---
title: "Papers of 2015 — page 1"
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/"
---
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# Papers of 2015 — page 1

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

**1** [2](https://md.research.elamur.ai/free/en/papers/2015/page/2/) [next →](https://md.research.elamur.ai/free/en/papers/2015/page/2/)

- [A Corpus and Model Integrating Multiword Expressions and Supersenses](https://md.research.elamur.ai/free/en/papers/missing-2015-schneider-corpus-model-integrating-multiword-expressions/) — Nathan Schneider, Noah A. Smith · English
- [A Critical Engagement with the Biblical Hebrew Verbal System Theories of John Cook and Jan Joosten by Applying Aspect Prominent Theory and Relative Tense Theory to Psalms 1–41](https://md.research.elamur.ai/free/en/papers/hbo-2015-dyck-critical-engagement-biblical-hebrew-verbal/) — Andrew W. Dyck · Ancient Hebrew
- [A Graph-based Lattice Dependency Parser for Joint Morphological Segmentation and Syntactic Analysis](https://md.research.elamur.ai/free/en/papers/tacl-2015-seeker-graph-based-lattice-dependency-parser/) — Wolfgang Seeker, Özlem Çetinoğlu · Modern Hebrew
- [A Hierarchy with, of, and for Preposition Supersenses](https://md.research.elamur.ai/free/en/papers/aclbulk-2015-schneider-hierarchy-preposition-supersenses/) — Nathan Schneider, Vivek Srikumar, Jena D. Hwang, et al. · English
- [A Joint Framework for Coreference Resolution and Mention Head Detection](https://md.research.elamur.ai/free/en/papers/peng-2015-joint-framework-coreference-resolution-mention/) — Haoruo Peng, Kai-Wei Chang, Dan Roth · Proceedings of the Nineteenth Conference on…
- [A Neural Conversational Model](https://md.research.elamur.ai/free/en/papers/vinyals-2015-neural-conversational-model/) — Oriol Vinyals, Quoc Le · arXiv:1506.05869
- [A Neural Network Approach to Context-Sensitive Generation of Conversational Responses](https://md.research.elamur.ai/free/en/papers/sordoni-2015-neural-network-approach-context-sensitive/) — Alessandro Sordoni, Michel Galley, Michael Auli, et al. · arXiv:1506.06714
- [A Refined End-to-End Discourse Parser](https://md.research.elamur.ai/free/en/papers/wang-2015-refined-end-end-discourse-parser/) — Jianxiang Wang, Man Lan · Proceedings of the Nineteenth Conference on…
- [A Theoretically Grounded Application of Dropout in Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/gal-2015-theoretically-grounded-application-dropout-recurrent/) — Yarin Gal, Zoubin Ghahramani · arXiv:1512.05287
- [Accurate Evaluation of Segment-level Machine Translation Metrics](https://md.research.elamur.ai/free/en/papers/graham-2015-accurate-evaluation-segment-level-machine/) — Yvette Graham, Timothy Baldwin, Nitika Mathur · Proceedings of the 2015 Conference of the North…
- [Addressing the Rare Word Problem in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/luong-2015-addressing-rare-word-problem-neural/) — Thang Luong, Ilya Sutskever, Quoc Le, et al. · Proceedings of the 53rd Annual Meeting of the…
- [Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books](https://md.research.elamur.ai/free/en/papers/zhu-2015-aligning-books-movies-towards-story/) — Yukun Zhu, Ryan Kiros, Richard Zemel, et al. · arXiv:1506.06724
- [An Improved Non-monotonic Transition System for Dependency Parsing](https://md.research.elamur.ai/free/en/papers/missing-2015-honnibal-improved-non-monotonic-transition-system/) — Matthew Honnibal, Mark Johnson · English
- [Annotating the Implicit Content of Sluices](https://md.research.elamur.ai/free/en/papers/aclbulk-2015-anand-annotating-implicit-content-sluices/) — Pranav Anand, Jim McCloskey · English
- [Arabic Diacritization with Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/aclbulk-2015-belinkov-arabic-diacritization-recurrent-neural-networks/) — Yonatan Belinkov, James Glass · Semitic languages
- [Ask Me Anything: Dynamic Memory Networks for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/kumar-2015-ask-me-anything-dynamic-memory/) — Ankit Kumar, Ozan Irsoy, Peter Ondruska, et al. · arXiv:1506.07285
- [ASTD: Arabic Sentiment Tweets Dataset](https://md.research.elamur.ai/free/en/papers/nabil-2015-astd-arabic-sentiment-tweets-dataset/) — Mahmoud Nabil, Mohamed Aly, Amir Atiya · Proceedings of the 2015 Conference on Empirical…
- [Attention-Based Models for Speech Recognition](https://md.research.elamur.ai/free/en/papers/chorowski-2015-attention-based-models-speech-recognition/) — Jan Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, et al. · arXiv:1506.07503
- [Better Document-level Sentiment Analysis from RST Discourse Parsing](https://md.research.elamur.ai/free/en/papers/bhatia-2015-better-document-level-sentiment-analysis/) — Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein · Proceedings of the 2015 Conference on Empirical…
- [Bidirectional LSTM-CRF Models for Sequence Tagging](https://md.research.elamur.ai/free/en/papers/huang-2015-bidirectional-lstm-crf-models-sequence/) — Zhiheng Huang, Wei Xu, Kai Yu · arXiv:1508.01991
- [Bilingual Word Representations with Monolingual Quality in Mind](https://md.research.elamur.ai/free/en/papers/luong-2015-bilingual-word-representations-monolingual-quality/) — Thang Luong, Hieu Pham, Christopher D. Manning · Proceedings of the 1st Workshop on Vector Space…
- [Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers](https://md.research.elamur.ai/free/en/papers/wang-2015-boosting-transition-based-amr-parsing/) — Chuan Wang, Nianwen Xue, Sameer Pradhan · Proceedings of the 53rd Annual Meeting of the…
- [Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models](https://md.research.elamur.ai/free/en/papers/serban-2015-building-end-end-dialogue-systems/) — Iulian V. Serban, Alessandro Sordoni, Yoshua Bengio, et al. · arXiv:1507.04808
- [Character-Aware Neural Language Models](https://md.research.elamur.ai/free/en/papers/kim-2015-character-aware-neural-language-models/) — Yoon Kim, Yacine Jernite, David Sontag, et al. · arXiv:1508.06615
- [Character-level Convolutional Networks for Text Classification](https://md.research.elamur.ai/free/en/papers/zhang-2015-character-level-convolutional-networks-text/) — Xiang Zhang, Junbo Zhao, Yann LeCun · arXiv:1509.01626
- [Chinese Event Coreference Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers](https://md.research.elamur.ai/free/en/papers/chen-2015-chinese-event-coreference-resolution-unsupervised/) — Chen Chen, Vincent Ng · Proceedings of the 2015 Conference of the North…
- [Chinese Zero Pronoun Resolution: A Joint Unsupervised Discourse-Aware Model Rivaling State-of-the-Art Resolvers](https://md.research.elamur.ai/free/en/papers/chen-2015-chinese-zero-pronoun-resolution-joint/) — Chen Chen, Vincent Ng · Proceedings of the 53rd Annual Meeting of the…
- [chrF: character n-gram F-score for automatic MT evaluation](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/) — Maja Popović · Machine translation
- [Classifying Relations by Ranking with Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/santos-2015-classifying-relations-ranking-convolutional-neural/) — Cícero dos Santos, Bing Xiang, Bowen Zhou · Proceedings of the 53rd Annual Meeting of the…
- [Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths](https://md.research.elamur.ai/free/en/papers/xu-2015-classifying-relations-long-short-term/) — Yan Xu, Lili Mou, Ge Li, et al. · Proceedings of the 2015 Conference on Empirical…
- [Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations](https://md.research.elamur.ai/free/en/papers/ji-2015-closing-gap-domain-adaptation-explicit/) — Yangfeng Ji, Gongbo Zhang, Jacob Eisenstein · Proceedings of the 2015 Conference on Empirical…
- [CLPsych 2015 Shared Task: Depression and PTSD on Twitter](https://md.research.elamur.ai/free/en/papers/coppersmith-2015-clpsych-2015-shared-task-depression/) — Glen Coppersmith, Mark Dredze, Craig Harman, et al. · Proceedings of the 2nd Workshop on…
- [CODRA: A Novel Discriminative Framework for Rhetorical Analysis](https://md.research.elamur.ai/free/en/papers/joty-2015-codra-novel-discriminative-framework-rhetorical/) — Shafiq Joty, Giuseppe Carenini, Raymond T. Ng · Computational Linguistics
- [Combining Language and Vision with a Multimodal Skip-gram Model](https://md.research.elamur.ai/free/en/papers/lazaridou-2015-combining-language-vision-multimodal-skip/) — Angeliki Lazaridou, Nghia The Pham, Marco Baroni · Proceedings of the 2015 Conference of the North…
- [Committed Belief Tagging on the Factbank and LU Corpora: A Comparative Study](https://md.research.elamur.ai/free/en/papers/werner-2015-committed-belief-tagging-factbank-lu/) — Gregory Werner, Vinodkumar Prabhakaran, Mona Diab, et al. · English
- [Comparing Word Representations for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/braud-2015-comparing-word-representations-implicit-discourse/) — Chloé Braud, Pascal Denis · Proceedings of the 2015 Conference on Empirical…
- [Context-aware Frame-Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/roth-2015-context-aware-frame-semantic-role/) — Michael Roth, Mirella Lapata · Research library
- [Converting an English-Swedish Parallel Treebank to Universal Dependencies](https://md.research.elamur.ai/free/en/papers/ud-2015-ahrenberg-converting-english-swedish-parallel-treebank/) — Lars Ahrenberg · English
- [Cross-Document Co-Reference Resolution using Sample-Based Clustering with Knowledge Enrichment](https://md.research.elamur.ai/free/en/papers/dutta-2015-cross-document-co-reference-resolution/) — Sourav Dutta, Gerhard Weikum · Research library
- [Cross-lingual Dependency Parsing Based on Distributed Representations](https://md.research.elamur.ai/free/en/papers/guo-2015-cross-lingual-dependency-parsing-based/) — Jiang Guo, Wanxiang Che, David Yarowsky, et al. · Proceedings of the 53rd Annual Meeting of the…
- [Cross-Lingual Dependency Parsing with Universal Dependencies and Predicted PoS Labels](https://md.research.elamur.ai/free/en/papers/tiedemann-2015-cross-lingual-dependency-parsing-universal/) — Jörg Tiedemann · Proceedings of the Third International…
- [Deep Speech 2: End-to-End Speech Recognition in English and Mandarin](https://md.research.elamur.ai/free/en/papers/amodei-2015-deep-speech-2-end-end/) — Dario Amodei, Rishita Anubhai, Eric Battenberg, et al. · arXiv:1512.02595
- [Deep Unordered Composition Rivals Syntactic Methods for Text Classification](https://md.research.elamur.ai/free/en/papers/iyyer-2015-deep-unordered-composition-rivals-syntactic/) — Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, et al. · Proceedings of the 53rd Annual Meeting of the…
- [Deep Unsupervised Learning using Nonequilibrium Thermodynamics](https://md.research.elamur.ai/free/en/papers/sohl-2015-dickstein-deep-unsupervised-learning-using-nonequilibrium/) — Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, et al. · arXiv:1503.03585
- [Demographic Factors Improve Classification Performance](https://md.research.elamur.ai/free/en/papers/hovy-2015-demographic-factors-improve-classification-performance/) — Dirk Hovy · Proceedings of the 53rd Annual Meeting of the…
- [Dialog Act Annotation for Twitter Conversations](https://md.research.elamur.ai/free/en/papers/zarisheva-2015-dialog-act-annotation-twitter-conversations/) — Elina Zarisheva, Tatjana Scheffler · Proceedings of the 16th Annual Meeting of the…
- [Discourse parsing for multi-party chat dialogues](https://md.research.elamur.ai/free/en/papers/afantenos-2015-discourse-parsing-multi-party-chat/) — Stergos Afantenos, Eric Kow, Nicholas Asher, et al. · Proceedings of the 2015 Conference on Empirical…
- [Distilling the Knowledge in a Neural Network](https://md.research.elamur.ai/free/en/papers/hinton-2015-distilling-knowledge-neural-network/) — Geoffrey Hinton, Oriol Vinyals, Jeff Dean · arXiv:1503.02531
- [Do Supervised Distributional Methods Really Learn Lexical Inference Relations?](https://md.research.elamur.ai/free/en/papers/levy-2015-do-supervised-distributional-methods-really/) — Omer Levy, Steffen Remus, Chris Biemann, et al. · Proceedings of the 2015 Conference of the North…
- [Document Modeling with Gated Recurrent Neural Network for Sentiment Classification](https://md.research.elamur.ai/free/en/papers/tang-2015-document-modeling-gated-recurrent-neural/) — Duyu Tang, Bing Qin, Ting Liu · Proceedings of the 2015 Conference on Empirical…
- [Does Universal Dependencies need a parsing representation? An investigation of English](https://md.research.elamur.ai/free/en/papers/silveira-2015-does-universal-dependencies-need-parsing/) — Natalia Silveira, Christopher Manning · Mova's core list
- [Effective Use of Word Order for Text Categorization with Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/johnson-2015-effective-use-word-order-text/) — Rie Johnson, Tong Zhang · Proceedings of the 2015 Conference of the North…
- [End-to-end learning of semantic role labeling using recurrent neural networks](https://md.research.elamur.ai/free/en/papers/zhou-2015-end-end-learning-semantic-role/) — Jie Zhou, Wei Xu · Proceedings of the 53rd Annual Meeting of the…
- [Enhancing function word translation with syntax-based statistical post-editing](https://md.research.elamur.ai/free/en/papers/richardson-2015-enhancing-function-word-translation-syntax/) — John Richardson, Toshiaki Nakazawa, Sadao Kurohashi · Machine translation
- [Entity-Centric Coreference Resolution with Model Stacking](https://md.research.elamur.ai/free/en/papers/clark-2015-entity-centric-coreference-resolution-model/) — Kevin Clark, Christopher D. Manning · Proceedings of the 53rd Annual Meeting of the…
- [Evaluation methods for unsupervised word embeddings](https://md.research.elamur.ai/free/en/papers/schnabel-2015-evaluation-methods-unsupervised-word-embeddings/) — Tobias Schnabel, Igor Labutov, David Mimno, et al. · Proceedings of the 2015 Conference on Empirical…
- [Event Detection and Domain Adaptation with Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/nguyen-2015-event-detection-domain-adaptation-convolutional/) — Thien Huu Nguyen, Ralph Grishman · Proceedings of the 53rd Annual Meeting of the…
- [Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/chen-2015-event-extraction-dynamic-multi-pooling/) — Yubo Chen, Liheng Xu, Kang Liu, et al. · Proceedings of the 53rd Annual Meeting of the…
- [Exploring the Space of Topic Coherence Measures](https://md.research.elamur.ai/free/en/papers/roder-2015-exploring-space-topic-coherence-measures/) — Michael Röder, Andreas Both, Alexander Hinneburg · WSDM 2015
- [FaceNet: A Unified Embedding for Face Recognition and Clustering](https://md.research.elamur.ai/free/en/papers/schroff-2015-facenet-unified-embedding-face-recognition/) — Florian Schroff, Dmitry Kalenichenko, James Philbin · arXiv:1503.03832
- [Factors Influencing the Implicitation of Discourse Relations across Languages](https://md.research.elamur.ai/free/en/papers/hoek-2015-factors-influencing-implicitation-discourse-relations/) — Jet Hoek, Sandrine Zufferey · Proceedings of the 11th Joint ACL-ISO Workshop…
- [Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)](https://md.research.elamur.ai/free/en/papers/clevert-2015-fast-accurate-deep-network-learning/) — Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter · arXiv:1511.07289
- [Fast Rhetorical Structure Theory Discourse Parsing](https://md.research.elamur.ai/free/en/papers/heilman-2015-fast-rhetorical-structure-theory-discourse/) — Michael Heilman, Kenji Sagae · arXiv:1505.02425
- [Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks](https://md.research.elamur.ai/free/en/papers/ren-2015-faster-r-cnn-towards-real/) — Shaoqing Ren, Kaiming He, Ross Girshick, et al. · arXiv:1506.01497
- [FDTB1, première étape du projet « French Discourse Treebank » : repérage des connecteurs de discours en corpus](https://md.research.elamur.ai/free/en/papers/danlos-2015-fdtb1-premiere-etape-projet-french/) — Laurence Danlos, Margot Colinet, Jacques Steinlin · Discours 17
- [Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation](https://md.research.elamur.ai/free/en/papers/ling-2015-finding-function-form-compositional-character/) — Wang Ling, Tiago Luis, Luis Marujo, et al. · arXiv:1508.02096
- [Findings of the 2015 Workshop on Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/bojar-2015-findings-2015-workshop-statistical-machine/) — Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al. · Proceedings of the Tenth Workshop on…
- [Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings](https://md.research.elamur.ai/free/en/papers/liu-2015-fine-grained-opinion-mining-recurrent/) — Pengfei Liu, Shafiq Joty, Helen Meng · Proceedings of the 2015 Conference on Empirical…
- [Fitting Linear Mixed-Effects Models Using lme4](https://md.research.elamur.ai/free/en/papers/bates-2015-fitting-linear-mixed-effects-models/) — Douglas Bates, Martin Mächler, Ben Bolker, et al. · Journal of Statistical Software 67(1)
- [Frame-Semantic Role Labeling with Heterogeneous Annotations](https://md.research.elamur.ai/free/en/papers/kshirsagar-2015-frame-semantic-role-labeling-heterogeneous/) — Meghana Kshirsagar, Sam Thomson, Nathan Schneider, et al. · Proceedings of the 53rd Annual Meeting of the…
- [FrameNet+: Fast Paraphrastic Tripling of FrameNet](https://md.research.elamur.ai/free/en/papers/pavlick-2015-framenet-fast-paraphrastic-tripling-framenet/) — Ellie Pavlick, Travis Wolfe, Pushpendre Rastogi, et al. · Proceedings of the 53rd Annual Meeting of the…
- [From Light to Rich ERE: Annotation of Entities, Relations, and Events](https://md.research.elamur.ai/free/en/papers/song-2015-light-rich-ere-annotation-entities/) — Zhiyi Song, Ann Bies, Stephanie Strassel, et al. · Proceedings of the 3rd Workshop on EVENTS…
- [From Paraphrase Database to Compositional Paraphrase Model and Back](https://md.research.elamur.ai/free/en/papers/wieting-2015-paraphrase-database-compositional-paraphrase-model/) — John Wieting, Mohit Bansal, Kevin Gimpel, et al. · Research library
- [Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/akbik-2015-generating-high-quality-proposition-banks/) — Alan Akbik, Laura Chiticariu, Marina Danilevsky, et al. · Proceedings of the 53rd Annual Meeting of the…
- [Generation and Comprehension of Unambiguous Object Descriptions](https://md.research.elamur.ai/free/en/papers/mao-2015-generation-comprehension-unambiguous-object-descriptions/) — Junhua Mao, Jonathan Huang, Alexander Toshev, et al. · arXiv:1511.02283
- [Harnessing Context Incongruity for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/joshi-2015-harnessing-context-incongruity-sarcasm-detection/) — Aditya Joshi, Vinita Sharma, Pushpak Bhattacharyya · Proceedings of the 53rd Annual Meeting of the…
- [Highway Networks](https://md.research.elamur.ai/free/en/papers/srivastava-2015-highway-networks/) — Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber · arXiv:1505.00387
- [Identifying Cascading Errors using Constraints in Dependency Parsing](https://md.research.elamur.ai/free/en/papers/aclbulk-2015-ng-identifying-cascading-errors-constraints-dependency/) — Dominick Ng, James R. Curran · English
- [Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs](https://md.research.elamur.ai/free/en/papers/ballesteros-2015-improved-transition-based-parsing-modeling/) — Miguel Ballesteros, Chris Dyer, Noah A. Smith · Proceedings of the 2015 Conference on Empirical…
- [Improving Arabic Diacritization through Syntactic Analysis](https://md.research.elamur.ai/free/en/papers/aclbulk-2015-shahrour-improving-arabic-diacritization-through-syntactic/) — Anas Shahrour, Salam Khalifa, Nizar Habash · Semitic languages
- [Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives](https://md.research.elamur.ai/free/en/papers/rutherford-2015-improving-inference-implicit-discourse-relations/) — Attapol Rutherford, Nianwen Xue · Proceedings of the 2015 Conference of the North…
- [Intra-sentential Zero Anaphora Resolution using Subject Sharing Recognition](https://md.research.elamur.ai/free/en/papers/iida-2015-intra-sentential-zero-anaphora-resolution/) — Ryu Iida, Kentaro Torisawa, Chikara Hashimoto, et al. · Proceedings of the 2015 Conference on Empirical…
- [Investigating the distribution of some (but not all) implicatures using corpora and web-based methods](https://md.research.elamur.ai/free/en/papers/degen-2015-investigating-distribution-some-but-not/) — Judith Degen · English
- [It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool](https://md.research.elamur.ai/free/en/papers/aclbulk-2015-choi-it-depends-dependency-parser-comparison/) — Jinho D. Choi, Joel Tetreault, Amanda Stent · English
- [Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron](https://md.research.elamur.ai/free/en/papers/araki-2015-joint-event-trigger-identification-event/) — Jun Araki, Teruko Mitamura · Proceedings of the 2015 Conference on Empirical…
- [Joint prediction in MST-style discourse parsing for argumentation mining](https://md.research.elamur.ai/free/en/papers/peldszus-2015-joint-prediction-mst-style-discourse/) — Andreas Peldszus, Manfred Stede · Proceedings of the 2015 Conference on Empirical…
- [Knowledge Graph Embedding via Dynamic Mapping Matrix](https://md.research.elamur.ai/free/en/papers/ji-2015-knowledge-graph-embedding-dynamic-mapping/) — Guoliang Ji, Shizhu He, Liheng Xu, et al. · Proceedings of the 53rd Annual Meeting of the…
- [Knowledge-lean projection of coreference chains across languages](https://md.research.elamur.ai/free/en/papers/grishina-2015-knowledge-lean-projection-coreference-chains/) — Yulia Grishina, Manfred Stede · Proceedings of the Eighth Workshop on Building…
- [Latent Structures for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/martschat-2015-latent-structures-coreference-resolution/) — Sebastian Martschat, Michael Strube · Research library
- [Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/wiseman-2015-learning-anaphoricity-antecedent-ranking-features/) — Sam Wiseman, Alexander M. Rush, Stuart Shieber, et al. · Proceedings of the 53rd Annual Meeting of the…
- [Leveraging Linguistic Structure For Open Domain Information Extraction](https://md.research.elamur.ai/free/en/papers/angeli-2015-leveraging-linguistic-structure-open-domain/) — Gabor Angeli, Melvin Jose Johnson Premkumar, Christopher D. Manning · Proceedings of the 53rd Annual Meeting of the…
- [Machine Comprehension with Discourse Relations](https://md.research.elamur.ai/free/en/papers/narasimhan-2015-machine-comprehension-discourse-relations/) — Karthik Narasimhan, Regina Barzilay · Proceedings of the 53rd Annual Meeting of the…
- [Microsoft COCO Captions: Data Collection and Evaluation Server](https://md.research.elamur.ai/free/en/papers/chen-2015-microsoft-coco-captions-data-collection/) — Xinlei Chen, Hao Fang, Tsung-Yi Lin, et al. · arXiv:1504.00325
- [Minimum Risk Training for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/shen-2015-minimum-risk-training-neural-machine/) — Shiqi Shen, Yong Cheng, Zhongjun He, et al. · arXiv:1512.02433
- [Modeling Argument Strength in Student Essays](https://md.research.elamur.ai/free/en/papers/persing-2015-modeling-argument-strength-student-essays/) — Isaac Persing, Vincent Ng · Proceedings of the 53rd Annual Meeting of the…
- [Multi-level Translation Quality Prediction with QuEst++](https://md.research.elamur.ai/free/en/papers/specia-2015-multi-level-translation-quality-prediction/) — Lucia Specia, Gustavo Paetzold, Carolina Scarton · Proceedings of ACL-IJCNLP 2015 System…
- [Multi-Task Learning for Multiple Language Translation](https://md.research.elamur.ai/free/en/papers/dong-2015-multi-task-learning-multiple-language/) — Daxiang Dong, Hua Wu, Wei He, et al. · Proceedings of the 53rd Annual Meeting of the…
- [Multi-task Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/luong-2015-multi-task-sequence-sequence-learning/) — Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, et al. · arXiv:1511.06114
- [MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems](https://md.research.elamur.ai/free/en/papers/chen-2015-mxnet-flexible-efficient-machine-learning/) — Tianqi Chen, Mu Li, Yutian Li, et al. · arXiv:1512.01274
- [Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings](https://md.research.elamur.ai/free/en/papers/peng-2015-named-entity-recognition-chinese-social/) — Nanyun Peng, Mark Dredze · Proceedings of the 2015 Conference on Empirical…

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