---
title: "Papers of 2018 — page 4"
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/4/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2018/page/4/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2018

# Papers of 2018 — page 4

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

[← prev](https://md.research.elamur.ai/free/en/papers/2018/page/3/) [1](https://md.research.elamur.ai/free/en/papers/2018/) [2](https://md.research.elamur.ai/free/en/papers/2018/page/2/) [3](https://md.research.elamur.ai/free/en/papers/2018/page/3/) **4**

- [Scaling Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/ott-2018-scaling-neural-machine-translation/) — Myle Ott, Sergey Edunov, David Grangier, et al. · Proceedings of the Third Conference on Machine…
- [Scheduled Multi-Task Learning: From Syntax to Translation](https://md.research.elamur.ai/free/en/papers/kiperwasser-2018-scheduled-multi-task-learning-syntax/) — Eliyahu Kiperwasser, Miguel Ballesteros · Transactions of the Association for…
- [SciDTB: Discourse Dependency TreeBank for Scientific Abstracts](https://md.research.elamur.ai/free/en/papers/yang-2018-scidtb-discourse-dependency-treebank-scientific/) — An Yang, Sujian Li · English
- [Self-Attention with Relative Position Representations](https://md.research.elamur.ai/free/en/papers/shaw-2018-self-attention-relative-position-representations/) — Peter Shaw, Jakob Uszkoreit, Ashish Vaswani · Proceedings of the 2018 Conference of the North…
- [Semantic Parsing for Task Oriented Dialog using Hierarchical Representations](https://md.research.elamur.ai/free/en/papers/gupta-2018-semantic-parsing-task-oriented-dialog/) — Sonal Gupta, Rushin Shah, Mrinal Mohit, et al. · Proceedings of the 2018 Conference on Empirical…
- [Semantic Structural Evaluation for Text Simplification](https://md.research.elamur.ai/free/en/papers/sulem-2018-semantic-structural-evaluation-text-simplification/) — Elior Sulem, Omri Abend, Ari Rappoport · Machine translation
- [SemEval-2018 Task 1: Affect in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2018-semeval-2018-task-1-affect/) — Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al. · Proceedings of the 12th International Workshop…
- [SemEval-2018 Task 3: Irony Detection in English Tweets](https://md.research.elamur.ai/free/en/papers/hee-2018-semeval-2018-task-3-irony/) — Cynthia Van Hee, Els Lefever, Véronique Hoste · Proceedings of the 12th International Workshop…
- [Semi-Supervised Sequence Modeling with Cross-View Training](https://md.research.elamur.ai/free/en/papers/clark-2018-semi-supervised-sequence-modeling-cross/) — Kevin Clark, Minh-Thang Luong, Christopher D. Manning, et al. · Proceedings of the 2018 Conference on Empirical…
- [Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks](https://md.research.elamur.ai/free/en/papers/phang-2018-sentence-encoders-stilts-supplementary-training/) — Jason Phang, Thibault Févry, Samuel R. Bowman · arXiv:1811.01088
- [SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing](https://md.research.elamur.ai/free/en/papers/kudo-2018-sentencepiece-simple-language-independent-subword/) — Taku Kudo, John Richardson · Proceedings of the 2018 Conference on Empirical…
- [Sentences with Gapping: Parsing and Reconstructing Elided Predicates](https://md.research.elamur.ai/free/en/papers/ud-2018-schuster-sentences-gapping-parsing-reconstructing-elided/) — Sebastian Schuster, Joakim Nivre, Christopher D. Manning · English
- [SentEval: An Evaluation Toolkit for Universal Sentence Representations](https://md.research.elamur.ai/free/en/papers/conneau-2018-senteval-evaluation-toolkit-universal-sentence/) — Alexis Conneau, Douwe Kiela · arXiv:1803.05449
- [Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures](https://md.research.elamur.ai/free/en/papers/lei-2018-sequicity-simplifying-task-oriented-dialogue/) — Wenqiang Lei, Xisen Jin, Min-Yen Kan, et al. · Proceedings of the 56th Annual Meeting of the…
- [SGM: Sequence Generation Model for Multi-label Classification](https://md.research.elamur.ai/free/en/papers/yang-2018-sgm-sequence-generation-model-multi/) — Pengcheng Yang, Xu Sun, Wei Li, et al. · Proceedings of the 27th International…
- [Simple and Effective Text Simplification Using Semantic and Neural Methods](https://md.research.elamur.ai/free/en/papers/sulem-2018-simple-effective-text-simplification-semantic/) — Elior Sulem, Omri Abend, Ari Rappoport · Machine translation
- [Simple Models for Word Formation in English Slang](https://md.research.elamur.ai/free/en/papers/kulkarni-2018-simple-models-word-formation-english/) — Vivek Kulkarni, William Yang Wang · English
- [Simpler but More Accurate Semantic Dependency Parsing](https://md.research.elamur.ai/free/en/papers/dozat-2018-simpler-but-more-accurate-semantic/) — Timothy Dozat, Christopher D. Manning · Proceedings of the 56th Annual Meeting of the…
- [Slot-Gated Modeling for Joint Slot Filling and Intent Prediction](https://md.research.elamur.ai/free/en/papers/goo-2018-slot-gated-modeling-joint-slot/) — Chih-Wen Goo, Guang Gao, Yun-Kai Hsu, et al. · Proceedings of the 2018 Conference of the North…
- [Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces](https://md.research.elamur.ai/free/en/papers/coucke-2018-snips-voice-platform-embedded-spoken/) — Alice Coucke, Alaa Saade, Adrien Ball, et al. · arXiv:1805.10190
- [Spelling Normalization of Historical Documents by Using a Machine Translation Approach](https://md.research.elamur.ai/free/en/papers/domingo-2018-spelling-normalization-historical-documents-machine/) — Miguel Domingo, Francisco Casacuberta · Machine translation
- [Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task](https://md.research.elamur.ai/free/en/papers/yu-2018-spider-large-scale-human-labeled/) — Tao Yu, Rui Zhang, Kai Yang, et al. · Proceedings of the 2018 Conference on Empirical…
- [Stance Detection in Fake News A Combined Feature Representation](https://md.research.elamur.ai/free/en/papers/ghanem-2018-stance-detection-fake-news-combined/) — Bilal Ghanem, Paolo Rosso, Francisco Rangel · Proceedings of the First Workshop on Fact…
- [Stance Detection with Hierarchical Attention Network](https://md.research.elamur.ai/free/en/papers/sun-2018-stance-detection-hierarchical-attention-network/) — Qingying Sun, Zhongqing Wang, Qiaoming Zhu, et al. · Proceedings of the 27th International…
- [Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead](https://md.research.elamur.ai/free/en/papers/rudin-2018-stop-explaining-black-box/) — Cynthia Rudin · arXiv:1811.10154 · Nature Machine Intelligence…
- [Style Transfer as Unsupervised Machine Translation](https://md.research.elamur.ai/free/en/papers/zhang-2018-style-transfer-unsupervised-machine-translation/) — Zhirui Zhang, Shuo Ren, Shujie Liu, et al. · arXiv:1808.07894
- [Style Transfer Through Back-Translation](https://md.research.elamur.ai/free/en/papers/prabhumoye-2018-style-transfer-through-back-translation/) — Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, et al. · Proceedings of the 56th Annual Meeting of the…
- [Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised](https://md.research.elamur.ai/free/en/papers/angelidis-2018-summarizing-opinions-aspect-extraction-meets/) — Stefanos Angelidis, Mirella Lapata · Proceedings of the 2018 Conference on Empirical…
- [SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2018-switchout-efficient-data-augmentation-algorithm/) — Xinyi Wang, Hieu Pham, Zihang Dai, et al. · Proceedings of the 2018 Conference on Empirical…
- [SzegedKoref: A Hungarian Coreference Corpus](https://md.research.elamur.ai/free/en/papers/vincze-2018-szegedkoref-hungarian-coreference-corpus/) — Veronika Vincze, Klára Hegedús, Alex Sliz-Nagy, et al. · Proceedings of the Eleventh International…
- [Tensor2Tensor for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/vaswani-2018-tensor2tensor-neural-machine-translation/) — Ashish Vaswani, Samy Bengio, Eugene Brevdo, et al. · Proceedings of the 13th Conference of the…
- [TextBugger: Generating Adversarial Text Against Real-world Applications](https://md.research.elamur.ai/free/en/papers/li-2018-textbugger-generating-adversarial-text-against/) — Jinfeng Li, Shouling Ji, Tianyu Du, et al. · arXiv:1812.05271
- [Textual Commentary on the Ethiopic Text of Ezekiel 1–11](https://md.research.elamur.ai/free/en/papers/knibb-2018-textual-commentary-ethiopic-text-ezekiel/) — Michael Knibb · Aethiopica 20
- [TextWorld: A Learning Environment for Text-based Games](https://md.research.elamur.ai/free/en/papers/cote-2018-textworld-learning-environment-text-based/) — Marc-Alexandre Cote, Akos Kadar, Xingdi Yuan, et al. · arXiv:1806.11532
- [Texygen: A Benchmarking Platform for Text Generation Models](https://md.research.elamur.ai/free/en/papers/zhu-2018-texygen-benchmarking-platform-text-generation/) — Yaoming Zhu, Sidi Lu, Lei Zheng, et al. · arXiv:1802.01886
- [The 2018 Shared Task on Extrinsic Parser Evaluation: On the Downstream Utility of English Universal Dependency Parsers](https://md.research.elamur.ai/free/en/papers/ud-2018-fares-2018-shared-task-extrinsic-parser/) — Murhaf Fares, Stephan Oepen, Lilja Øvrelid, et al. · English
- [The acquisition of Hebrew idioms: Stages, internal composition, and implications for storage](https://md.research.elamur.ai/free/en/papers/lingbulk-2018-fadlon-acquisition-hebrew-idioms-stages-internal/) — Julie Fadlon, Julia Horvath, Tal Siloni, et al. · Modern Hebrew
- [The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants](https://md.research.elamur.ai/free/en/papers/habernal-2018-argument-reasoning-comprehension-task-identification/) — Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, et al. · Proceedings of the 2018 Conference of the North…
- [The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/chen-2018-best-both-worlds-combining-recent/) — Mia Xu Chen, Orhan Firat, Ankur Bapna, et al. · Proceedings of the 56th Annual Meeting of the…
- [The Biblical Hebrew idiom ‘lift the face’ in the Septuagint of Job](https://md.research.elamur.ai/free/en/papers/mangum-2018-biblical-hebrew-idiom-lift-face/) — Douglas Mangum · HTS Teologiese Studies/Theological Studies 74
- [The Evolution of Biblical Hebrew Linguistics in South Africa: The Last 60 Years](https://md.research.elamur.ai/free/en/papers/hbo-2018-naude-evolution-biblical-hebrew-linguistics-south/) — Jacobus A. Naudé, Cynthia L. Miller-Naudé · Ancient Hebrew
- [The Fact Extraction and VERification (FEVER) Shared Task](https://md.research.elamur.ai/free/en/papers/thorne-2018-fact-extraction-verification-fever-shared/) — James Thorne, Andreas Vlachos, Oana Cocarascu, et al. · Proceedings of the First Workshop on Fact…
- [The First Multilingual Surface Realisation Shared Task (SR'18): Overview and Evaluation Results](https://md.research.elamur.ai/free/en/papers/mille-2018-first-multilingual-surface-realisation-shared/) — Simon Mille, Anja Belz, Bernd Bohnet, et al. · Machine translation
- [The head the construct: Construct state nominals as a novel window to syntactic movement difficulties in hearing impairment](https://md.research.elamur.ai/free/en/papers/lingbulk-2018-friedmann-head-construct-construct-state-nominals/) — Naama Friedmann, Ronit Szterman, Adriana Belletti, et al. · Modern Hebrew
- [The Hebrew Universal Dependency Treebank: Past, Present and Future](https://md.research.elamur.ai/free/en/papers/ud-2018-sade-hebrew-universal-dependency-treebank-past/) — Shoval Sade, Amit Seker, Reut Tsarfaty · Modern Hebrew
- [The IIT Bombay English-Hindi Parallel Corpus](https://md.research.elamur.ai/free/en/papers/kunchukuttan-2018-iit-bombay-english-hindi-parallel/) — Anoop Kunchukuttan, Pratik Mehta, Pushpak Bhattacharyya · Proceedings of the Eleventh International…
- [The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation](https://md.research.elamur.ai/free/en/papers/klie-2018-inception-platform-machine-assisted-knowledge/) — Jan-Christoph Klie, Michael Bugert, Beto Boullosa, et al. · Proceedings of the 27th International…
- [The NarrativeQA Reading Comprehension Challenge](https://md.research.elamur.ai/free/en/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/) — Tomáš Kočiský, Jonathan Schwarz, Phil Blunsom, et al. · English
- [The Natural Language Decathlon: Multitask Learning as Question Answering](https://md.research.elamur.ai/free/en/papers/mccann-2018-natural-language-decathlon-multitask-learning/) — Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al. · arXiv:1806.08730
- [The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks](https://md.research.elamur.ai/free/en/papers/carlini-2018-secret-sharer-evaluating-testing-unintended/) — Nicholas Carlini, Chang Liu, Ulfar Erlingsson, et al. · arXiv:1802.08232
- [The semantic transparency of English compound nouns](https://md.research.elamur.ai/free/en/papers/schafer-2018-semantic-transparency-english-compound/) — Martin Schäfer · English
- [They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking](https://md.research.elamur.ai/free/en/papers/zhou-2018-they-exist-introducing-plural-mentions/) — Ethan Zhou, Jinho D. Choi · Proceedings of the 27th International…
- [THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM](https://md.research.elamur.ai/free/en/papers/wu-2018-thu-ngn-semeval-2018-task/) — Chuhan Wu, Fangzhao Wu, Junxin Liu, et al. · Proceedings of the 12th International Workshop…
- [Tied Multitask Learning for Neural Speech Translation](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2018-tied-multitask-learning-neural-speech/) — Antonios Anastasopoulos, David Chiang · Proceedings of the 2018 Conference of the North…
- [Towards a complex analysis of Wayihî + T constructions in Biblical Hebrew](https://md.research.elamur.ai/free/en/papers/hbo-2018-westbury-towards-complex-analysis-wayihi-t/) — Josh Westbury, Alexander Andrason · Ancient Hebrew
- [Towards Coreference for Literary Text: Analyzing Domain-Specific Phenomena](https://md.research.elamur.ai/free/en/papers/roesiger-2018-coreference-literary-text-analyzing-domain/) — Ina Roesiger, Sarah Schulz, Nils Reiter · Proceedings of the Second Joint SIGHUM Workshop…
- [Towards Exploiting Background Knowledge for Building Conversation Systems](https://md.research.elamur.ai/free/en/papers/moghe-2018-exploiting-background-knowledge-building-conversation/) — Nikita Moghe, Siddhartha Arora, Suman Banerjee, et al. · Proceedings of the 2018 Conference on Empirical…
- [Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/ud-2018-arakelyan-jointud-part-speech-tagging-lemmatization/) — Gor Arakelyan, Karen Hambardzumyan, Hrant Khachatrian · English
- [Towards Robust and Privacy-preserving Text Representations](https://md.research.elamur.ai/free/en/papers/li-2018-robust-privacy-preserving-text-representations/) — Yitong Li, Timothy Baldwin, Trevor Cohn · Proceedings of the 56th Annual Meeting of the…
- [Training Millions of Personalized Dialogue Agents](https://md.research.elamur.ai/free/en/papers/mazare-2018-training-millions-personalized-dialogue-agents/) — Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, et al. · Proceedings of the 2018 Conference on Empirical…
- [Training Tips for the Transformer Model](https://md.research.elamur.ai/free/en/papers/popel-2018-training-tips-transformer-model/) — Martin Popel, Ondřej Bojar · arXiv:1804.00247 · The Prague Bulletin of…
- [Transformation Networks for Target-Oriented Sentiment Classification](https://md.research.elamur.ai/free/en/papers/li-2018-transformation-networks-target-oriented-sentiment/) — Xin Li, Lidong Bing, Wai Lam, et al. · Proceedings of the 56th Annual Meeting of the…
- [Trivial Transfer Learning for Low-Resource Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/kocmi-2018-trivial-transfer-learning-low-resource/) — Tom Kocmi, Ondřej Bojar · Proceedings of the Third Conference on Machine…
- [TVM: An Automated End-to-End Optimizing Compiler for Deep Learning](https://md.research.elamur.ai/free/en/papers/chen-2018-tvm-automated-end-end-optimizing/) — Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al. · arXiv:1802.04799
- [TVQA: Localized, Compositional Video Question Answering](https://md.research.elamur.ai/free/en/papers/lei-2018-tvqa-localized-compositional-video-question/) — Jie Lei, Licheng Yu, Mohit Bansal, et al. · Proceedings of the 2018 Conference on Empirical…
- [Twitter Universal Dependency Parsing for African-American and Mainstream American English](https://md.research.elamur.ai/free/en/papers/ud-2018-blodgett-twitter-universal-dependency-parsing-african/) — Su Lin Blodgett, Johnny Wei, Brendan O'Connor · English
- [TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification](https://md.research.elamur.ai/free/en/papers/yin-2018-twowingos-two-wing-optimization-strategy/) — Wenpeng Yin, Dan Roth · Proceedings of the 2018 Conference on Empirical…
- [UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task](https://md.research.elamur.ai/free/en/papers/ud-2018-straka-udpipe-2-0-prototype-conll/) — Milan Straka · English
- [UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification](https://md.research.elamur.ai/free/en/papers/hanselowski-2018-ukp-athene-multi-sentence-textual/) — Andreas Hanselowski, Hao Zhang, Zile Li, et al. · Proceedings of the First Workshop on Fact…
- [UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction](https://md.research.elamur.ai/free/en/papers/mcinnes-2018-umap-uniform-manifold-approximation-projection/) — Leland McInnes, John Healy, James Melville · arXiv:1802.03426
- [Underspecified Universal Dependency Structures as Inputs for Multilingual Surface Realisation](https://md.research.elamur.ai/free/en/papers/mille-2018-underspecified-universal-dependency-structures-as/) — Simon Mille, Anja Belz, Bernd Bohnet, et al. · Machine translation
- [Unified Guidelines and Resources for Arabic Dialect Orthography](https://md.research.elamur.ai/free/en/papers/habash-2018-unified-guidelines-resources-arabic-dialect/) — Nizar Habash, Fadhl Eryani, Salam Khalifa, et al. · Proceedings of the Eleventh International…
- [Unified Pragmatic Models for Generating and Following Instructions](https://md.research.elamur.ai/free/en/papers/fried-2018-unified-pragmatic-models-generating-following/) — Daniel Fried, Jacob Andreas, Dan Klein · Proceedings of the 2018 Conference of the North…
- [Universal Dependencies and Quantitative Typological Trends. A Case Study on Word Order](https://md.research.elamur.ai/free/en/papers/alzetta-2018-universal-dependencies-quantitative-typological-trends/) — Chiara Alzetta, Felice Dell'Orletta, Simonetta Montemagni, et al. · Proceedings of the Eleventh International…
- [Universal Dependencies for Amharic](https://md.research.elamur.ai/free/en/papers/ud-2018-seyoum-universal-dependencies-amharic/) — Binyam Ephrem Seyoum, Yusuke Miyao, Baye Yimam Mekonnen · Semitic languages
- [Universal Dependencies Version 2 for Japanese](https://md.research.elamur.ai/free/en/papers/asahara-2018-universal-dependencies-version-2-japanese/) — Masayuki Asahara, Hiroshi Kanayama, Takaaki Tanaka, et al. · Proceedings of the Eleventh International…
- [Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task](https://md.research.elamur.ai/free/en/papers/ud-2018-seker-universal-morpho-syntactic-parsing-contribution/) — Amit Seker, Amir More, Reut Tsarfaty · Modern Hebrew
- [Universal Neural Machine Translation for Extremely Low Resource Languages](https://md.research.elamur.ai/free/en/papers/gu-2018-universal-neural-machine-translation-extremely/) — Jiatao Gu, Hany Hassan, Jacob Devlin, et al. · Proceedings of the 2018 Conference of the North…
- [Universal Sentence Encoder](https://md.research.elamur.ai/free/en/papers/cer-2018-universal-sentence-encoder/) — Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al. · arXiv:1803.11175
- [Universal Sentence Encoder for English](https://md.research.elamur.ai/free/en/papers/cer-2018-universal-sentence-encoder-english/) — Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al. · Proceedings of the 2018 Conference on Empirical…
- [Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach](https://md.research.elamur.ai/free/en/papers/xu-2018-unpaired-sentiment-sentiment-translation-cycled/) — Jingjing Xu, Xu Sun, Qi Zeng, et al. · Proceedings of the 56th Annual Meeting of the…
- [Unrestricted Bridging Resolution](https://md.research.elamur.ai/free/en/papers/hou-2018-unrestricted-bridging-resolution/) — Yufang Hou, Katja Markert, Michael Strube · English
- [Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features](https://md.research.elamur.ai/free/en/papers/pagliardini-2018-unsupervised-learning-sentence-embeddings-compositional/) — Matteo Pagliardini, Prakhar Gupta, Martin Jaggi · Proceedings of the 2018 Conference of the North…
- [Unsupervised Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/artetxe-2018-unsupervised-statistical-machine-translation/) — Mikel Artetxe, Gorka Labaka, Eneko Agirre · Proceedings of the 2018 Conference on Empirical…
- [Unsupervised Text Style Transfer using Language Models as Discriminators](https://md.research.elamur.ai/free/en/papers/yang-2018-unsupervised-text-style-transfer-using/) — Zichao Yang, Zhiting Hu, Chris Dyer, et al. · arXiv:1805.11749
- [Using active learning to expand training data for implicit discourse relation recognition](https://md.research.elamur.ai/free/en/papers/xu-2018-active-learning-expand-training-data/) — Yang Xu, Yu Hong, Huibin Ruan, et al. · Proceedings of the 2018 Conference on Empirical…
- [Using Hedge Detection to Improve Committed Belief Tagging](https://md.research.elamur.ai/free/en/papers/ulinski-2018-hedge-detection-improve-committed-belief/) — Morgan Ulinski, Seth Benjamin, Julia Hirschberg · English
- [Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers](https://md.research.elamur.ai/free/en/papers/moosavi-2018-linguistic-features-improve-generalization-capability/) — Nafise Sadat Moosavi, Michael Strube · English
- [We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter](https://md.research.elamur.ai/free/en/papers/hee-2018-we-usually-don-t-like/) — Cynthia Van Hee, Els Lefever, Véronique Hoste · English
- [What can we learn from Semantic Tagging?](https://md.research.elamur.ai/free/en/papers/abdou-2018-what-can-we-learn-semantic/) — Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar, et al. · Proceedings of the 2018 Conference on Empirical…
- [What do RNN Language Models Learn about Filler-Gap Dependencies?](https://md.research.elamur.ai/free/en/papers/wilcox-2018-rnn-language-models-learn-about/) — Ethan Wilcox, Roger Levy, Takashi Morita, et al. · arXiv:1809.00042
- [What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties](https://md.research.elamur.ai/free/en/papers/conneau-2018-what-you-can-cram-into/) — Alexis Conneau, German Kruszewski, Guillaume Lample, et al. · Proceedings of the 56th Annual Meeting of the…
- [When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?](https://md.research.elamur.ai/free/en/papers/qi-2018-when-why-are-pre-trained/) — Ye Qi, Devendra Sachan, Matthieu Felix, et al. · Proceedings of the 2018 Conference of the North…
- [WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony](https://md.research.elamur.ai/free/en/papers/rohanian-2018-wlv-semeval-2018-task-3/) — Omid Rohanian, Shiva Taslimipoor, Richard Evans, et al. · Proceedings of the 12th International Workshop…
- [Word Affect Intensities](https://md.research.elamur.ai/free/en/papers/mohammad-2018-word-affect-intensities/) — Saif Mohammad · Proceedings of the Eleventh International…
- [WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference](https://md.research.elamur.ai/free/en/papers/jansen-2018-worldtree-corpus-explanation-graphs-elementary/) — Peter Jansen, Elizabeth Wainwright, Steven Marmorstein, et al. · Proceedings of the Eleventh International…
- [Zero Pronoun Resolution with Attention-based Neural Network](https://md.research.elamur.ai/free/en/papers/yin-2018-zero-pronoun-resolution-attention-based/) — Qingyu Yin, Yu Zhang, Weinan Zhang, et al. · Proceedings of the 27th International…
- [Zero-Shot Transfer Learning for Event Extraction](https://md.research.elamur.ai/free/en/papers/huang-2018-zero-shot-transfer-learning-event/) — Lifu Huang, Heng Ji, Kyunghyun Cho, et al. · Proceedings of the 56th Annual Meeting of the…
- [Разрешение неоднозначности сфер действия в письменных текстах (на материале английского языка)](https://md.research.elamur.ai/free/en/papers/apresjan-2018-resolving-scope-ambiguity-written/) — Апресян В. Ю. · Компьютерная лингвистика и интеллектуальные…

[← prev](https://md.research.elamur.ai/free/en/papers/2018/page/3/) [1](https://md.research.elamur.ai/free/en/papers/2018/) [2](https://md.research.elamur.ai/free/en/papers/2018/page/2/) [3](https://md.research.elamur.ai/free/en/papers/2018/page/3/) **4**