--- title: "Papers of 2016 — page 1" 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/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2016/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2016 # Papers of 2016 — page 1 331 papers · [all years](https://md.research.elamur.ai/free/en/papers/) **1** [2](https://md.research.elamur.ai/free/en/papers/2016/page/2/) [3](https://md.research.elamur.ai/free/en/papers/2016/page/3/) [4](https://md.research.elamur.ai/free/en/papers/2016/page/4/) [next →](https://md.research.elamur.ai/free/en/papers/2016/page/2/) - ["Why Should I Trust You?": Explaining the Predictions of Any Classifier](https://md.research.elamur.ai/free/en/papers/ribeiro-2016-why-should-i-trust-explaining/) — Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin · arXiv:1602.04938 - [A Character-level Decoder without Explicit Segmentation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/chung-2016-character-level-decoder-without-explicit/) — Junyoung Chung, Kyunghyun Cho, Yoshua Bengio · Proceedings of the 54th Annual Meeting of the… - [A Constituent Syntactic Parse Tree Based Discourse Parser](https://md.research.elamur.ai/free/en/papers/li-2016-constituent-syntactic-parse-tree-based/) — Zhongyi Li, Hai Zhao, Chenxi Pang, et al. · Proceedings of the CoNLL-16 shared task - [A Corpus of Preposition Supersenses](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-schneider-corpus-preposition-supersenses/) — Nathan Schneider, Jena D. Hwang, Vivek Srikumar, et al. · English - [A Decomposable Attention Model for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/parikh-2016-decomposable-attention-model-natural-language/) — Ankur Parikh, Oscar Täckström, Dipanjan Das, et al. · Proceedings of the 2016 Conference on Empirical… - [A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/poria-2016-deeper-look-into-sarcastic-tweets/) — Soujanya Poria, Erik Cambria, Devamanyu Hazarika, et al. · Proceedings of COLING 2016, the 26th… - [A Diagram Is Worth A Dozen Images](https://md.research.elamur.ai/free/en/papers/kembhavi-2016-diagram-worth-dozen-images/) — Aniruddha Kembhavi, Mike Salvato, Eric Kolve, et al. · arXiv:1603.07396 - [A Diversity-Promoting Objective Function for Neural Conversation Models](https://md.research.elamur.ai/free/en/papers/li-2016-diversity-promoting-objective-function-neural/) — Jiwei Li, Michel Galley, Chris Brockett, et al. · Proceedings of the 2016 Conference of the North… - [A functional profile of Left Dislocation in Biblical Hebrew](https://md.research.elamur.ai/free/en/papers/hbo-2016-westbury-functional-profile-left-dislocation-biblical/) — Josh Westbury · Ancient Hebrew - [A Gold Standard for Scalar Adjectives](https://md.research.elamur.ai/free/en/papers/wilkinson-2016-gold-standard-scalar-adjectives/) — Bryan Wilkinson, Tim Oates · English - [A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues](https://md.research.elamur.ai/free/en/papers/serban-2016-hierarchical-latent-variable-encoder-decoder/) — Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, et al. · arXiv:1605.06069 - [A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks](https://md.research.elamur.ai/free/en/papers/hashimoto-2016-joint-many-task-model-growing/) — Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, et al. · arXiv:1611.01587 - [A Language-Independent Neural Network for Event Detection](https://md.research.elamur.ai/free/en/papers/feng-2016-language-independent-neural-network-event/) — Xiaocheng Feng, Lifu Huang, Duyu Tang, et al. · Proceedings of the 54th Annual Meeting of the… - [A Latent Variable Model Approach to PMI-based Word Embeddings](https://md.research.elamur.ai/free/en/papers/arora-2016-latent-variable-model-approach-pmi/) — Sanjeev Arora, Yuanzhi Li, Yingyu Liang, et al. · Transactions of the Association for… - [A Lexical Resource of Hebrew Verb-Noun Multi-Word Expressions](https://md.research.elamur.ai/free/en/papers/lingbulk-2016-liebeskind-lexical-resource-hebrew-verb-noun/) — Chaya Liebeskind, Yaakov HaCohen-Kerner · Modern Hebrew - [A Neural Approach to Automated Essay Scoring](https://md.research.elamur.ai/free/en/papers/taghipour-2016-neural-approach-automated-essay-scoring/) — Kaveh Taghipour, Hwee Tou Ng · Proceedings of the 2016 Conference on Empirical… - [A Neural Model for Part-of-Speech Tagging in Historical Texts](https://md.research.elamur.ai/free/en/papers/hardmeier-2016-neural-model-part-speech-tagging/) — Christian Hardmeier · English - [A Persona-Based Neural Conversation Model](https://md.research.elamur.ai/free/en/papers/li-2016-persona-based-neural-conversation-model/) — Jiwei Li, Michel Galley, Chris Brockett, et al. · arXiv:1603.06155 - [A research about the effect of Targums (Aramaics Old Testament) on religious literature of Hebrew-Persian](https://md.research.elamur.ai/free/en/papers/noruzi-2016-research-about-effect-targums-aramaics/) — Hamed Noruzi, kolsoom ghorbani jooybari · ادبیات تطبیقی 8 - [A Shared Task on Multimodal Machine Translation and Crosslingual Image Description](https://md.research.elamur.ai/free/en/papers/specia-2016-shared-task-multimodal-machine-translation/) — Lucia Specia, Stella Frank, Khalil Sima'an, et al. · Proceedings of the First Conference on Machine… - [A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/qin-2016-stacking-gated-neural-architecture-implicit/) — Lianhui Qin, Zhisong Zhang, Hai Zhao · Proceedings of the 2016 Conference on Empirical… - [A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task](https://md.research.elamur.ai/free/en/papers/chen-2016-thorough-examination-cnn-daily-mail/) — Danqi Chen, Jason Bolton, Christopher D. Manning · arXiv:1606.02858 - [ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs](https://md.research.elamur.ai/free/en/papers/yin-2016-abcnn-attention-based-convolutional-neural/) — Wenpeng Yin, Hinrich Schütze, Bing Xiang, et al. · Transactions of the Association for… - [Abstract Coreference in a Multilingual Perspective: a View on Czech and German](https://md.research.elamur.ai/free/en/papers/nedoluzhko-2016-abstract-coreference-multilingual-perspective-view/) — Anna Nedoluzhko, Ekaterina Lapshinova-Koltunski · Proceedings of the Workshop on Coreference… - [Abstractive Sentence Summarization with Attentive Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/chopra-2016-abstractive-sentence-summarization-attentive-recurrent/) — Sumit Chopra, Michael Auli, Alexander M. Rush · Proceedings of the 2016 Conference of the North… - [Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models](https://md.research.elamur.ai/free/en/papers/luong-2016-achieving-open-vocabulary-neural-machine/) — Minh-Thang Luong, Christopher D. Manning · Proceedings of the 54th Annual Meeting of the… - [Adapting Event Embedding for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/pacheco-2016-adapting-event-embedding-implicit-discourse/) — Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, et al. · Proceedings of the CoNLL-16 shared task - [Adversarial Training Methods for Semi-Supervised Text Classification](https://md.research.elamur.ai/free/en/papers/miyato-2016-adversarial-training-methods-semi-supervised/) — Takeru Miyato, Andrew M. Dai, Ian Goodfellow · arXiv:1605.07725 - [AMR Parsing with an Incremental Joint Model](https://md.research.elamur.ai/free/en/papers/zhou-2016-amr-parsing-incremental-joint-model/) — Junsheng Zhou, Feiyu Xu, Hans Uszkoreit, et al. · Proceedings of the 2016 Conference on Empirical… - [An Actor-Critic Algorithm for Sequence Prediction](https://md.research.elamur.ai/free/en/papers/bahdanau-2016-actor-critic-algorithm-sequence-prediction/) — Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, et al. · arXiv:1607.07086 - [An Alternative Approach to the Lexicon of Late Biblical Hebrew](https://md.research.elamur.ai/free/en/papers/hbo-2016-rezetko-alternative-approach-lexicon-late-biblical/) — Robert Rezetko, Martijn Naaijer · Ancient Hebrew - [An Arabic-Hebrew parallel corpus of TED talks](https://md.research.elamur.ai/free/en/papers/langstream-2016-cettolo-arabic-hebrew-parallel-corpus-ted/) — Mauro Cettolo · Modern Hebrew - [An Empirical Analysis of Formality in Online Communication](https://md.research.elamur.ai/free/en/papers/pavlick-2016-empirical-analysis-formality-online-communication/) — Ellie Pavlick, Joel Tetreault · Machine translation - [An Evaluation of Parser Robustness for Ungrammatical Sentences](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-hashemi-evaluation-parser-robustness-ungrammatical-sentences/) — Homa B. Hashemi, Rebecca Hwa · English - [Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't.](https://md.research.elamur.ai/free/en/papers/gladkova-2016-analogy-based-detection-morphological-semantic/) — Anna Gladkova, Aleksandr Drozd, Satoshi Matsuoka · Proceedings of the NAACL Student Research… - [Analyzing lexical emergence in Modern American English online](https://md.research.elamur.ai/free/en/papers/lex-2016-grieve-lexical-emergence-american-english/) — Jack Grieve, Andrea Nini, Diansheng Guo · English - [Analyzing the Behavior of Visual Question Answering Models](https://md.research.elamur.ai/free/en/papers/agrawal-2016-analyzing-behavior-visual-question-answering/) — Aishwarya Agrawal, Dhruv Batra, Devi Parikh · Proceedings of the 2016 Conference on Empirical… - [Anaphoricity in Connectives: A Case Study on German](https://md.research.elamur.ai/free/en/papers/stede-2016-anaphoricity-connectives-case-study-german/) — Manfred Stede, Yulia Grishina · Proceedings of the Workshop on Coreference… - [Annotating Discourse Relations in Spoken Language: A Comparison of the PDTB and CCR Frameworks](https://md.research.elamur.ai/free/en/papers/rehbein-2016-annotating-discourse-relations-spoken-language/) — Ines Rehbein, Merel Scholman, Vera Demberg · Proceedings of the Tenth International… - [Annotating Sentiment and Irony in the Online Italian Political Debate on #labuonascuola](https://md.research.elamur.ai/free/en/papers/stranisci-2016-annotating-sentiment-irony-online-italian/) — Marco Stranisci, Cristina Bosco, Delia Irazú Hernández Farías, et al. · Proceedings of the Tenth International… - [Antecedent Selection for Sluicing: Structure and Content](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-anand-antecedent-selection-sluicing-structure-content/) — Pranav Anand, Daniel Hardt · English - [Anticausatives are semantically reflexive in Norwegian, but not in English](https://md.research.elamur.ai/free/en/papers/lundquist-2016-anticausatives-are-semantically-reflexive-norwegian/) — Björn Lundquist, Martin Corley, Mai Tungseth, et al. · English - [Apertium: a free/open source platform for machine translation and basic language technology](https://md.research.elamur.ai/free/en/papers/forcada-2016-apertium-free-open-source-platform/) — Mikel L. Forcada, Francis M. Tyers · Machine translation - [Applying the Cognitive Machine Translation Evaluation Approach to Arabic](https://md.research.elamur.ai/free/en/papers/temnikova-2016-applying-cognitive-machine-translation-evaluation/) — Irina Temnikova, Wajdi Zaghouani, Stephan Vogel, et al. · Proceedings of the Tenth International… - [Approaching the mountain of Exodus 19: thou shalt explore syntax first](https://md.research.elamur.ai/free/en/papers/hbo-2016-talstra-approaching-mountain-exodus-19-thou/) — Eep Talstra · Ancient Hebrew - [Are Word Embedding-based Features Useful for Sarcasm Detection?](https://md.research.elamur.ai/free/en/papers/joshi-2016-are-word-embedding-based-features/) — Aditya Joshi, Vaibhav Tripathi, Kevin Patel, et al. · Proceedings of the 2016 Conference on Empirical… - [Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on Twitter](https://md.research.elamur.ai/free/en/papers/waseem-2016-are-you-racist-or-am/) — Zeerak Waseem · Proceedings of the First Workshop on NLP and… - [ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions](https://md.research.elamur.ai/free/en/papers/uryupina-2016-arrau-linguistically-motivated-annotation-anaphoric/) — Olga Uryupina, Ron Artstein, Antonella Bristot, et al. · English - [ASPEC: Asian Scientific Paper Excerpt Corpus](https://md.research.elamur.ai/free/en/papers/nakazawa-2016-aspec-asian-scientific-paper-excerpt/) — Toshiaki Nakazawa, Manabu Yaguchi, Kiyotaka Uchimoto, et al. · Proceedings of the Tenth International… - [Aspect Level Sentiment Classification with Deep Memory Network](https://md.research.elamur.ai/free/en/papers/tang-2016-aspect-level-sentiment-classification-deep/) — Duyu Tang, Bing Qin, Ting Liu · Proceedings of the 2016 Conference on Empirical… - [Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies](https://md.research.elamur.ai/free/en/papers/linzen-2016-assessing-ability-lstms-learn-syntax/) — Tal Linzen, Emmanuel Dupoux, Yoav Goldberg · Research library - [Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification](https://md.research.elamur.ai/free/en/papers/zhou-2016-attention-based-bidirectional-long-short/) — Peng Zhou, Wei Shi, Jun Tian, et al. · Proceedings of the 54th Annual Meeting of the… - [Attention-based LSTM for Aspect-level Sentiment Classification](https://md.research.elamur.ai/free/en/papers/wang-2016-attention-based-lstm-aspect-level/) — Yequan Wang, Minlie Huang, Xiaoyan Zhu, et al. · Proceedings of the 2016 Conference on Empirical… - [Attention-based Multimodal Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/huang-2016-attention-based-multimodal-neural-machine/) — Po-Yao Huang, Frederick Liu, Sz-Rung Shiang, et al. · Proceedings of the First Conference on Machine… - [Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation](https://md.research.elamur.ai/free/en/papers/jiang-2016-automatic-cross-lingual-similarization-dependency/) — Wenbin Jiang, Wen Zhang, Jinan Xu, et al. · Machine translation - [Automatic Sarcasm Detection: A Survey](https://md.research.elamur.ai/free/en/papers/joshi-2016-automatic-sarcasm-detection-survey/) — Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman · arXiv:1602.03426 - [Automatic Text Scoring Using Neural Networks](https://md.research.elamur.ai/free/en/papers/alikaniotis-2016-automatic-text-scoring-neural-networks/) — Dimitrios Alikaniotis, Helen Yannakoudakis, Marek Rei · Proceedings of the 54th Annual Meeting of the… - [BCCWJ-DepPara: A Syntactic Annotation Treebank on the ‘Balanced Corpus of Contemporary Written Japanese'](https://md.research.elamur.ai/free/en/papers/asahara-2016-bccwj-deppara-syntactic-annotation-treebank/) — Masayuki Asahara, Yuji Matsumoto · Proceedings of the 12th Workshop on Asian… - [Beyond Identity Coreference: Contrasting Indicators of Textual Coherence in English and German](https://md.research.elamur.ai/free/en/papers/kunz-2016-beyond-identity-coreference-contrasting-indicators/) — Kerstin Kunz, Ekaterina Lapshinova-Koltunski, José Manuel Martínez · English - [Bidirectional Attention Flow for Machine Comprehension](https://md.research.elamur.ai/free/en/papers/seo-2016-bidirectional-attention-flow-machine-comprehension/) — Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, et al. · arXiv:1611.01603 - [Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/wu-2016-bilingually-constrained-synthetic-data-implicit/) — Changxing Wu, Xiaodong Shi, Yidong Chen, et al. · Proceedings of the 2016 Conference on Empirical… - [Black Holes and White Rabbits: Metaphor Identification with Visual Features](https://md.research.elamur.ai/free/en/papers/shutova-2016-black-holes-white-rabbits-metaphor/) — Ekaterina Shutova, Douwe Kiela, Jean Maillard · Proceedings of the 2016 Conference of the North… - [Bridging Corpus for Russian in comparison with Czech](https://md.research.elamur.ai/free/en/papers/roitberg-2016-bridging-corpus-russian-comparison-czech/) — Anna Roitberg, Anna Nedoluzhko · Proceedings of the Workshop on Coreference… - [CamelParser: A system for Arabic Syntactic Analysis and Morphological Disambiguation](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-shahrour-camelparser-system-arabic-syntactic-analysis/) — Anas Shahrour, Salam Khalifa, Dima Taji, et al. · Semitic languages - [CAMR at SemEval-2016 Task 8: An Extended Transition-based AMR Parser](https://md.research.elamur.ai/free/en/papers/wang-2016-camr-semeval-2016-task-8/) — Chuan Wang, Sameer Pradhan, Xiaoman Pan, et al. · Proceedings of the 10th International Workshop… - [Categorical Reparameterization with Gumbel-Softmax](https://md.research.elamur.ai/free/en/papers/jang-2016-categorical-reparameterization-gumbel-softmax/) — Eric Jang, Shixiang Gu, Ben Poole · arXiv:1611.01144 - [Categories of coherence relations in discourse annotation](https://md.research.elamur.ai/free/en/papers/scholman-2016-categories-coherence-relations-discourse-annotation/) — Merel C.J. Scholman, Jacqueline Evers-Vermeul, Ted J.M. Sanders · English - [Character-based Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/jussa-2016-character-based-neural-machine-translation/) — Marta R. Costa-jussà, José A. R. Fonollosa · Proceedings of the 54th Annual Meeting of the… - [CharacTer: Translation Edit Rate on Character Level](https://md.research.elamur.ai/free/en/papers/wang-2016-character-translation-edit-rate-character/) — Weiyue Wang, Jan-Thorsten Peter, Hendrik Rosendahl, et al. · Machine translation - [Chinese Zero Pronoun Resolution with Deep Neural Networks](https://md.research.elamur.ai/free/en/papers/chen-2016-chinese-zero-pronoun-resolution-deep/) — Chen Chen, Vincent Ng · Proceedings of the 54th Annual Meeting of the… - [chrF deconstructed: beta parameters and n-gram weights](https://md.research.elamur.ai/free/en/papers/popovic-2016-chrf-deconstructed-beta-parameters-n/) — Maja Popović · Machine translation - [CILI: the Collaborative Interlingual Index](https://md.research.elamur.ai/free/en/papers/bond-2016-cili-collaborative-interlingual-index/) — Francis Bond, Piek Vossen, John P. McCrae, et al. · Machine translation - [CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning](https://md.research.elamur.ai/free/en/papers/johnson-2016-clevr-diagnostic-dataset-compositional-language/) — Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al. · arXiv:1612.06890 - [Comprehensive and Consistent PropBank Light Verb Annotation](https://md.research.elamur.ai/free/en/papers/bonial-2016-comprehensive-consistent-propbank-light-verb/) — Claire Bonial, Martha Palmer · English - [Concrete Problems in AI Safety](https://md.research.elamur.ai/free/en/papers/amodei-2016-concrete-problems-ai-safety/) — Dario Amodei, Chris Olah, Jacob Steinhardt, et al. · arXiv:1606.06565 - [CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing](https://md.research.elamur.ai/free/en/papers/xue-2016-conll-2016-shared-task-multilingual/) — Nianwen Xue, Hwee Tou Ng, Sameer Pradhan, et al. · English - [Construction of an English Dependency Corpus incorporating Compound Function Words](https://md.research.elamur.ai/free/en/papers/gram-2016-kato-construction-english-dependency-corpus-incorporating/) — Akihiko Kato, Hiroyuki Shindo, Yuji Matsumoto · English - [context2vec: Learning Generic Context Embedding with Bidirectional LSTM](https://md.research.elamur.ai/free/en/papers/melamud-2016-context2vec-learning-generic-context-embedding/) — Oren Melamud, Jacob Goldberger, Ido Dagan · Proceedings of the 20th SIGNLL Conference on… - [Controlling Output Length in Neural Encoder-Decoders](https://md.research.elamur.ai/free/en/papers/kikuchi-2016-controlling-output-length-neural-encoder/) — Yuta Kikuchi, Graham Neubig, Ryohei Sasano, et al. · Proceedings of the 2016 Conference on Empirical… - [Controlling Politeness in Neural Machine Translation via Side Constraints](https://md.research.elamur.ai/free/en/papers/sennrich-2016-controlling-politeness-neural-machine-translation/) — Rico Sennrich, Barry Haddow, Alexandra Birch · Proceedings of the 2016 Conference of the North… - [Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering](https://md.research.elamur.ai/free/en/papers/defferrard-2016-convolutional-neural-networks-graphs-fast/) — Michael Defferrard, Xavier Bresson, Pierre Vandergheynst · arXiv:1606.09375 · Advances in Neural… - [Coreference Annotation Scheme and Relation Types for Hindi](https://md.research.elamur.ai/free/en/papers/mujadia-2016-coreference-annotation-scheme-relation-types/) — Vandan Mujadia, Palash Gupta, Dipti Misra Sharma · Proceedings of the Tenth International… - [Coreference in Prague Czech-English Dependency Treebank](https://md.research.elamur.ai/free/en/papers/nedoluzhko-2016-coreference-prague-czech-english-dependency/) — Anna Nedoluzhko, Michal Novák, Silvie Cinková, et al. · Proceedings of the Tenth International… - [Coreference in Wikipedia: Main Concept Resolution](https://md.research.elamur.ai/free/en/papers/ghaddar-2016-coreference-wikipedia-main-concept-resolution/) — Abbas Ghaddar, Phillippe Langlais · Proceedings of the 20th SIGNLL Conference on… - [Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue](https://md.research.elamur.ai/free/en/papers/oraby-2016-creating-characterizing-diverse-corpus-sarcasm/) — Shereen Oraby, Vrindavan Harrison, Lena Reed, et al. · English - [Creating Annotated Dialogue Resources: Cross-domain Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/amanova-2016-creating-annotated-dialogue-resources-cross/) — Dilafruz Amanova, Volha Petukhova, Dietrich Klakow · Proceedings of the Tenth International… - [Creating Linked Data Morphological Language Resources with MMoOn - The Hebrew Morpheme Inventory](https://md.research.elamur.ai/free/en/papers/lingbulk-2016-klimek-creating-linked-data-morphological-language/) — Bettina Klimek, Natanael Arndt, Sebastian Krause, et al. · Ancient Hebrew - [Cross-lingual and Supervised Models for Morphosyntactic Annotation: a Comparison on Romanian](https://md.research.elamur.ai/free/en/papers/aufrant-2016-cross-lingual-supervised-models-morphosyntactic/) — Lauriane Aufrant, Guillaume Wisniewski, François Yvon · Proceedings of the Tenth International… - [Crowdsourced Corpus with Entity Salience Annotations](https://md.research.elamur.ai/free/en/papers/dojchinovski-2016-crowdsourced-corpus-entity-salience-annotations/) — Milan Dojchinovski, Dinesh Reddy, Tomáš Kliegr, et al. · Proceedings of the Tenth International… - [Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change](https://md.research.elamur.ai/free/en/papers/hamilton-2016-cultural-shift-or-linguistic-drift/) — William L. Hamilton, Jure Leskovec, Dan Jurafsky · Proceedings of the 2016 Conference on Empirical… - [Deep Biaffine Attention for Neural Dependency Parsing](https://md.research.elamur.ai/free/en/papers/missing-2016-dozat-deep-biaffine-attention-neural-dependency/) — Timothy Dozat, Christopher D. Manning · English - [Deep multi-task learning with low level tasks supervised at lower layers](https://md.research.elamur.ai/free/en/papers/sogaard-2016-deep-multi-task-learning-low/) — Anders Søgaard, Yoav Goldberg · Proceedings of the 54th Annual Meeting of the… - [Deep Reinforcement Learning for Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2016-deep-reinforcement-learning-dialogue-generation/) — Jiwei Li, Will Monroe, Alan Ritter, et al. · arXiv:1606.01541 - [Deep Reinforcement Learning for Mention-Ranking Coreference Models](https://md.research.elamur.ai/free/en/papers/clark-2016-deep-reinforcement-learning-mention-ranking/) — Kevin Clark, Christopher D. Manning · Proceedings of the 2016 Conference on Empirical… - [Demographic Dialectal Variation in Social Media: A Case Study of African-American English](https://md.research.elamur.ai/free/en/papers/blodgett-2016-demographic-dialectal-variation-social-media/) — Su Lin Blodgett, Lisa Green, Brendan O'Connor · Proceedings of the 2016 Conference on Empirical… - [Detecting Sarcasm in Multimodal Social Platforms](https://md.research.elamur.ai/free/en/papers/schifanella-2016-detecting-sarcasm-multimodal-social-platforms/) — Rossano Schifanella, Paloma de Juan, Joel Tetreault, et al. · arXiv:1608.02289 - [Detection and Resolution of Verb Phrase Ellipsis](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-mcshane-detection-resolution-verb-phrase-ellipsis/) — Marjorie McShane, Petr Babkin · English - [Deterministic natural language generation from meaning representations for machine translation](https://md.research.elamur.ai/free/en/papers/butler-2016-deterministic-natural-language-generation-meaning/) — Alastair Butler · Machine translation - [Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change](https://md.research.elamur.ai/free/en/papers/hamilton-2016-diachronic-word-embeddings-reveal-statistical/) — William L. 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