---
title: "Papers of 2018 — page 3"
description: "Papers of 2018: 322 papers of the Elamur Research library — what each work is about in our own words, its ideas, references and who cites it."
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# Papers of 2018 — page 3

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

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

- [Noise-Robust Morphological Disambiguation for Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/naacl-2018-zalmout-noise-robust-morphological-disambiguation-dialectal/) — Nasser Zalmout, Alexander Erdmann, Nizar Habash · Semitic languages
- [Normalizing Early English Letters to Present-day English Spelling](https://md.research.elamur.ai/free/en/papers/hamalainen-2018-normalizing-early-english-letters-present/) — Mika Hämäläinen, Tanja Säily, Jack Rueter, et al. · English
- [Object Hallucination in Image Captioning](https://md.research.elamur.ai/free/en/papers/rohrbach-2018-object-hallucination-image-captioning/) — Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, et al. · Proceedings of the 2018 Conference on Empirical…
- [Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words](https://md.research.elamur.ai/free/en/papers/mohammad-2018-obtaining-reliable-human-ratings-valence/) — Saif Mohammad · Proceedings of the 56th Annual Meeting of the…
- [On the Impact of Various Types of Noise on Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/khayrallah-2018-impact-various-types-noise-neural/) — Huda Khayrallah, Philipp Koehn · Proceedings of the 2nd Workshop on Neural…
- [On the Limitations of Unsupervised Bilingual Dictionary Induction](https://md.research.elamur.ai/free/en/papers/sogaard-2018-limitations-unsupervised-bilingual-dictionary-induction/) — Anders Søgaard, Sebastian Ruder, Ivan Vulić · Proceedings of the 56th Annual Meeting of the…
- [OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification](https://md.research.elamur.ai/free/en/papers/vajjala-2018-onestopenglish-corpus-new-corpus-automatic/) — Sowmya Vajjala, Ivana Lučić · Proceedings of the Thirteenth Workshop on…
- [OpenSubtitles2018: Statistical Rescoring of Sentence Alignments in Large, Noisy Parallel Corpora](https://md.research.elamur.ai/free/en/papers/lison-2018-opensubtitles2018-statistical-rescoring-sentence-alignments/) — Pierre Lison, Jörg Tiedemann, Milen Kouylekov · Proceedings of the Eleventh International…
- [Overview of the EVALITA 2018 Task on Irony Detection in Italian Tweets (IronITA)](https://md.research.elamur.ai/free/en/papers/cignarella-2018-overview-evalita-2018-task-irony/) — Alessandra Teresa Cignarella, Simona Frenda, Valerio Basile, et al. · Proceedings of the Sixth Evaluation Campaign of…
- [ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations](https://md.research.elamur.ai/free/en/papers/wieting-2018-paranmt-50m-pushing-limits-paraphrastic/) — John Wieting, Kevin Gimpel · Proceedings of the 56th Annual Meeting of the…
- [Paraphrase Generation with Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/li-2018-paraphrase-generation-deep-reinforcement-learning/) — Zichao Li, Xin Jiang, Lifeng Shang, et al. · Proceedings of the 2018 Conference on Empirical…
- [ParCorFull: a Parallel Corpus Annotated with Full Coreference](https://md.research.elamur.ai/free/en/papers/koltunski-2018-parcorfull-parallel-corpus-annotated-full/) — Ekaterina Lapshinova-Koltunski, Christian Hardmeier, Pauline Krielke · Proceedings of the Eleventh International…
- [Parser combinators for Tigrinya and Oromo morphology](https://md.research.elamur.ai/free/en/papers/lingbulk-2018-littell-parser-combinators-tigrinya-oromo-morphology/) — Patrick Littell, Tom McCoy, Na-Rae Han, et al. · Semitic languages
- [Parsing Tweets into Universal Dependencies](https://md.research.elamur.ai/free/en/papers/ud-2018-liu-parsing-tweets-into-universal-dependencies/) — Yijia Liu, Yi Zhu, Wanxiang Che, et al. · English
- [Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment](https://md.research.elamur.ai/free/en/papers/tsuchiya-2018-performance-impact-caused-hidden-bias/) — Masatoshi Tsuchiya · Proceedings of the Eleventh International…
- [Personalizing Dialogue Agents: I have a dog, do you have pets too?](https://md.research.elamur.ai/free/en/papers/zhang-2018-personalizing-dialogue-agents-i-have/) — Saizheng Zhang, Emily Dinan, Jack Urbanek, et al. · Proceedings of the 56th Annual Meeting of the…
- [Planning, Inference and Pragmatics in Sequential Language Games](https://md.research.elamur.ai/free/en/papers/khani-2018-planning-inference-pragmatics-sequential-language/) — Fereshte Khani, Noah D. Goodman, Percy Liang · Research library
- [Pragmatically Informative Image Captioning with Character-Level Inference](https://md.research.elamur.ai/free/en/papers/gordon-2018-pragmatically-informative-image-captioning-character/) — Reuben Cohn-Gordon, Noah Goodman, Christopher Potts · Proceedings of the 2018 Conference of the North…
- [PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/chen-2018-preco-large-scale-dataset-preschool/) — Hong Chen, Zhenhua Fan, Hao Lu, et al. · English
- [Predictive power of word surprisal for reading times is a linear function of language model quality](https://md.research.elamur.ai/free/en/papers/goodkind-2018-predictive-power-word-surprisal-reading/) — Adam Goodkind, Klinton Bicknell · Proceedings of the 8th Workshop on Cognitive…
- [Primary and secondary discourse connectives: definitions and lexicons](https://md.research.elamur.ai/free/en/papers/danlos-2018-primary-secondary-discourse-connectives-definitions/) — Laurence Danlos, Katerina Rysova, Magdalena Rysova, et al. · Research library
- [Prompsit's submission to WMT 2018 Parallel Corpus Filtering shared task](https://md.research.elamur.ai/free/en/papers/cartagena-2018-prompsit-s-submission-wmt-2018/) — Víctor M. Sánchez-Cartagena, Marta Bañón, Sergio Ortiz-Rojas, et al. · Proceedings of the Third Conference on Machine…
- [QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension](https://md.research.elamur.ai/free/en/papers/yu-2018-qanet-combining-local-convolution-global/) — Adams Wei Yu, David Dohan, Minh-Thang Luong, et al. · arXiv:1804.09541
- [QuAC: Question Answering in Context](https://md.research.elamur.ai/free/en/papers/choi-2018-quac-question-answering-context/) — Eunsol Choi, He He, Mohit Iyyer, et al. · Proceedings of the 2018 Conference on Empirical…
- [QUD-Based Annotation of Discourse Structure and Information Structure: Tool and Evaluation](https://md.research.elamur.ai/free/en/papers/kuthy-2018-qud-based-annotation-discourse-structure/) — Kordula De Kuthy, Nils Reiter, Arndt Riester · English
- [Rapid Adaptation of Neural Machine Translation to New Languages](https://md.research.elamur.ai/free/en/papers/neubig-2018-rapid-adaptation-neural-machine-translation/) — Graham Neubig, Junjie Hu · Proceedings of the 2018 Conference on Empirical…
- [Reasoning with Sarcasm by Reading In-Between](https://md.research.elamur.ai/free/en/papers/tay-2018-reasoning-sarcasm-reading-between/) — Yi Tay, Anh Tuan Luu, Siu Cheung Hui, et al. · Proceedings of the 56th Annual Meeting of the…
- [Reciprocal expressions and the Maximal Typicality Hypothesis](https://md.research.elamur.ai/free/en/papers/lingbulk-2018-poortman-reciprocal-expressions-maximal-typicality-hypothesis/) — Eva B. Poortman, Marijn E. Struiksma, Nir Kerem, et al. · Modern Hebrew
- [ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension](https://md.research.elamur.ai/free/en/papers/zhang-2018-record-bridging-gap-between-human/) — Sheng Zhang, Xiaodong Liu, Jingjing Liu, et al. · arXiv:1810.12885
- [Reducing Gender Bias in Abusive Language Detection](https://md.research.elamur.ai/free/en/papers/park-2018-reducing-gender-bias-abusive-language/) — Ji Ho Park, Jamin Shin, Pascale Fung · Proceedings of the 2018 Conference on Empirical…
- [Relational inductive biases, deep learning, and graph networks](https://md.research.elamur.ai/free/en/papers/battaglia-2018-relational-inductive-biases-deep-learning/) — Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al. · arXiv:1806.01261
- [Representation Learning with Contrastive Predictive Coding](https://md.research.elamur.ai/free/en/papers/oord-2018-representation-learning-contrastive-predictive-coding/) — Aaron van den Oord, Yazhe Li, Oriol Vinyals · arXiv:1807.03748
- [Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew](https://md.research.elamur.ai/free/en/papers/coling-2018-amram-representations-architectures-neural-sentiment-analysis/) — Adam Amram, Anat Ben David, Reut Tsarfaty · Modern Hebrew
- [Representing Social Media Users for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/kolchinski-2018-representing-social-media-users-sarcasm/) — Y. Alex Kolchinski, Christopher Potts · Proceedings of the 2018 Conference on Empirical…
- [Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization](https://md.research.elamur.ai/free/en/papers/dean-2018-resolving-event-coreference-supervised-representation/) — Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup · Proceedings of the Seventh Joint Conference on…
- [Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance](https://md.research.elamur.ai/free/en/papers/ma-2018-results-wmt18-metrics-shared-task/) — Qingsong Ma, Ondřej Bojar, Yvette Graham · Proceedings of the Third Conference on Machine…
- [Rhotic Phonemes in Semitic Languages – The Case of Classical Arabic and Biblical Hebrew](https://md.research.elamur.ai/free/en/papers/hbo-2018-pietrzak-rhotic-phonemes-semitic-languages-case/) — Bartosz Pietrzak · Ancient Hebrew
- [Rule- and Learning-based Methods for Bridging Resolution in the ARRAU Corpus](https://md.research.elamur.ai/free/en/papers/roesiger-2018-rule-learning-based-methods-bridging/) — Ina Roesiger · Proceedings of the First Workshop on…
- [RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/shimanaka-2018-ruse-regressor-sentence-embeddings-automatic/) — Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi · Proceedings of the Third Conference on Machine…
- [SACR: A Drag-and-Drop Based Tool for Coreference Annotation](https://md.research.elamur.ai/free/en/papers/oberle-2018-sacr-drag-drop-based-tool/) — Bruno Oberle · Proceedings of the Eleventh International…
- [Sarcasm Analysis Using Conversation Context](https://md.research.elamur.ai/free/en/papers/ghosh-2018-sarcasm-analysis-conversation-context/) — Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan · Research library
- [Sarcasm Target Identification: Dataset and An Introductory Approach](https://md.research.elamur.ai/free/en/papers/joshi-2018-sarcasm-target-identification-dataset-introductory/) — Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, et al. · Proceedings of the Eleventh International…
- [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 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
- [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
- [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…
- [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
- [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 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 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 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 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…
- [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 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
- [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
- [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…
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