--- title: "Papers of 2018 — page 2" description: "Papers of 2018: 399 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/2018/page/2/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2018/page/2/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2018 # Papers of 2018 — page 2 399 papers · [all years](https://md.research.elamur.ai/free/en/papers/) [← prev](https://md.research.elamur.ai/free/en/papers/2018/) [1](https://md.research.elamur.ai/free/en/papers/2018/) **2** [3](https://md.research.elamur.ai/free/en/papers/2018/page/3/) [4](https://md.research.elamur.ai/free/en/papers/2018/page/4/) [next →](https://md.research.elamur.ai/free/en/papers/2018/page/3/) - [Datives, data and dialect syntax in American English](https://md.research.elamur.ai/free/en/papers/wood-2018-datives-data-dialect-syntax-american/) — Jim Wood, Raffaella Zanuttini · English - [Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer](https://md.research.elamur.ai/free/en/papers/rao-2018-dear-sir-or-madam-may/) — Sudha Rao, Joel Tetreault · Machine translation - [DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning](https://md.research.elamur.ai/free/en/papers/popat-2018-declare-debunking-fake-news-false/) — Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, et al. · Proceedings of the 2018 Conference on Empirical… - [Decoupling Strategy and Generation in Negotiation Dialogues](https://md.research.elamur.ai/free/en/papers/he-2018-decoupling-strategy-generation-negotiation-dialogues/) — He He, Derek Chen, Anusha Balakrishnan, et al. · Proceedings of the 2018 Conference on Empirical… - [Deep Communicating Agents for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/celikyilmaz-2018-deep-communicating-agents-abstractive-summarization/) — Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, et al. · Proceedings of the 2018 Conference of the North… - [Deep contextualized word representations for detecting sarcasm and irony](https://md.research.elamur.ai/free/en/papers/ilic-2018-deep-contextualized-word-representations-detecting/) — Suzana Ilić, Edison Marrese-Taylor, Jorge Balazs, et al. · Proceedings of the 9th Workshop on… - [Deep Enhanced Representation for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/bai-2018-deep-enhanced-representation-implicit-discourse/) — Hongxiao Bai, Hai Zhao · Proceedings of the 27th International… - [Deep Neural Networks for Coreference Resolution for Polish](https://md.research.elamur.ai/free/en/papers/niton-2018-deep-neural-networks-coreference-resolution/) — Bartłomiej Nitoń, Paweł Morawiecki, Maciej Ogrodniczuk · Proceedings of the Eleventh International… - [Deep Reinforcement Learning for Chinese Zero Pronoun Resolution](https://md.research.elamur.ai/free/en/papers/yin-2018-deep-reinforcement-learning-chinese-zero/) — Qingyu Yin, Yu Zhang, Wei-Nan Zhang, et al. · Proceedings of the 56th Annual Meeting of the… - [Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer](https://md.research.elamur.ai/free/en/papers/li-2018-delete-retrieve-generate-simple-approach/) — Juncen Li, Robin Jia, He He, et al. · Machine translation - [Deletion phenomena in comparative constructions: English comparatives in a cross-linguistic perspective](https://md.research.elamur.ai/free/en/papers/atkari-2018-deletion-phenomena-comparative-constructions/) — Julia Bacskai-Atkari · English - [Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection](https://md.research.elamur.ai/free/en/papers/wang-2018-denoising-neural-machine-translation-training/) — Wei Wang, Taro Watanabe, Macduff Hughes, et al. · Proceedings of the Third Conference on Machine… - [Derivational Relations in Arabic WordNet](https://md.research.elamur.ai/free/en/papers/aclbulk-2018-batita-derivational-relations-arabic-wordnet/) — Mohamed Ali Batita, Mounir Zrigui · Semitic languages - [Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement](https://md.research.elamur.ai/free/en/papers/lee-2018-deterministic-non-autoregressive-neural-sequence/) — Jason Lee, Elman Mansimov, Kyunghyun Cho · Proceedings of the 2018 Conference on Empirical… - [Developing the Bangla RST Discourse Treebank](https://md.research.elamur.ai/free/en/papers/das-2018-developing-bangla-rst-discourse-treebank/) — Debopam Das, Manfred Stede · Proceedings of the Eleventh International… - [Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change](https://md.research.elamur.ai/free/en/papers/schlechtweg-2018-diachronic-usage-relatedness-durel-framework/) — Dominik Schlechtweg, Sabine Schulte im Walde, Stefanie Eckmann · Proceedings of the 2018 Conference of the North… - [Diachronic word embeddings and semantic shifts: a survey](https://md.research.elamur.ai/free/en/papers/kutuzov-2018-diachronic-word-embeddings-semantic-shifts/) — Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, et al. · Proceedings of the 27th International… - [Discourse Annotation in the PDTB: The Next Generation](https://md.research.elamur.ai/free/en/papers/prasad-2018-discourse-annotation-pdtb-next-generation/) — Rashmi Prasad, Bonnie Webber, Alan Lee · English - [Discourse Coherence in the Wild: A Dataset, Evaluation and Methods](https://md.research.elamur.ai/free/en/papers/lai-2018-discourse-coherence-wild-dataset-evaluation/) — Alice Lai, Joel Tetreault · Proceedings of the 19th Annual SIGdial Meeting… - [Discourse Coherence: Concurrent Explicit and Implicit Relations](https://md.research.elamur.ai/free/en/papers/rohde-2018-discourse-coherence-concurrent-explicit-implicit/) — Hannah Rohde, Alexander Johnson, Nathan Schneider, et al. · Proceedings of the 56th Annual Meeting of the… - [Dissecting Contextual Word Embeddings: Architecture and Representation](https://md.research.elamur.ai/free/en/papers/peters-2018-dissecting-contextual-word-embeddings-architecture/) — Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al. · Proceedings of the 2018 Conference on Empirical… - [Document Context Neural Machine Translation with Memory Networks](https://md.research.elamur.ai/free/en/papers/maruf-2018-document-context-neural-machine-translation/) — Sameen Maruf, Gholamreza Haffari · Proceedings of the 56th Annual Meeting of the… - [Document-Level Neural Machine Translation with Hierarchical Attention Networks](https://md.research.elamur.ai/free/en/papers/miculicich-2018-document-level-neural-machine-translation/) — Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, et al. · Proceedings of the 2018 Conference on Empirical… - [Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction](https://md.research.elamur.ai/free/en/papers/xu-2018-double-embeddings-cnn-based-sequence/) — Hu Xu, Bing Liu, Lei Shu, et al. · Proceedings of the 56th Annual Meeting of the… - [Dual Conditional Cross-Entropy Filtering of Noisy Parallel Corpora](https://md.research.elamur.ai/free/en/papers/dowmunt-2018-dual-conditional-cross-entropy-filtering/) — Marcin Junczys-Dowmunt · Proceedings of the Third Conference on Machine… - [DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension](https://md.research.elamur.ai/free/en/papers/saha-2018-duorc-complex-language-understanding-paraphrased/) — Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, et al. · Proceedings of the 56th Annual Meeting of the… - [e-SNLI: Natural Language Inference with Natural Language Explanations](https://md.research.elamur.ai/free/en/papers/camburu-2018-e-snli-natural-language-inference/) — Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, et al. · arXiv:1812.01193 - [Edition 1.1 of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions](https://md.research.elamur.ai/free/en/papers/ramisch-2018-edition-1-1-parseme-shared/) — Carlos Ramisch, Silvio Ricardo Cordeiro, Agata Savary, et al. · Proceedings of the Joint Workshop on Linguistic… - [Effective Parallel Corpus Mining using Bilingual Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/guo-2018-effective-parallel-corpus-mining-bilingual/) — Mandy Guo, Qinlan Shen, Yinfei Yang, et al. · Proceedings of the Third Conference on Machine… - [Efficient Low-rank Multimodal Fusion With Modality-Specific Factors](https://md.research.elamur.ai/free/en/papers/liu-2018-efficient-low-rank-multimodal-fusion/) — Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, et al. · Proceedings of the 56th Annual Meeting of the… - [emrQA: A Large Corpus for Question Answering on Electronic Medical Records](https://md.research.elamur.ai/free/en/papers/pampari-2018-emrqa-large-corpus-question-answering/) — Anusri Pampari, Preethi Raghavan, Jennifer Liang, et al. · Proceedings of the 2018 Conference on Empirical… - [End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification](https://md.research.elamur.ai/free/en/papers/libovicky-2018-end-end-non-autoregressive-neural/) — Jindřich Libovický, Jindřich Helcl · Proceedings of the 2018 Conference on Empirical… - [Enhanced Word Representations for Bridging Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/hou-2018-enhanced-word-representations-bridging-anaphora/) — Yufang Hou · Proceedings of the 2018 Conference of the North… - [Enhancing Universal Dependency Treebanks: A Case Study](https://md.research.elamur.ai/free/en/papers/ud-2018-nivre-enhancing-universal-dependency-treebanks-case/) — Joakim Nivre, Paola Marongiu, Filip Ginter, et al. · English - [Entity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure Analysis](https://md.research.elamur.ai/free/en/papers/shibata-2018-entity-centric-joint-modeling-japanese/) — Tomohide Shibata, Sadao Kurohashi · Proceedings of the 56th Annual Meeting of the… - [Epitran: Precision G2P for Many Languages](https://md.research.elamur.ai/free/en/papers/mortensen-2018-epitran-precision-g2p-many-languages/) — David R. Mortensen, Siddharth Dalmia, Patrick Littell · Proceedings of the Eleventh International… - [Errator: a Tool to Help Detect Annotation Errors in the Universal Dependencies Project](https://md.research.elamur.ai/free/en/papers/ud-2018-wisniewski-errator-tool-help-detect-annotation/) — Guillaume Wisniewski · English - [Evaluating Historical Text Normalization Systems: How Well Do They Generalize?](https://md.research.elamur.ai/free/en/papers/robertson-2018-evaluating-historical-text-normalization-systems/) — Alexander Robertson, Sharon Goldwater · Machine translation - [Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks](https://md.research.elamur.ai/free/en/papers/belinkov-2018-evaluating-layers-representation-neural-machine/) — Yonatan Belinkov, Lluis Marquez, Hassan Sajjad, et al. · arXiv:1801.07772 · IJCNLP 8 (2017), volume 1… - [Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems](https://md.research.elamur.ai/free/en/papers/kiritchenko-2018-examining-gender-race-bias-two/) — Svetlana Kiritchenko, Saif Mohammad · Proceedings of the Seventh Joint Conference on… - [Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings](https://md.research.elamur.ai/free/en/papers/shing-2018-expert-crowdsourced-machine-assessment-suicide/) — Han-Chin Shing, Suraj Nair, Ayah Zirikly, et al. · Proceedings of the Fifth Workshop on… - [Explainable Prediction of Medical Codes from Clinical Text](https://md.research.elamur.ai/free/en/papers/mullenbach-2018-explainable-prediction-medical-codes-clinical/) — James Mullenbach, Sarah Wiegreffe, Jon Duke, et al. · Proceedings of the 2018 Conference of the North… - [Exponence, allomorphy and haplology in the number and State morphology of Modern Hebrew](https://md.research.elamur.ai/free/en/papers/lingbulk-2018-faust-exponence-allomorphy-haplology-number-state/) — Noam Faust · Modern Hebrew - [Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples](https://md.research.elamur.ai/free/en/papers/acl-2018-joshi-extending-parser-distant-domains-few/) — Vidur Joshi, Matthew Peters, Mark Hopkins · English - [Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism](https://md.research.elamur.ai/free/en/papers/zeng-2018-extracting-relational-facts-end-end/) — Xiangrong Zeng, Daojian Zeng, Shizhu He, et al. · Proceedings of the 56th Annual Meeting of the… - [Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting](https://md.research.elamur.ai/free/en/papers/chen-2018-fast-abstractive-summarization-reinforce-selected/) — Yen-Chun Chen, Mohit Bansal · arXiv:1805.11080 - [Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/post-2018-fast-lexically-constrained-decoding-dynamic/) — Matt Post, David Vilar · Proceedings of the 2018 Conference of the North… - [FEVER: a Large-scale Dataset for Fact Extraction and VERification](https://md.research.elamur.ai/free/en/papers/thorne-2018-fever-large-scale-dataset-fact/) — James Thorne, Andreas Vlachos, Christos Christodoulopoulos, et al. · Proceedings of the 2018 Conference of the North… - [Few-Shot Charge Prediction with Discriminative Legal Attributes](https://md.research.elamur.ai/free/en/papers/hu-2018-few-shot-charge-prediction-discriminative/) — Zikun Hu, Xiang Li, Cunchao Tu, et al. · Proceedings of the 27th International… - [Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer](https://md.research.elamur.ai/free/en/papers/santos-2018-fighting-offensive-language-social-media/) — Cicero Nogueira dos Santos, Igor Melnyk, Inkit Padhi · Proceedings of the 56th Annual Meeting of the… - [Findings of the 2018 Conference on Machine Translation (WMT18)](https://md.research.elamur.ai/free/en/papers/bojar-2018-findings-2018-conference-machine-translation/) — Ondřej Bojar, Christian Federmann, Mark Fishel, et al. · Proceedings of the Third Conference on Machine… - [Findings of the Third Shared Task on Multimodal Machine Translation](https://md.research.elamur.ai/free/en/papers/barrault-2018-findings-third-shared-task-multimodal/) — Loïc Barrault, Fethi Bougares, Lucia Specia, et al. · Proceedings of the Third Conference on Machine… - [Findings of the WMT 2018 Shared Task on Automatic Post-Editing](https://md.research.elamur.ai/free/en/papers/chatterjee-2018-findings-wmt-2018-shared-task/) — Rajen Chatterjee, Matteo Negri, Raphael Rubino, et al. · Proceedings of the Third Conference on Machine… - [Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering](https://md.research.elamur.ai/free/en/papers/koehn-2018-findings-wmt-2018-shared-task/) — Philipp Koehn, Huda Khayrallah, Kenneth Heafield, et al. · Proceedings of the Third Conference on Machine… - [Findings of the WMT 2018 Shared Task on Quality Estimation](https://md.research.elamur.ai/free/en/papers/specia-2018-findings-wmt-2018-shared-task/) — Lucia Specia, Frédéric Blain, Varvara Logacheva, et al. · Proceedings of the Third Conference on Machine… - [Fine-Grained Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/salameh-2018-fine-grained-arabic-dialect-identification/) — Mohammad Salameh, Houda Bouamor, Nizar Habash · Proceedings of the 27th International… - [Fixing Translation Divergences in Parallel Corpora for Neural MT](https://md.research.elamur.ai/free/en/papers/pham-2018-fixing-translation-divergences-parallel-corpora/) — MinhQuang Pham, Josep Crego, Jean Senellart, et al. · Machine translation - [Focalization in the Old Testament Narratives with Specific Examples from the Book of Ruth](https://md.research.elamur.ai/free/en/papers/hbo-2021-nazarov-focalization-old-testament-narratives-specific/) — K. S. Nazarov · Ancient Hebrew - [Gender Bias in Coreference Resolution](https://md.research.elamur.ai/free/en/papers/rudinger-2018-gender-bias-coreference-resolution/) — Rachel Rudinger, Jason Naradowsky, Brian Leonard, et al. · Proceedings of the 2018 Conference of the North… - [Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods](https://md.research.elamur.ai/free/en/papers/zhao-2018-gender-bias-coreference-resolution-evaluation/) — Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al. · Proceedings of the 2018 Conference of the North… - [Gender Bias in Neural Natural Language Processing](https://md.research.elamur.ai/free/en/papers/lu-2018-gender-bias-neural-natural-language/) — Kaiji Lu, Piotr Mardziel, Fangjing Wu, et al. · arXiv:1807.11714 - [Gendered Speech: A Sociolinguistic Study of Conversations between Men and Women in Biblical Narrative](https://md.research.elamur.ai/free/en/papers/hbo-2018-hare-gendered-speech-sociolinguistic-study-conversations/) — Laura Hare · Ancient Hebrew - [GenDR: A Generic Deep Realizer with Complex Lexicalization](https://md.research.elamur.ai/free/en/papers/lareau-2018-gendr-generic-deep-realizer-complex/) — François Lareau, Florie Lambrey, Ieva Dubinskaite, et al. · Machine translation - [Generating Natural Language Adversarial Examples](https://md.research.elamur.ai/free/en/papers/alzantot-2018-generating-natural-language-adversarial-examples/) — Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, et al. · arXiv:1804.07998 - [Generating Wikipedia by Summarizing Long Sequences](https://md.research.elamur.ai/free/en/papers/liu-2018-generating-wikipedia-summarizing-long-sequences/) — Peter J. Liu, Mohammad Saleh, Etienne Pot, et al. · arXiv:1801.10198 - [Getting Gender Right in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/vanmassenhove-2018-getting-gender-right-neural-machine/) — Eva Vanmassenhove, Christian Hardmeier, Andy Way · Proceedings of the 2018 Conference on Empirical… - [GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/wang-2018-glue-multi-task-benchmark-analysis/) — Alex Wang, Amanpreet Singh, Julian Michael, et al. · Proceedings of the 2018 EMNLP Workshop… - [Graph Convolution over Pruned Dependency Trees Improves Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhang-2018-graph-convolution-over-pruned-dependency/) — Yuhao Zhang, Peng Qi, Christopher D. Manning · Proceedings of the 2018 Conference on Empirical… - [Graph-to-Sequence Learning using Gated Graph Neural Networks](https://md.research.elamur.ai/free/en/papers/beck-2018-graph-sequence-learning-gated-graph/) — Daniel Beck, Gholamreza Haffari, Trevor Cohn · Proceedings of the 56th Annual Meeting of the… - [Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation](https://md.research.elamur.ai/free/en/papers/laubli-2018-has-machine-translation-achieved-human/) — Samuel Läubli, Rico Sennrich, Martin Volk · Proceedings of the 2018 Conference on Empirical… - [Hate Speech Dataset from a White Supremacy Forum](https://md.research.elamur.ai/free/en/papers/gibert-2018-hate-speech-dataset-white-supremacy/) — Ona de Gibert, Naiara Perez, Aitor García-Pablos, et al. · Proceedings of the 2nd Workshop on Abusive… - [Higher-Order Coreference Resolution with Coarse-to-Fine Inference](https://md.research.elamur.ai/free/en/papers/lee-2018-higher-order-coreference-resolution-coarse/) — Kenton Lee, Luheng He, Luke Zettlemoyer · Proceedings of the 2018 Conference of the North… - [HotFlip: White-Box Adversarial Examples for Text Classification](https://md.research.elamur.ai/free/en/papers/ebrahimi-2018-hotflip-white-box-adversarial-examples/) — Javid Ebrahimi, Anyi Rao, Daniel Lowd, et al. · Proceedings of the 56th Annual Meeting of the… - [HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/yang-2018-hotpotqa-dataset-diverse-explainable-multi/) — Zhilin Yang, Peng Qi, Saizheng Zhang, et al. · Proceedings of the 2018 Conference on Empirical… - [How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks](https://md.research.elamur.ai/free/en/papers/kaushik-2018-how-much-reading-does-reading/) — Divyansh Kaushik, Zachary C. Lipton · English - [How Powerful are Graph Neural Networks?](https://md.research.elamur.ai/free/en/papers/xu-2018-powerful-graph-neural-networks/) — Keyulu Xu, Weihua Hu, Jure Leskovec, et al. · arXiv:1810.00826 - [Hurtlex: A Multilingual Lexicon of Words to Hurt](https://md.research.elamur.ai/free/en/papers/bassignana-2018-hurtlex-multilingual-lexicon-words-hurt/) — Elisa Bassignana, Valerio Basile, Viviana Patti · Proceedings of the Fifth Italian Conference on… - [ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection](https://md.research.elamur.ai/free/en/papers/hazarika-2018-icon-interactive-conversational-memory-network/) — Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, et al. · Proceedings of the 2018 Conference on Empirical… - [Identifying Explicit Discourse Connectives in German](https://md.research.elamur.ai/free/en/papers/bourgonje-2018-identifying-explicit-discourse-connectives-german/) — Peter Bourgonje, Manfred Stede · Proceedings of the 19th Annual SIGdial Meeting… - [Identifying the Most Dominant Event in a News Article by Mining Event Coreference Relations](https://md.research.elamur.ai/free/en/papers/choubey-2018-identifying-most-dominant-event-news/) — Prafulla Kumar Choubey, Kaushik Raju, Ruihong Huang · Proceedings of the 2018 Conference of the North… - [Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning](https://md.research.elamur.ai/free/en/papers/guo-2018-implicit-discourse-relation-recognition-neural/) — Fengyu Guo, Ruifang He, Di Jin, et al. · Proceedings of the 27th International… - [Improving Crowdsourcing-Based Annotation of Japanese Discourse Relations](https://md.research.elamur.ai/free/en/papers/kishimoto-2018-improving-crowdsourcing-based-annotation-japanese/) — Yudai Kishimoto, Shinnosuke Sawada, Yugo Murawaki, et al. · Proceedings of the Eleventh International… - [Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures](https://md.research.elamur.ai/free/en/papers/choubey-2018-improving-event-coreference-resolution-modeling/) — Prafulla Kumar Choubey, Ruihong Huang · Proceedings of the 56th Annual Meeting of the… - [Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph](https://md.research.elamur.ai/free/en/papers/dai-2018-improving-implicit-discourse-relation-classification/) — Zeyu Dai, Ruihong Huang · Proceedings of the 2018 Conference of the North… - [Improving Text-to-SQL Evaluation Methodology](https://md.research.elamur.ai/free/en/papers/dollak-2018-improving-text-sql-evaluation-methodology/) — Catherine Finegan-Dollak, Jonathan K. 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