-CNNs](https://md.research.elamur.ai/free/en/papers/chiu-2015-named-entity-recognition-bidirectional-lstm/) — Jason P. C. Chiu, Eric Nichols · arXiv:1511.08308
- [Neural Module Networks](https://md.research.elamur.ai/free/en/papers/andreas-2015-neural-module-networks/) — Jacob Andreas, Marcus Rohrbach, Trevor Darrell, et al. · arXiv:1511.02799
- [Neural Responding Machine for Short-Text Conversation](https://md.research.elamur.ai/free/en/papers/shang-2015-neural-responding-machine-short-text/) — Lifeng Shang, Zhengdong Lu, Hang Li · Proceedings of the 53rd Annual Meeting of the…
- [Normalized Word Embedding and Orthogonal Transform for Bilingual Word Translation](https://md.research.elamur.ai/free/en/papers/xing-2015-normalized-word-embedding-orthogonal-transform/) — Chao Xing, Dong Wang, Chao Liu, et al. · Proceedings of the 2015 Conference of the North…
- [On Grammaticality in the Syntactic Annotation of Learner Language](https://md.research.elamur.ai/free/en/papers/dickinson-2015-grammaticality-syntactic-annotation-learner-language/) — Markus Dickinson, Marwa Ragheb · Mova's core list
- [On Using Monolingual Corpora in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gulcehre-2015-using-monolingual-corpora-neural-machine/) — Caglar Gulcehre, Orhan Firat, Kelvin Xu, et al. · arXiv:1503.03535
- [On Using Very Large Target Vocabulary for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/jean-2015-very-large-target-vocabulary-neural/) — Sébastien Jean, Kyunghyun Cho, Roland Memisevic, et al. · Proceedings of the 53rd Annual Meeting of the…
- [One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations](https://md.research.elamur.ai/free/en/papers/ji-2015-one-vector-is-not-enough/) — Yangfeng Ji, Jacob Eisenstein · Research library
- [Optimality Grammars of Ancient Translations: Descriptive Translation Studies, Optimality Theory, and Targum Jonathan 2 Sam 11:1](https://md.research.elamur.ai/free/en/papers/hbo-2015-hutton-optimality-grammars-ancient-translations/) — Jeremy M. Hutton · Ancient Hebrew
- [Orthography Engineering in Grammatical Framework](https://md.research.elamur.ai/free/en/papers/angelov-2015-orthography-engineering-grammatical-framework/) — Krasimir Angelov · Proceedings of the Grammar Engineering Across…
- [Overview of the DSL Shared Task 2015](https://md.research.elamur.ai/free/en/papers/zampieri-2015-overview-dsl-shared-task/) — Marcos Zampieri, Liling Tan, Nikola Ljubešić, et al. · LT4VarDial 2015
- [Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation](https://md.research.elamur.ai/free/en/papers/pust-2015-parsing-english-into-abstract-meaning/) — Michael Pust, Ulf Hermjakob, Kevin Knight, et al. · Proceedings of the 2015 Conference on Empirical…
- [PDTB Discourse Parsing as a Tagging Task: The Two Taggers Approach](https://md.research.elamur.ai/free/en/papers/biran-2015-pdtb-discourse-parsing-as-tagging/) — Or Biran, Kathleen McKeown · Proceedings of the 16th Annual Meeting of the…
- [PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification](https://md.research.elamur.ai/free/en/papers/pavlick-2015-ppdb-2-0-better-paraphrase/) — Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, et al. · Machine translation
- [Prepositional Phrase Attachment Problem Revisited: How VERBNET Can Help](https://md.research.elamur.ai/free/en/papers/lingbulk-2015-bailey-prepositional-phrase-attachment-problem-revisited/) — Daniel Bailey, Yuliya Lierler, Benjamin Susman · English
- [Probabilistic Modelling of Morphologically Rich Languages](https://md.research.elamur.ai/free/en/papers/langstream-2015-botha-probabilistic-modelling-morphologically-rich-languages/) — Jan A. Botha · Semitic languages
- [Problems in Current Text Simplification Research: New Data Can Help](https://md.research.elamur.ai/free/en/papers/xu-2015-problems-current-text-simplification-research/) — Wei Xu, Chris Callison-Burch, Courtney Napoles · Transactions of the Association for…
- [Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language](https://md.research.elamur.ai/free/en/papers/he-2015-question-answer-driven-semantic-role/) — Luheng He, Mike Lewis, Luke Zettlemoyer · English
- [Re-evaluating Automatic Summarization with BLEU and 192 Shades of ROUGE](https://md.research.elamur.ai/free/en/papers/graham-2015-re-evaluating-automatic-summarization-bleu/) — Yvette Graham · Proceedings of the 2015 Conference on Empirical…
- [Reasoning about Entailment with Neural Attention](https://md.research.elamur.ai/free/en/papers/rocktaschel-2015-reasoning-about-entailment-neural-attention/) — Tim Rocktaschel, Edward Grefenstette, Karl Moritz Hermann, et al. · arXiv:1509.06664
- [Recovering discourse relations: Varying influence of discourse adverbials](https://md.research.elamur.ai/free/en/papers/rohde-2015-recovering-discourse-relations-varying-influence/) — Hannah Rohde, Anna Dickinson, Chris Clark, et al. · Proceedings of the First Workshop on Linking…
- [Relation Extraction: Perspective from Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/nguyen-2015-relation-extraction-perspective-convolutional-neural/) — Thien Huu Nguyen, Ralph Grishman · Proceedings of the 1st Workshop on Vector Space…
- [Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers](https://md.research.elamur.ai/free/en/papers/guha-2015-removing-training-wheels-coreference-dataset/) — Anupam Guha, Mohit Iyyer, Danny Bouman, et al. · Proceedings of the 2015 Conference of the North…
- [Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval](https://md.research.elamur.ai/free/en/papers/liu-2015-representation-learning-multi-task-deep/) — Xiaodong Liu, Jianfeng Gao, Xiaodong He, et al. · Proceedings of the 2015 Conference of the North…
- [Representing Text for Joint Embedding of Text and Knowledge Bases](https://md.research.elamur.ai/free/en/papers/toutanova-2015-representing-text-joint-embedding-text/) — Kristina Toutanova, Danqi Chen, Patrick Pantel, et al. · Proceedings of the 2015 Conference on Empirical…
- [Rule-based Coreference Resolution in German Historic Novels](https://md.research.elamur.ai/free/en/papers/krug-2015-rule-based-coreference-resolution-german/) — Markus Krug, Frank Puppe, Fotis Jannidis, et al. · Proceedings of the Fourth Workshop on…
- [Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words](https://md.research.elamur.ai/free/en/papers/ghosh-2015-sarcastic-or-not-word-embeddings/) — Debanjan Ghosh, Weiwei Guo, Smaranda Muresan · Proceedings of the 2015 Conference on Empirical…
- [Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems](https://md.research.elamur.ai/free/en/papers/wen-2015-semantically-conditioned-lstm-based-natural/) — Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, et al. · Proceedings of the 2015 Conference on Empirical…
- [SemEval-2015 Task 10: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2015-semeval-2015-task-10-sentiment/) — Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, et al. · Proceedings of the 9th International Workshop…
- [SemEval-2015 Task 12: Aspect Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/pontiki-2015-semeval-2015-task-12-aspect/) — Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, et al. · Proceedings of the 9th International Workshop…
- [SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)](https://md.research.elamur.ai/free/en/papers/xu-2015-semeval-2015-task-1-paraphrase/) — Wei Xu, Chris Callison-Burch, Bill Dolan · Proceedings of the 9th International Workshop…
- [SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability](https://md.research.elamur.ai/free/en/papers/agirre-2015-semeval-2015-task-2-semantic/) — Eneko Agirre, Carmen Banea, Claire Cardie, et al. · Proceedings of the 9th International Workshop…
- [SensEmbed: Learning Sense Embeddings for Word and Relational Similarity](https://md.research.elamur.ai/free/en/papers/iacobacci-2015-sensembed-learning-sense-embeddings-word/) — Ignacio Iacobacci, Mohammad Taher Pilehvar, Roberto Navigli · Proceedings of the 53rd Annual Meeting of the…
- [Sentence Compression by Deletion with LSTMs](https://md.research.elamur.ai/free/en/papers/filippova-2015-sentence-compression-deletion-lstms/) — Katja Filippova, Enrique Alfonseca, Carlos A. Colmenares, et al. · Proceedings of the 2015 Conference on Empirical…
- [Sequence Level Training with Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/ranzato-2015-sequence-level-training-recurrent-neural/) — Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, et al. · arXiv:1511.06732
- [Sequences of Verbal Forms and Taxis in Biblical Hebrew](https://md.research.elamur.ai/free/en/papers/hbo-2015-lenzi-sequences-verbal-forms-taxis-biblical/) — Giovanni Lenzi · Ancient Hebrew
- [Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/zhang-2015-shallow-convolutional-neural-network-implicit/) — Biao Zhang, Jinsong Su, Deyi Xiong, et al. · Proceedings of the 2015 Conference on Empirical…
- [Shallow Discourse Parsing Using Constituent Parsing Tree](https://md.research.elamur.ai/free/en/papers/chen-2015-shallow-discourse-parsing-constituent-parsing/) — Changge Chen, Peilu Wang, Hai Zhao · Proceedings of the Nineteenth Conference on…
- [Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/baldwin-2015-shared-tasks-2015-workshop-noisy/) — Timothy Baldwin, Marie Catherine de Marneffe, Bo Han, et al. · Proceedings of the Workshop on Noisy…
- [Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection](https://md.research.elamur.ai/free/en/papers/rinott-2015-show-me-your-evidence-automatic/) — Ruty Rinott, Lena Dankin, Carlos Alzate Perez, et al. · Proceedings of the 2015 Conference on Empirical…
- [Show, Attend and Tell: Neural Image Caption Generation with Visual Attention](https://md.research.elamur.ai/free/en/papers/xu-2015-show-attend-tell-neural-image/) — Kelvin Xu, Jimmy Ba, Ryan Kiros, et al. · arXiv:1502.03044
- [SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation](https://md.research.elamur.ai/free/en/papers/hill-2015-simlex-999-evaluating-semantic-models/) — Felix Hill, Roi Reichart, Anna Korhonen · Research library
- [Simplifying Lexical Simplification: Do We Need Simplified Corpora?](https://md.research.elamur.ai/free/en/papers/glavas-2015-simplifying-lexical-simplification-do-we/) — Goran Glavaš, Sanja Štajner · Proceedings of the 53rd Annual Meeting of the…
- [SMT Errors Requiring Grammatical Knowledge for Prevention](https://md.research.elamur.ai/free/en/papers/alam-2015-smt-errors-requiring-grammatical-knowledge/) — Yukiko Sasaki Alam · Proceedings of the 12th International…
- [Solving General Arithmetic Word Problems](https://md.research.elamur.ai/free/en/papers/roy-2015-solving-general-arithmetic-word-problems/) — Subhro Roy, Dan Roth · Mova's core list
- [Solving Hard Coreference Problems](https://md.research.elamur.ai/free/en/papers/peng-2015-solving-hard-coreference-problems/) — Haoruo Peng, Daniel Khashabi, Dan Roth · Proceedings of the 2015 Conference of the North…
- [Spectral Semi-Supervised Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/fisher-2015-spectral-semi-supervised-discourse-relation/) — Robert Fisher, Reid Simmons · Proceedings of the 53rd Annual Meeting of the…
- [Statistical Parsing by Machine Learning from a Classical Arabic Treebank](https://md.research.elamur.ai/free/en/papers/langstream-2015-dukes-statistical-parsing-machine-learning-classical/) — Kais Dukes · Semitic languages
- [Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking](https://md.research.elamur.ai/free/en/papers/wen-2015-stochastic-language-generation-dialogue-recurrent/) — Tsung-Hsien Wen, Milica Gašić, Dongho Kim, et al. · Proceedings of the 16th Annual Meeting of the…
- [Suspense and Authority amid Biblical Hebrew Front Dislocation](https://md.research.elamur.ai/free/en/papers/hbo-2015-korchin-suspense-authority-amid-biblical-hebrew/) — Paul Korchin · Ancient Hebrew
- [Teaching Machines to Read and Comprehend](https://md.research.elamur.ai/free/en/papers/hermann-2015-teaching-machines-read-comprehend/) — Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, et al. · arXiv:1506.03340
- [That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets](https://md.research.elamur.ai/free/en/papers/wang-2015-that-s-so-annoying-lexical/) — William Yang Wang, Diyi Yang · Proceedings of the 2015 Conference on Empirical…
- [The CoNLL-2015 Shared Task on Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/xue-2015-conll-2015-shared-task-shallow/) — Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al. · Proceedings of the Nineteenth Conference on…
- [The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification](https://md.research.elamur.ai/free/en/papers/wang-2015-dcu-discourse-parser-connective-argument/) — Longyue Wang, Chris Hokamp, Tsuyoshi Okita, et al. · Proceedings of the Nineteenth Conference on…
- [The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations](https://md.research.elamur.ai/free/en/papers/hill-2015-goldilocks-principle-reading-children-s/) — Felix Hill, Antoine Bordes, Sumit Chopra, et al. · arXiv:1511.02301
- [The Hebrew Bible as Data: Laboratory – Sharing – Experiences](https://md.research.elamur.ai/free/en/papers/hbo-2015-roorda-hebrew-bible-data-laboratory-sharing/) — Dirk Roorda · Ancient Hebrew
- [The Media Frames Corpus: Annotations of Frames Across Issues](https://md.research.elamur.ai/free/en/papers/card-2015-media-frames-corpus-annotations-frames/) — Dallas Card, Amber E. Boydstun, Justin H. Gross, et al. · Proceedings of the 53rd Annual Meeting of the…
- [The Multidimensional Quality Metrics (MQM) Framework: a new framework for translation quality assessment](https://md.research.elamur.ai/free/en/papers/mariana-2015-multidimensional-quality-metrics-mqm-framework/) — Valerie Mariana, Troy Cox, Alan Melby · Machine translation
- [The Role of Expectedness in the Implicitation and Explicitation of Discourse Relations](https://md.research.elamur.ai/free/en/papers/hoek-2015-role-expectedness-implicitation-explicitation-discourse/) — Jet Hoek, Jacqueline Evers-Vermeul, Ted J.M. Sanders · Proceedings of the Second Workshop on Discourse…
- [The Translation of Quotative Frames in the Hebrew Bible](https://md.research.elamur.ai/free/en/papers/miller-2026-naude-translation-quotative-frames-hebrew-bible/) — Cynthia L. Miller-Naudé, Jacobus A. Naudé · Machine translation
- [The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems](https://md.research.elamur.ai/free/en/papers/lowe-2015-ubuntu-dialogue-corpus-large-dataset/) — Ryan Lowe, Nissan Pow, Iulian Serban, et al. · arXiv:1506.08909
- [The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models](https://md.research.elamur.ai/free/en/papers/stepanov-2015-unitn-discourse-parser-conll-2015/) — Evgeny Stepanov, Giuseppe Riccardi, Ali Orkan Bayer · Proceedings of the Nineteenth Conference on…
- [Toward Abstractive Summarization Using Semantic Representations](https://md.research.elamur.ai/free/en/papers/liu-2015-abstractive-summarization-semantic-representations/) — Fei Liu, Jeffrey Flanigan, Sam Thomson, et al. · Proceedings of the 2015 Conference of the North…
- [Toward the Ocean of the Biblical Hebrew Verbal System](https://md.research.elamur.ai/free/en/papers/hbo-2026-andrason-toward-ocean-biblical-hebrew-verbal/) — Alexander Andrason · Ancient Hebrew
- [Towards a Contextual Pragmatic Model to Detect Irony in Tweets](https://md.research.elamur.ai/free/en/papers/karoui-2015-contextual-pragmatic-model-detect-irony/) — Jihen Karoui, Farah Benamara Zitoune, Véronique Moriceau, et al. · Proceedings of the 53rd Annual Meeting of the…
- [Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks](https://md.research.elamur.ai/free/en/papers/weston-2015-towards-ai-complete-question-answering/) — Jason Weston, Antoine Bordes, Sumit Chopra, et al. · Mova's core list
- [Towards Universal Paraphrastic Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/wieting-2015-towards-universal-paraphrastic-sentence-embeddings/) — John Wieting, Mohit Bansal, Kevin Gimpel, et al. · arXiv:1511.08198
- [Transferring Coreference Resolvers with Posterior Regularization](https://md.research.elamur.ai/free/en/papers/martins-2015-transferring-coreference-resolvers-posterior-regularization/) — André F. T. Martins · Proceedings of the 53rd Annual Meeting of the…
- [Transition-Based Dependency Parsing with Stack Long Short-Term Memory](https://md.research.elamur.ai/free/en/papers/missing-2015-dyer-transition-based-dependency-parsing-stack/) — Chris Dyer, Miguel Ballesteros, Wang Ling, et al. · English
- [Transition-Based Syntactic Linearization](https://md.research.elamur.ai/free/en/papers/liu-2015-transition-based-syntactic-linearization/) — Yijia Liu, Yue Zhang, Wanxiang Che, et al. · Machine translation
- [Translating Granularity of Event Slots into Features for Event Coreference Resolution.](https://md.research.elamur.ai/free/en/papers/cybulska-2015-translating-granularity-event-slots-into/) — Agata Cybulska, Piek Vossen · Proceedings of the 3rd Workshop on EVENTS…
- [Translation Techniques and Interpretative Phenomena in the Greek Version of the Hebrew Bible: A Study of the Figurative Use of the Noun צֵל 'Shadow'](https://md.research.elamur.ai/free/en/papers/vergari-2015-translation-techniques-interpretative-phenomena-greek/) — Romina Vergari · Machine translation
- [Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation](https://md.research.elamur.ai/free/en/papers/aroyo-2015-truth-lie-crowd-truth-seven/) — Lora M. Aroyo, Chris Welty · AI Magazine
- [Two Practical Rhetorical Structure Theory Parsers](https://md.research.elamur.ai/free/en/papers/surdeanu-2015-two-practical-rhetorical-structure-theory/) — Mihai Surdeanu, Tom Hicks, Marco Antonio Valenzuela-Escárcega · Proceedings of the 2015 Conference of the North…
- [Two/Too Simple Adaptations of Word2Vec for Syntax Problems](https://md.research.elamur.ai/free/en/papers/ling-2015-two-too-simple-adaptations-word2vec/) — Wang Ling, Chris Dyer, Alan W. Black, et al. · Proceedings of the 2015 Conference of the North…
- [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://md.research.elamur.ai/free/en/papers/ronneberger-2015-u-net-convolutional-networks-biomedical/) — Olaf Ronneberger, Philipp Fischer, Thomas Brox · arXiv:1505.04597
- [Universal Dependencies for Croatian (that work for Serbian, too)](https://md.research.elamur.ai/free/en/papers/agic-2015-universal-dependencies-croatian-that-work/) — Željko Agić, Nikola Ljubešić · The 5th Workshop on Balto-Slavic Natural…
- [Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks](https://md.research.elamur.ai/free/en/papers/radford-2015-unsupervised-representation-learning-deep-convolutional/) — Alec Radford, Luke Metz, Soumith Chintala · arXiv:1511.06434
- [Using a unified taxonomy to annotate discourse markers in speech and writing](https://md.research.elamur.ai/free/en/papers/crible-2015-unified-taxonomy-annotate-discourse-markers/) — Ludivine Crible, Sandrine Zufferey · Proceedings of the 11th Joint ACL-ISO Workshop…
- [Using Word Semantics To Assist English as a Second Language Learners](https://md.research.elamur.ai/free/en/papers/azab-2015-word-semantics-assist-english-as/) — Mahmoud Azab, Chris Hokamp, Rada Mihalcea · Proceedings of the 2015 Conference of the North…
- [Visual7W: Grounded Question Answering in Images](https://md.research.elamur.ai/free/en/papers/zhu-2015-visual7w-grounded-question-answering-images/) — Yuke Zhu, Oliver Groth, Michael Bernstein, et al. · arXiv:1511.03416
- [Visualizing and Understanding Recurrent Networks](https://md.research.elamur.ai/free/en/papers/karpathy-2015-visualizing-understanding-recurrent-networks/) — Andrej Karpathy, Justin Johnson, Li Fei-Fei · arXiv:1506.02078
- [WikiQA: A Challenge Dataset for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/yang-2015-wikiqa-challenge-dataset-open-domain/) — Yi Yang, Wen-tau Yih, Christopher Meek · Proceedings of the 2015 Conference on Empirical…
- [YAGO3: A Knowledge Base from Multilingual Wikipedias](https://md.research.elamur.ai/free/en/papers/mahdisoltani-2015-yago3-knowledge-base-multilingual-wikipedias/) — Farzaneh Mahdisoltani, Joanna Biega, Fabian M. Suchanek · CIDR 2015
- [Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasm](https://md.research.elamur.ai/free/en/papers/khattri-2015-your-sentiment-precedes-you-author/) — Anupam Khattri, Aditya Joshi, Pushpak Bhattacharyya, et al. · Proceedings of the 6th Workshop on…

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