--- title: "Papers of 2017 — page 3" description: "Papers of 2017: 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/2017/page/3/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2017/page/3/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2017 # Papers of 2017 — page 3 331 papers · [all years](https://md.research.elamur.ai/free/en/papers/) [← prev](https://md.research.elamur.ai/free/en/papers/2017/page/2/) [1](https://md.research.elamur.ai/free/en/papers/2017/) [2](https://md.research.elamur.ai/free/en/papers/2017/page/2/) **3** [4](https://md.research.elamur.ai/free/en/papers/2017/page/4/) [next →](https://md.research.elamur.ai/free/en/papers/2017/page/4/) - [MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications](https://md.research.elamur.ai/free/en/papers/howard-2017-mobilenets-efficient-convolutional-neural-networks/) — Andrew G. Howard, Menglong Zhu, Bo Chen, et al. · arXiv:1704.04861 - [Morphological Analysis for the Maltese Language: The challenges of a hybrid system](https://md.research.elamur.ai/free/en/papers/aclbulk-2017-borg-morphological-analysis-maltese-language-challenges/) — Claudia Borg, Albert Gatt · Semitic languages - [Morphological Inflection Generation with Hard Monotonic Attention](https://md.research.elamur.ai/free/en/papers/aharoni-2017-morphological-inflection-generation-hard-monotonic/) — Roee Aharoni, Yoav Goldberg · Proceedings of the 55th Annual Meeting of the… - [Multi-Domain Neural Machine Translation through Unsupervised Adaptation](https://md.research.elamur.ai/free/en/papers/farajian-2017-multi-domain-neural-machine-translation/) — M. Amin Farajian, Marco Turchi, Matteo Negri, et al. · Proceedings of the Second Conference on Machine… - [Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities](https://md.research.elamur.ai/free/en/papers/grishina-2017-multi-source-annotation-projection-coreference/) — Yulia Grishina, Manfred Stede · Proceedings of the 2nd Workshop on Coreference… - [Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification](https://md.research.elamur.ai/free/en/papers/lan-2017-multi-task-attention-based-neural/) — Man Lan, Jianxiang Wang, Yuanbin Wu, et al. · Proceedings of the 2017 Conference on Empirical… - [Nematus: a Toolkit for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/sennrich-2017-nematus-toolkit-neural-machine-translation/) — Rico Sennrich, Orhan Firat, Kyunghyun Cho, et al. · Proceedings of the Software Demonstrations of… - [Neural AMR: Sequence-to-Sequence Models for Parsing and Generation](https://md.research.elamur.ai/free/en/papers/konstas-2017-neural-amr-sequence-sequence-models/) — Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, et al. · Machine translation - [Neural End-to-End Learning for Computational Argumentation Mining](https://md.research.elamur.ai/free/en/papers/eger-2017-neural-end-end-learning-computational/) — Steffen Eger, Johannes Daxenberger, Iryna Gurevych · Proceedings of the 55th Annual Meeting of the… - [Neural Machine Translation with Extended Context](https://md.research.elamur.ai/free/en/papers/tiedemann-2017-neural-machine-translation-extended-context/) — Jörg Tiedemann, Yves Scherrer · Proceedings of the Third Workshop on Discourse… - [Neural Message Passing for Quantum Chemistry](https://md.research.elamur.ai/free/en/papers/gilmer-2017-neural-message-passing-quantum-chemistry/) — Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, et al. · arXiv:1704.01212 - [Neural Net Models of Open-domain Discourse Coherence](https://md.research.elamur.ai/free/en/papers/li-2017-neural-net-models-open-domain/) — Jiwei Li, Dan Jurafsky · Proceedings of the 2017 Conference on Empirical… - [Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations](https://md.research.elamur.ai/free/en/papers/noord-2017-neural-semantic-parsing-character-based/) — Rik van Noord, Johan Bos · arXiv:1705.09980 - [Neural-based Context Representation Learning for Dialog Act Classification](https://md.research.elamur.ai/free/en/papers/ortega-2017-neural-based-context-representation-learning/) — Daniel Ortega, Ngoc Thang Vu · Proceedings of the 18th Annual SIGdial Meeting… - [New perspectives on cohesion and coherence: Implications for translation](https://md.research.elamur.ai/free/en/papers/kunz-2017-new-perspectives-cohesion-coherence/) — Katrin Menzel, Ekaterina Lapshinova-Koltunski, Kerstin Kunz · Machine translation - [NewsQA: A Machine Comprehension Dataset](https://md.research.elamur.ai/free/en/papers/trischler-2017-newsqa-machine-comprehension-dataset/) — Adam Trischler, Tong Wang, Xingdi Yuan, et al. · Proceedings of the 2nd Workshop on… - [No case for Case in locality: Case does not help interpretation when intervention blocks A-bar chains](https://md.research.elamur.ai/free/en/papers/lingbulk-2017-friedmann-no-case-case-locality-case/) — Naama Friedmann, Luigi Rizzi, Adriana Belletti · Modern Hebrew - [Non-Autoregressive Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gu-2017-non-autoregressive-neural-machine-translation/) — Jiatao Gu, James Bradbury, Caiming Xiong, et al. · arXiv:1711.02281 - [Offline bilingual word vectors, orthogonal transformations and the inverted softmax](https://md.research.elamur.ai/free/en/papers/smith-2017-offline-bilingual-word-vectors-orthogonal/) — Samuel L. Smith, David H. P. Turban, Steven Hamblin, et al. · arXiv:1702.03859 - [On the Need of Cross Validation for Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/shi-2017-need-cross-validation-discourse-relation/) — Wei Shi, Vera Demberg · Proceedings of the 15th Conference of the… - [One-step and Two-step Classification for Abusive Language Detection on Twitter](https://md.research.elamur.ai/free/en/papers/park-2017-one-step-two-step-classification/) — Ji Ho Park, Pascale Fung · Proceedings of the First Workshop on Abusive… - [Ontology-Aware Token Embeddings for Prepositional Phrase Attachment](https://md.research.elamur.ai/free/en/papers/onto-2017-dasigi-ontology-aware-token-embeddings-prepositional/) — Pradeep Dasigi, Waleed Ammar, Chris Dyer, et al. · English - [OpenNMT: Open-Source Toolkit for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/klein-2017-opennmt-open-source-toolkit-neural/) — Guillaume Klein, Yoon Kim, Yuntian Deng, et al. · Proceedings of ACL 2017, System Demonstrations - [Ordinal Common-sense Inference](https://md.research.elamur.ai/free/en/papers/zhang-2017-ordinal-common-sense-inference/) — Sheng Zhang, Rachel Rudinger, Kevin Duh, et al. · Transactions of the Association for… - [Out-of-domain FrameNet Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/hartmann-2017-out-domain-framenet-semantic-role/) — Silvana Hartmann, Ilia Kuznetsov, Teresa Martin, et al. · English - [Overview of the IWSLT 2017 Evaluation Campaign](https://md.research.elamur.ai/free/en/papers/cettolo-2017-overview-iwslt-2017-evaluation-campaign/) — Mauro Cettolo, Marcello Federico, Luisa Bentivogli, et al. · Proceedings of the 14th International… - [Paraphrasing Revisited with Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/mallinson-2017-paraphrasing-revisited-neural-machine-translation/) — Jonathan Mallinson, Rico Sennrich, Mirella Lapata · Proceedings of the 15th Conference of the… - [ParlAI: A Dialog Research Software Platform](https://md.research.elamur.ai/free/en/papers/miller-2017-parlai-dialog-research-software-platform/) — Alexander Miller, Will Feng, Dhruv Batra, et al. · Proceedings of the 2017 Conference on Empirical… - [Parsing and presuppositions in the calculation of local contexts](https://md.research.elamur.ai/free/en/papers/mandelkern-2017-parsing-presuppositions-calculation-local-contexts/) — Matt Mandelkern, Jacopo Romoli · English - [Parsing Argumentation Structures in Persuasive Essays](https://md.research.elamur.ai/free/en/papers/stab-2017-parsing-argumentation-structures-persuasive-essays/) — Christian Stab, Iryna Gurevych · Computational Linguistics - [Poincaré Embeddings for Learning Hierarchical Representations](https://md.research.elamur.ai/free/en/papers/nickel-2017-poincare-embeddings-learning-hierarchical-representations/) — Maximilian Nickel, Douwe Kiela · arXiv:1705.08039 - [PP Attachment: Where do We Stand?](https://md.research.elamur.ai/free/en/papers/onto-2017-kok-pp-attachment-where-do-we/) — Daniël de Kok, Jianqiang Ma, Corina Dima, et al. · English - [Predictor-Estimator using Multilevel Task Learning with Stack Propagation for Neural Quality Estimation](https://md.research.elamur.ai/free/en/papers/kim-2017-predictor-estimator-multilevel-task-learning/) — Hyun Kim, Jong-Hyeok Lee, Seung-Hoon Na · Proceedings of the Second Conference on Machine… - [Prepositional Phrase Attachment over Word Embedding Products](https://md.research.elamur.ai/free/en/papers/lingbulk-2017-madhyastha-prepositional-phrase-attachment-over-word/) — Pranava Swaroop Madhyastha, Xavier Carreras, Ariadna Quattoni · English - [Preserving Distributional Information in Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/tran-2017-preserving-distributional-information-dialogue-act/) — Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari · Proceedings of the 2017 Conference on Empirical… - [Probability and implicatures: A unified account of the scalar effects of disjunction under modals](https://md.research.elamur.ai/free/en/papers/santorio-2017-probability-implicatures-unified-account-scalar/) — Paolo Santorio, Jacopo Romoli · English - [Projection-based Coreference Resolution Using Deep Syntax](https://md.research.elamur.ai/free/en/papers/novak-2017-projection-based-coreference-resolution-deep/) — Michal Novák, Anna Nedoluzhko, Zdeněk Žabokrtský · Proceedings of the 2nd Workshop on Coreference… - [Question Generation for Question Answering](https://md.research.elamur.ai/free/en/papers/duan-2017-question-generation-question-answering/) — Nan Duan, Duyu Tang, Peng Chen, et al. · Proceedings of the 2017 Conference on Empirical… - [RACE: Large-scale ReAding Comprehension Dataset From Examinations](https://md.research.elamur.ai/free/en/papers/lai-2017-race-large-scale-reading-comprehension/) — Guokun Lai, Qizhe Xie, Hanxiao Liu, et al. · English - [Reading Wikipedia to Answer Open-Domain Questions](https://md.research.elamur.ai/free/en/papers/chen-2017-reading-wikipedia-answer-open-domain/) — Danqi Chen, Adam Fisch, Jason Weston, et al. · Proceedings of the 55th Annual Meeting of the… - [Recurrent Attention Network on Memory for Aspect Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/chen-2017-recurrent-attention-network-memory-aspect/) — Peng Chen, Zhongqian Sun, Lidong Bing, et al. · Proceedings of the 2017 Conference on Empirical… - [Reference-based Metrics can be Replaced with Reference-less Metrics in Evaluating Grammatical Error Correction Systems](https://md.research.elamur.ai/free/en/papers/asano-2017-reference-based-metrics-can-be/) — Hiroki Asano, Tomoya Mizumoto, Kentaro Inui · Proceedings of the Eighth International Joint… - [Reflexive verbs in Hebrew: Deep unaccusativity meets lexical semantics](https://md.research.elamur.ai/free/en/papers/lingbulk-2017-kastner-reflexive-verbs-hebrew-deep-unaccusativity/) — Itamar Kastner · Modern Hebrew - [Regularizing and Optimizing LSTM Language Models](https://md.research.elamur.ai/free/en/papers/merity-2017-regularizing-optimizing-lstm-language-models/) — Stephen Merity, Nitish Shirish Keskar, Richard Socher · arXiv:1708.02182 - [Regularizing Neural Networks by Penalizing Confident Output Distributions](https://md.research.elamur.ai/free/en/papers/pereyra-2017-regularizing-neural-networks-penalizing-confident/) — Gabriel Pereyra, George Tucker, Jan Chorowski, et al. · arXiv:1701.06548 - [Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging](https://md.research.elamur.ai/free/en/papers/reimers-2017-reporting-score-distributions-makes-difference/) — Nils Reimers, Iryna Gurevych · Proceedings of the 2017 Conference on Empirical… - [Results of the WMT17 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/bojar-2017-results-wmt17-metrics-shared-task/) — Ondřej Bojar, Yvette Graham, Amir Kamran · Proceedings of the Second Conference on Machine… - [Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition](https://md.research.elamur.ai/free/en/papers/derczynski-2017-results-wnut2017-shared-task-novel/) — Leon Derczynski, Eric Nichols, Marieke van Erp, et al. · Proceedings of the 3rd Workshop on Noisy… - [Revisiting Selectional Preferences for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/heinzerling-2017-revisiting-selectional-preferences-coreference-resolution/) — Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube · Proceedings of the 2017 Conference on Empirical… - [Revisiting the ISO standard for dialogue act annotation](https://md.research.elamur.ai/free/en/papers/bunt-2017-revisiting-iso-standard-dialogue-act/) — Harry Bunt, Volha Petukhova, Alex Chengyu Fang · English - [RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation](https://md.research.elamur.ai/free/en/papers/gruzitis-2017-rigotrio-semeval-2017-task-9/) — Normunds Gruzitis, Didzis Gosko, Guntis Barzdins · Machine translation - [Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts](https://md.research.elamur.ai/free/en/papers/chen-2017-robust-coreference-resolution-entity-linking/) — Henry Y. Chen, Ethan Zhou, Jinho D. Choi · Proceedings of the 21st Conference on… - [Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation](https://md.research.elamur.ai/free/en/papers/peled-2017-sarcasm-sign-interpreting-sarcasm-sentiment/) — Lotem Peled, Roi Reichart · Proceedings of the 55th Annual Meeting of the… - [Search-based Neural Structured Learning for Sequential Question Answering](https://md.research.elamur.ai/free/en/papers/iyyer-2017-search-based-neural-structured-learning/) — Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang · Proceedings of the 55th Annual Meeting of the… - [SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine](https://md.research.elamur.ai/free/en/papers/dunn-2017-searchqa-new-q-dataset-augmented/) — Matthew Dunn, Levent Sagun, Mike Higgins, et al. · arXiv:1704.05179 - [SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications](https://md.research.elamur.ai/free/en/papers/augenstein-2017-semeval-2017-task-10-scienceie/) — Isabelle Augenstein, Mrinal Das, Sebastian Riedel, et al. · Proceedings of the 11th International Workshop… - [SemEval-2017 Task 4: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2017-semeval-2017-task-4-sentiment/) — Sara Rosenthal, Noura Farra, Preslav Nakov · Proceedings of the 11th International Workshop… - [SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours](https://md.research.elamur.ai/free/en/papers/derczynski-2017-semeval-2017-task-8-rumoureval/) — Leon Derczynski, Kalina Bontcheva, Maria Liakata, et al. · Proceedings of the 11th International Workshop… - [Semi-supervised sequence tagging with bidirectional language models](https://md.research.elamur.ai/free/en/papers/peters-2017-semi-supervised-sequence-tagging-bidirectional/) — Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, et al. · arXiv:1705.00108 - [Sentence Simplification with Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zhang-2017-sentence-simplification-deep-reinforcement-learning/) — Xingxing Zhang, Mirella Lapata · Proceedings of the 2017 Conference on Empirical… - [Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots](https://md.research.elamur.ai/free/en/papers/wu-2017-sequential-matching-network-new-architecture/) — Yu Wu, Wei Wu, Chen Xing, et al. · Proceedings of the 55th Annual Meeting of the… - [Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models](https://md.research.elamur.ai/free/en/papers/jhamtani-2017-shakespearizing-modern-language-copy-enriched/) — Harsh Jhamtani, Varun Gangal, Eduard Hovy, et al. · Machine translation - [Simple and Effective Multi-Paragraph Reading Comprehension](https://md.research.elamur.ai/free/en/papers/clark-2017-simple-effective-multi-paragraph-reading/) — Christopher Clark, Matt Gardner · arXiv:1710.10723 - [Social Bias in Elicited Natural Language Inferences](https://md.research.elamur.ai/free/en/papers/rudinger-2017-social-bias-elicited-natural-language/) — Rachel Rudinger, Chandler May, Benjamin Van Durme · Proceedings of the First ACL Workshop on Ethics… - [Speech Recognition Challenge in the Wild: Arabic MGB-3](https://md.research.elamur.ai/free/en/papers/ali-2017-speech-recognition-challenge-wild-arabic/) — Ahmed Ali, Stephan Vogel, Steve Renals · arXiv:1709.07276 - [Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task](https://md.research.elamur.ai/free/en/papers/ud-2017-dozat-stanford-s-graph-based-neural/) — Timothy Dozat, Peng Qi, Christopher D. Manning · English - [Stronger Baselines for Trustable Results in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/denkowski-2017-stronger-baselines-trustable-results-neural/) — Michael Denkowski, Graham Neubig · Proceedings of the First Workshop on Neural… - [Style Transfer from Non-Parallel Text by Cross-Alignment](https://md.research.elamur.ai/free/en/papers/shen-2017-style-transfer-non-parallel-text/) — Tianxiao Shen, Tao Lei, Regina Barzilay, et al. · Machine translation - [Style Transfer in Text: Exploration and Evaluation](https://md.research.elamur.ai/free/en/papers/fu-2017-style-transfer-text-exploration-evaluation/) — Zhenxin Fu, Xiaoye Tan, Nanyun Peng, et al. · arXiv:1711.06861 - [Stylometry in Computer-Assisted Translation: Experiments on the Babylonian Talmud](https://md.research.elamur.ai/free/en/papers/aclbulk-2017-giovannetti-stylometry-computer-assisted-translation-experiments/) — Emiliano Giovannetti, Davide Albanesi, Andrea Bellandi, et al. · Ancient Hebrew - [Supervised Learning of Universal Sentence Representations from Natural Language Inference Data](https://md.research.elamur.ai/free/en/papers/conneau-2017-supervised-learning-universal-sentence-representations/) — Alexis Conneau, Douwe Kiela, Holger Schwenk, et al. · Proceedings of the 2017 Conference on Empirical… - [Surprisal and Satisfaction: Towards an Information-theoretic Characterization of Presuppositions with a Diachronic Application](https://md.research.elamur.ai/free/en/papers/gergel-2017-surprisal-satisfaction-information-theoretic-characterization/) — Remus Gergel, Martin Kopf-Giammanco, Julia Masloh · English - [Survey: Multiword Expression Processing: A Survey](https://md.research.elamur.ai/free/en/papers/constant-2017-survey-multiword-expression-processing-survey/) — Mathieu Constant, Gülşen Eryiǧit, Johanna Monti, et al. · Research library - [Swedish Prepositions are not Pure Function Words](https://md.research.elamur.ai/free/en/papers/ahrenberg-2017-swedish-prepositions-are-not-pure/) — Lars Ahrenberg · Proceedings of the NoDaLiDa 2017 Workshop on… - [TEI-Lex0 Guidelines for the Encoding of Dictionary Information on Written and Spoken Forms](https://md.research.elamur.ai/free/en/papers/banski-2017-tei-lex0-forms/) — Piotr Bański, Jack Bowers, Tomaž Erjavec · eLex 2017 (Leiden), pp. 485–494 - [Temporal@ODIL project: Adapting ISO-TimeML to syntactic treebanks for the temporal annotation of spoken speech](https://md.research.elamur.ai/free/en/papers/antoine-2017-temporal-odil-project-adapting-iso/) — Jean-Yves Antoine, Jakub Wasczuk, Anaïs Lefeuvre-Haftermeyer, et al. · Proceedings of the 13th Joint ISO-ACL Workshop… - [Tensor Fusion Network for Multimodal Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/zadeh-2017-tensor-fusion-network-multimodal-sentiment/) — Amir Zadeh, Minghai Chen, Soujanya Poria, et al. · Proceedings of the 2017 Conference on Empirical… - [The Corpus as Tutor: Data-driven Persuasive Language Learning](https://md.research.elamur.ai/free/en/papers/hbo-2017-winther-nielsen-corpus-tutor-data-driven-persuasive/) — Nicolai Winther-Nielsen · Ancient Hebrew - [The E2E Dataset: New Challenges For End-to-End Generation](https://md.research.elamur.ai/free/en/papers/novikova-2017-e2e-dataset-new-challenges-end/) — Jekaterina Novikova, Ondřej Dušek, Verena Rieser · Proceedings of the 18th Annual SIGdial Meeting… - [The Good, the Bad, and the Disagreement: Complex ground truth in rhetorical structure analysis](https://md.research.elamur.ai/free/en/papers/das-2017-good-bad-disagreement-complex-ground/) — Debopam Das, Manfred Stede, Maite Taboada · Proceedings of the 6th Workshop on Recent… - [The lexical pragmatics of count-mass polysemy](https://md.research.elamur.ai/free/en/papers/falkum-2017-lexical-pragmatics-count-mass-polysemy/) — Ingrid L. Falkum · English - [The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations](https://md.research.elamur.ai/free/en/papers/abzianidze-2017-parallel-meaning-bank-multilingual-corpus/) — Lasha Abzianidze, Johannes Bjerva, Kilian Evang, et al. · Machine translation - [The PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions](https://md.research.elamur.ai/free/en/papers/savary-2017-parseme-shared-task-automatic-identification/) — Agata Savary, Carlos Ramisch, Silvio Cordeiro, et al. · Proceedings of the 13th Workshop on Multiword… - [The Pragmatics of Indirect Commands in Collaborative Discourse](https://md.research.elamur.ai/free/en/papers/lamm-2017-pragmatics-indirect-commands-collaborative-discourse/) — Matthew Lamm, Mihail Eric · English - [The Role of Conversation Context for Sarcasm Detection in Online Interactions](https://md.research.elamur.ai/free/en/papers/ghosh-2017-role-conversation-context-sarcasm-detection/) — Debanjan Ghosh, Alexander Richard Fabbri, Smaranda Muresan · Proceedings of the 18th Annual SIGdial Meeting… - [The translation technique and the translation of verbal forms in Psalm 84 of the Masoretic Text as employed by the Peshitta](https://md.research.elamur.ai/free/en/papers/moretsi-2017-translation-technique-translation-verbal-forms/) — Lekgetho H. Moretsi · In die Skriflig 51 - [The University of Edinburgh's Neural MT Systems for WMT17](https://md.research.elamur.ai/free/en/papers/sennrich-2017-university-edinburgh-s-neural-mt/) — Rico Sennrich, Alexandra Birch, Anna Currey, et al. · Proceedings of the Second Conference on Machine… - [The verse of Gen 1, 1: a subordinate or principal clause? A contribution to the discussion on the syntax of the first sentence of the Hebrew Bible](https://md.research.elamur.ai/free/en/papers/hbo-2017-dzikiewicz-verse-gen-1-1-subordinate/) — Daniel Dzikiewicz · Ancient Hebrew - [The WebNLG Challenge: Generating Text from RDF Data](https://md.research.elamur.ai/free/en/papers/gardent-2017-webnlg-challenge-generating-text-rdf/) — Claire Gardent, Anastasia Shimorina, Shashi Narayan, et al. · Machine translation - [TL;DR: Mining Reddit to Learn Automatic Summarization](https://md.research.elamur.ai/free/en/papers/volske-2017-tl-dr-mining-reddit-learn/) — Michael Völske, Martin Potthast, Shahbaz Syed, et al. · Proceedings of the Workshop on New Frontiers in… - [Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe](https://md.research.elamur.ai/free/en/papers/ud-2017-straka-tokenizing-pos-tagging-lemmatizing-parsing/) — Milan Straka, Jana Straková · English - [Toward Controlled Generation of Text](https://md.research.elamur.ai/free/en/papers/hu-2017-toward-controlled-generation-text/) — Zhiting Hu, Zichao Yang, Xiaodan Liang, et al. · arXiv:1703.00955 - [Towards A Rigorous Science of Interpretable Machine Learning](https://md.research.elamur.ai/free/en/papers/doshi-2017-velez-towards-rigorous-science-interpretable-machine/) — Finale Doshi-Velez, Been Kim · arXiv:1702.08608 - [Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses](https://md.research.elamur.ai/free/en/papers/lowe-2017-towards-automatic-turing-test-learning/) — Ryan Lowe, Michael Noseworthy, Iulian V. Serban, et al. · arXiv:1708.07149 · Proceedings of the 55th… - [Towards Deep Learning Models Resistant to Adversarial Attacks](https://md.research.elamur.ai/free/en/papers/madry-2017-towards-deep-learning-models-resistant/) — Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, et al. · arXiv:1706.06083 - [Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access](https://md.research.elamur.ai/free/en/papers/dhingra-2017-end-end-reinforcement-learning-dialogue/) — Bhuwan Dhingra, Lihong Li, Xiujun Li, et al. · Proceedings of the 55th Annual Meeting of the… - [Towards Full Text Shallow Discourse Relation Annotation: Experiments with Cross-Paragraph Implicit Relations in the PDTB](https://md.research.elamur.ai/free/en/papers/prasad-2017-full-text-shallow-discourse-relation/) — Rashmi Prasad, Katherine Forbes Riley, Alan Lee · Proceedings of the 18th Annual SIGdial Meeting… - [Towards String-To-Tree Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/aharoni-2017-string-tree-neural-machine-translation/) — Roee Aharoni, Yoav Goldberg · Proceedings of the 55th Annual Meeting of the… - [Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/nguyen-2017-transfer-learning-across-low-resource/) — Toan Q. 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