---
title: "Papers of 2018 — page 1"
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/"
---
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# Papers of 2018 — page 1

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

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- [(*)ABA in Germanic verbs](https://md.research.elamur.ai/free/en/papers/andersson-2018-aba-germanic-verbs/) — Samuel Andersson · English
- [A Call for Clarity in Reporting BLEU Scores](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/) — Matt Post · Machine translation
- [A Characterwise Windowed Approach to Hebrew Morphological Segmentation](https://md.research.elamur.ai/free/en/papers/aclbulk-2018-zeldes-characterwise-windowed-approach-hebrew-morphological/) — Amir Zeldes · Ancient Hebrew
- [A Corpus for Multilingual Document Classification in Eight Languages](https://md.research.elamur.ai/free/en/papers/schwenk-2018-corpus-multilingual-document-classification-eight/) — Holger Schwenk, Xian Li · Proceedings of the Eleventh International…
- [A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature](https://md.research.elamur.ai/free/en/papers/nye-2018-corpus-multi-level-annotations-patients/) — Benjamin Nye, Junyi Jessy Li, Roma Patel, et al. · Proceedings of the 56th Annual Meeting of the…
- [A Dataset for Document Grounded Conversations](https://md.research.elamur.ai/free/en/papers/zhou-2018-dataset-document-grounded-conversations/) — Kangyan Zhou, Shrimai Prabhumoye, Alan W Black · Proceedings of the 2018 Conference on Empirical…
- [A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications](https://md.research.elamur.ai/free/en/papers/kang-2018-dataset-peer-reviews-peerread-collection/) — Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, et al. · Proceedings of the 2018 Conference of the North…
- [A Dependency Perspective on RST Discourse Parsing and Evaluation](https://md.research.elamur.ai/free/en/papers/morey-2018-dependency-perspective-rst-discourse-parsing/) — Mathieu Morey, Philippe Muller, Nicholas Asher · English
- [A Deterministic Algorithm for Bridging Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/hou-2018-deterministic-algorithm-bridging-anaphora-resolution/) — Yufang Hou · Proceedings of the 2018 Conference on Empirical…
- [A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents](https://md.research.elamur.ai/free/en/papers/cohan-2018-discourse-aware-attention-model-abstractive/) — Arman Cohan, Franck Dernoncourt, Doo Soon Kim, et al. · arXiv:1804.05685
- [A Distributional and Orthographic Aggregation Model for English Derivational Morphology](https://md.research.elamur.ai/free/en/papers/deutsch-2018-distributional-orthographic-aggregation-model-english/) — Daniel Deutsch, John Hewitt, Dan Roth · English
- [A fragment from a Commentary on the Andalusi Books of Hebrew Verbs (T-S Ar 31.7)](https://md.research.elamur.ai/free/en/papers/delgado-2018-fragment-commentary-andalusi-books-hebrew/) — José Martínez Delgado · Astarté 1
- [A Graph-to-Sequence Model for AMR-to-Text Generation](https://md.research.elamur.ai/free/en/papers/song-2018-graph-sequence-model-amr-text/) — Linfeng Song, Yue Zhang, Zhiguo Wang, et al. · Proceedings of the 56th Annual Meeting of the…
- [A Large Self-Annotated Corpus for Sarcasm](https://md.research.elamur.ai/free/en/papers/khodak-2018-large-self-annotated-corpus-sarcasm/) — Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli · Proceedings of the Eleventh International…
- [A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/muller-2018-large-scale-test-set-evaluation/) — Mathias Müller, Annette Rios, Elena Voita, et al. · Proceedings of the Third Conference on Machine…
- [A neural interlingua for multilingual machine translation](https://md.research.elamur.ai/free/en/papers/lu-2018-neural-interlingua-multilingual-machine-translation/) — Yichao Lu, Phillip Keung, Faisal Ladhak, et al. · Proceedings of the Third Conference on Machine…
- [A Neural Layered Model for Nested Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/ju-2018-neural-layered-model-nested-named/) — Meizhi Ju, Makoto Miwa, Sophia Ananiadou · Proceedings of the 2018 Conference of the North…
- [A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network](https://md.research.elamur.ai/free/en/papers/nguyen-2018-novel-embedding-model-knowledge-base/) — Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, et al. · Proceedings of the 2018 Conference of the North…
- [A POS Tagging Model Designed for Learner English](https://md.research.elamur.ai/free/en/papers/nagata-2018-pos-tagging-model-adapted-learner/) — Ryo Nagata, Tomoya Mizumoto, Yuta Kikuchi, et al. · English
- [A Predictive Model for Notional Anaphora in English](https://md.research.elamur.ai/free/en/papers/zeldes-2018-predictive-model-notional-anaphora-english/) — Amir Zeldes · English
- [A Probabilistic Annotation Model for Crowdsourcing Coreference](https://md.research.elamur.ai/free/en/papers/paun-2018-probabilistic-annotation-model-crowdsourcing-coreference/) — Silviu Paun, Jon Chamberlain, Udo Kruschwitz, et al. · Proceedings of the 2018 Conference on Empirical…
- [A Retrospective Analysis of the Fake News Challenge Stance-Detection Task](https://md.research.elamur.ai/free/en/papers/hanselowski-2018-retrospective-analysis-fake-news-challenge/) — Andreas Hanselowski, Avinesh PVS, Benjamin Schiller, et al. · Proceedings of the 27th International…
- [A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings](https://md.research.elamur.ai/free/en/papers/artetxe-2018-vecmap-unsupervised/) — Mikel Artetxe, Gorka Labaka, Eneko Agirre · ACL 2018 (Melbourne)
- [A Span-Extraction Dataset for Chinese Machine Reading Comprehension](https://md.research.elamur.ai/free/en/papers/cui-2018-span-extraction-dataset-chinese/) — Yiming Cui, Ting Liu, Wanxiang Che, et al. · arXiv:1810.07366 · EMNLP 2019 5886-5891
- [A Structured Review of the Validity of BLEU](https://md.research.elamur.ai/free/en/papers/reiter-2018-structured-review-validity-bleu/) — Ehud Reiter · Machine translation
- [A Structured Syntax-Semantics Interface for English-AMR Alignment](https://md.research.elamur.ai/free/en/papers/szubert-2018-structured-syntax-semantics-interface-english/) — Ida Szubert, Adam Lopez, Nathan Schneider · Machine translation
- [A Study of Reinforcement Learning for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2018-study-reinforcement-learning-neural-machine/) — Lijun Wu, Fei Tian, Tao Qin, et al. · Proceedings of the 2018 Conference on Empirical…
- [A Stylometric Inquiry into Hyperpartisan and Fake News](https://md.research.elamur.ai/free/en/papers/potthast-2018-stylometric-inquiry-into-hyperpartisan-fake/) — Martin Potthast, Johannes Kiesel, Kevin Reinartz, et al. · Proceedings of the 56th Annual Meeting of the…
- [A Survey of Domain Adaptation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/chu-2018-survey-domain-adaptation-neural-machine/) — Chenhui Chu, Rui Wang · Proceedings of the 27th International…
- [A Survey on Recent Advances in Named Entity Recognition from Deep Learning models](https://md.research.elamur.ai/free/en/papers/yadav-2018-survey-recent-advances-named-entity/) — Vikas Yadav, Steven Bethard · Proceedings of the 27th International…
- [A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss](https://md.research.elamur.ai/free/en/papers/hsu-2018-unified-model-extractive-abstractive-summarization/) — Wan-Ting Hsu, Chieh-Kai Lin, Ming-Ying Lee, et al. · Proceedings of the 56th Annual Meeting of the…
- [Abstract Meaning Representation for Multi-Document Summarization](https://md.research.elamur.ai/free/en/papers/liao-2018-abstract-meaning-representation-multi-document/) — Kexin Liao, Logan Lebanoff, Fei Liu · Proceedings of the 27th International…
- [Achieving Human Parity on Automatic Chinese to English News Translation](https://md.research.elamur.ai/free/en/papers/hassan-2018-achieving-human-parity-automatic-chinese/) — Hany Hassan, Anthony Aue, Chang Chen, et al. · arXiv:1803.05567
- [Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification](https://md.research.elamur.ai/free/en/papers/chen-2018-adversarial-deep-averaging-networks-cross/) — Xilun Chen, Yu Sun, Ben Athiwaratkun, et al. · Transactions of the Association for…
- [Adversarial Example Generation with Syntactically Controlled Paraphrase Networks](https://md.research.elamur.ai/free/en/papers/iyyer-2018-adversarial-example-generation-syntactically-controlled/) — Mohit Iyyer, John Wieting, Kevin Gimpel, et al. · Proceedings of the 2018 Conference of the North…
- [Adversarial Removal of Demographic Attributes from Text Data](https://md.research.elamur.ai/free/en/papers/elazar-2018-adversarial-removal-demographic-attributes-text/) — Yanai Elazar, Yoav Goldberg · Proceedings of the 2018 Conference on Empirical…
- [Aggression-annotated Corpus of Hindi-English Code-mixed Data](https://md.research.elamur.ai/free/en/papers/kumar-2018-aggression-annotated-corpus-hindi-english/) — Ritesh Kumar, Aishwarya N. Reganti, Akshit Bhatia, et al. · Proceedings of the Eleventh International…
- [All Roads Lead to UD: Converting Stanford and Penn Parses to English Universal Dependencies with Multilayer Annotations](https://md.research.elamur.ai/free/en/papers/peng-2018-all-roads-lead-ud-converting/) — Siyao Peng, Amir Zeldes · Mova's core list
- [AllenNLP: A Deep Semantic Natural Language Processing Platform](https://md.research.elamur.ai/free/en/papers/gardner-2018-allennlp-deep-semantic-natural-language/) — Matt Gardner, Joel Grus, Mark Neumann, et al. · arXiv:1803.07640
- [An Analysis of Encoder Representations in Transformer-Based Machine Translation](https://md.research.elamur.ai/free/en/papers/raganato-2018-analysis-encoder-representations-transformer-based/) — Alessandro Raganato, Jörg Tiedemann · Proceedings of the 2018 EMNLP Workshop…
- [An Arabic Morphological Analyzer and Generator with Copious Features](https://md.research.elamur.ai/free/en/papers/aclbulk-2018-taji-arabic-morphological-analyzer-generator-copious/) — Dima Taji, Salam Khalifa, Ossama Obeid, et al. · Semitic languages
- [An efficient framework for learning sentence representations](https://md.research.elamur.ai/free/en/papers/logeswaran-2018-efficient-framework-learning-sentence-representations/) — Lajanugen Logeswaran, Honglak Lee · arXiv:1803.02893
- [An Italian Twitter Corpus of Hate Speech against Immigrants](https://md.research.elamur.ai/free/en/papers/sanguinetti-2018-italian-twitter-corpus-hate-speech/) — Manuela Sanguinetti, Fabio Poletto, Cristina Bosco, et al. · Proceedings of the Eleventh International…
- [An OpenNMT Model to Arabic Broken Plurals](https://md.research.elamur.ai/free/en/papers/aclbulk-2018-issa-opennmt-model-arabic-broken-plurals/) — Elsayed Issa · Semitic languages
- [Analyzing Uncertainty in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/ott-2018-analyzing-uncertainty-neural-machine-translation/) — Myle Ott, Michael Auli, David Grangier, et al. · arXiv:1803.00047
- [Anaphora Resolution for Twitter Conversations: An Exploratory Study](https://md.research.elamur.ai/free/en/papers/akta-2018-anaphora-resolution-twitter-conversations-exploratory/) — Berfin Aktaş, Tatjana Scheffler, Manfred Stede · Proceedings of the First Workshop on…
- [Anaphora Resolution with the ARRAU Corpus](https://md.research.elamur.ai/free/en/papers/poesio-2018-anaphora-resolution-arrau-corpus/) — Massimo Poesio, Yulia Grishina, Varada Kolhatkar, et al. · Proceedings of the First Workshop on…
- [Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey](https://md.research.elamur.ai/free/en/papers/kolhatkar-2018-survey-anaphora-non-nominal-antecedents/) — Varada Kolhatkar, Adam Roussel, Stefanie Dipper, et al. · English
- [Annotation Guidelines for Questions under Discussion and Information Structure](https://md.research.elamur.ai/free/en/papers/pragmatics-2018-riester-annotation-guidelines-questions-under/) — Arndt Riester, Lisa Brunetti, Kordula De Kuthy · English
- [Annotation of Tense and Aspect Semantics for Sentential AMR](https://md.research.elamur.ai/free/en/papers/donatelli-2018-annotation-tense-aspect-semantics-sentential/) — Lucia Donatelli, Michael Regan, William Croft, et al. · Machine translation
- [Application and Analysis of a Multi-layered Scheme for Irony on the Italian Twitter Corpus TWITTIRÒ](https://md.research.elamur.ai/free/en/papers/cignarella-2018-application-analysis-multi-layered-scheme/) — Alessandra Teresa Cignarella, Cristina Bosco, Viviana Patti, et al. · Proceedings of the Eleventh International…
- [Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/ud-2018-yu-approximate-dynamic-oracle-dependency-parsing/) — Xiang Yu, Ngoc Thang Vu, Jonas Kuhn · English
- [Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/toral-2018-attaining-unattainable-reassessing-claims-human/) — Antonio Toral, Sheila Castilho, Ke Hu, et al. · Proceedings of the Third Conference on Machine…
- [Attributive Constructions in North-Eastern Neo-Aramaic](https://md.research.elamur.ai/free/en/papers/langsci-b123-gutman-attributive-constructions-north-eastern-neo/) — Ariel Gutman · Aramaic
- [Automated Fact Checking: Task Formulations, Methods and Future Directions](https://md.research.elamur.ai/free/en/papers/thorne-2018-automated-fact-checking-task-formulations/) — James Thorne, Andreas Vlachos · Proceedings of the 27th International…
- [Automatic Detection of Fake News](https://md.research.elamur.ai/free/en/papers/rosas-2018-automatic-detection-fake-news/) — Verónica Pérez-Rosas, Bennett Kleinberg, Alexandra Lefevre, et al. · Proceedings of the 27th International…
- [Automatic Prediction of Discourse Connectives](https://md.research.elamur.ai/free/en/papers/malmi-2018-automatic-prediction-discourse-connectives/) — Eric Malmi, Daniele Pighin, Sebastian Krause, et al. · Proceedings of the Eleventh International…
- [Automatic Stance Detection Using End-to-End Memory Networks](https://md.research.elamur.ai/free/en/papers/mohtarami-2018-automatic-stance-detection-end-end/) — Mitra Mohtarami, Ramy Baly, James Glass, et al. · Proceedings of the 2018 Conference of the North…
- [Automatic Thesaurus Construction for Modern Hebrew](https://md.research.elamur.ai/free/en/papers/lingbulk-2018-liebeskind-automatic-thesaurus-construction-modern-hebrew/) — Chaya Liebeskind, Ido Dagan, Jonathan Schler · Modern Hebrew
- [Automatically Selecting the Best Dependency Annotation Design with Dynamic Oracles](https://md.research.elamur.ai/free/en/papers/bank-2018-wisniewski-automatically-selecting-best-dependency-annotation/) — Guillaume Wisniewski, Ophélie Lacroix, François Yvon · English
- [Averaging Weights Leads to Wider Optima and Better Generalization](https://md.research.elamur.ai/free/en/papers/izmailov-2018-averaging-weights-leads-wider-optima/) — Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, et al. · arXiv:1803.05407
- [Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms](https://md.research.elamur.ai/free/en/papers/shen-2018-baseline-needs-more-love-simple/) — Dinghan Shen, Guoyin Wang, Wenlin Wang, et al. · Proceedings of the 56th Annual Meeting of the…
- [BASHI: A Corpus of Wall Street Journal Articles Annotated with Bridging Links](https://md.research.elamur.ai/free/en/papers/rosiger-2018-bashi-corpus-wall-street-journal/) — Ina Rösiger · Proceedings of the Eleventh International…
- [Benchmarking Aggression Identification in Social Media](https://md.research.elamur.ai/free/en/papers/kumar-2018-benchmarking-aggression-identification-social-media/) — Ritesh Kumar, Atul Kr. Ojha, Shervin Malmasi, et al. · Proceedings of the First Workshop on Trolling…
- [BinLin: A Simple Method of Dependency Tree Linearization](https://md.research.elamur.ai/free/en/papers/puzikov-2018-binlin-simple-method-dependency-tree/) — Yevgeniy Puzikov, Iryna Gurevych · Machine translation
- [Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers](https://md.research.elamur.ai/free/en/papers/gao-2018-black-box-generation-adversarial-text/) — Ji Gao, Jack Lanchantin, Mary Lou Soffa, et al. · arXiv:1801.04354
- [BLEU is Not Suitable for the Evaluation of Text Simplification](https://md.research.elamur.ai/free/en/papers/sulem-2018-bleu-is-not-suitable-evaluation/) — Elior Sulem, Omri Abend, Ari Rappoport · Proceedings of the 2018 Conference on Empirical…
- [Bottom-Up Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/gehrmann-2018-bottom-up-abstractive-summarization/) — Sebastian Gehrmann, Yuntian Deng, Alexander Rush · Proceedings of the 2018 Conference on Empirical…
- [BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages](https://md.research.elamur.ai/free/en/papers/heinzerling-2018-bpemb-tokenization-free-pre-trained/) — Benjamin Heinzerling, Michael Strube · Proceedings of the Eleventh International…
- [Breaking NLI Systems with Sentences that Require Simple Lexical Inferences](https://md.research.elamur.ai/free/en/papers/glockner-2018-breaking-nli-systems-sentences-that/) — Max Glockner, Vered Shwartz, Yoav Goldberg · English
- [Bridging resolution: Task definition, corpus resources and rule-based experiments](https://md.research.elamur.ai/free/en/papers/roesiger-2018-bridging-resolution-task-definition-corpus/) — Ina Roesiger, Arndt Riester, Jonas Kuhn · English
- [Build Fast and Accurate Lemmatization for Arabic](https://md.research.elamur.ai/free/en/papers/lingbulk-2018-mubarak-build-fast-accurate-lemmatization-arabic/) — Hamdy Mubarak · Semitic languages
- [CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction](https://md.research.elamur.ai/free/en/papers/xiao-2018-cail2018-large-scale-legal-dataset/) — Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, et al. · arXiv:1807.02478
- [CARER: Contextualized Affect Representations for Emotion Recognition](https://md.research.elamur.ai/free/en/papers/saravia-2018-carer-contextualized-affect-representations-emotion/) — Elvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, et al. · Proceedings of the 2018 Conference on Empirical…
- [CASCADE: Contextual Sarcasm Detection in Online Discussion Forums](https://md.research.elamur.ai/free/en/papers/hazarika-2018-cascade-contextual-sarcasm-detection-online/) — Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, et al. · Proceedings of the 27th International…
- [Chinese NER Using Lattice LSTM](https://md.research.elamur.ai/free/en/papers/zhang-2018-chinese-ner-lattice-lstm/) — Yue Zhang, Jie Yang · Proceedings of the 56th Annual Meeting of the…
- [Classical Structured Prediction Losses for Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/edunov-2018-classical-structured-prediction-losses-sequence/) — Sergey Edunov, Myle Ott, Michael Auli, et al. · Proceedings of the 2018 Conference of the North…
- [Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation](https://md.research.elamur.ai/free/en/papers/poliak-2018-collecting-diverse-natural-language-inference/) — Adam Poliak, Aparajita Haldar, Rachel Rudinger, et al. · Proceedings of the 2018 Conference on Empirical…
- [Colorless Green Recurrent Networks Dream Hierarchically](https://md.research.elamur.ai/free/en/papers/gulordava-2018-colorless-green-recurrent-networks-dream/) — Kristina Gulordava, Piotr Bojanowski, Edouard Grave, et al. · Proceedings of the 2018 Conference of the North…
- [Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning](https://md.research.elamur.ai/free/en/papers/sharma-2018-conceptual-captions-cleaned-hypernymed-image/) — Piyush Sharma, Nan Ding, Sebastian Goodman, et al. · Proceedings of the 56th Annual Meeting of the…
- [CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies](https://md.research.elamur.ai/free/en/papers/ud-2018-zeman-conll-2018-shared-task-multilingual/) — Daniel Zeman, Jan Hajič, Martin Popel, et al. · English
- [Constituency Parsing with a Self-Attentive Encoder](https://md.research.elamur.ai/free/en/papers/kitaev-2018-constituency-parsing-self-attentive-encoder/) — Nikita Kitaev, Dan Klein · arXiv:1805.01052
- [Constructing a Lexicon of English Discourse Connectives](https://md.research.elamur.ai/free/en/papers/das-2018-constructing-lexicon-english-discourse-connectives/) — Debopam Das, Tatjana Scheffler, Peter Bourgonje, et al. · English
- [Constructing an Annotated Resource for Part-Of-Speech Tagging of Mishnaic Hebrew](https://md.research.elamur.ai/free/en/papers/aclbulk-2018-giovannetti-constructing-annotated-resource-part-speech/) — Emiliano Giovannetti, Davide Albanesi, Andrea Bellandi, et al. · Ancient Hebrew
- [Constructing Datasets for Multi-hop Reading Comprehension Across Documents](https://md.research.elamur.ai/free/en/papers/welbl-2018-constructing-datasets-multi-hop-reading/) — Johannes Welbl, Pontus Stenetorp, Sebastian Riedel · Transactions of the Association for…
- [Construction of the Literature Graph in Semantic Scholar](https://md.research.elamur.ai/free/en/papers/ammar-2018-construction-literature-graph-semantic-scholar/) — Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, et al. · Proceedings of the 2018 Conference of the North…
- [Context-Aware Neural Machine Translation Learns Anaphora Resolution](https://md.research.elamur.ai/free/en/papers/voita-2018-context-aware-neural-machine-translation/) — Elena Voita, Pavel Serdyukov, Rico Sennrich, et al. · Proceedings of the 56th Annual Meeting of the…
- [Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations](https://md.research.elamur.ai/free/en/papers/kobayashi-2018-contextual-augmentation-data-augmentation-words/) — Sosuke Kobayashi · Proceedings of the 2018 Conference of the North…
- [Contextual String Embeddings for Sequence Labeling](https://md.research.elamur.ai/free/en/papers/akbik-2018-contextual-string-embeddings-sequence-labeling/) — Alan Akbik, Duncan Blythe, Roland Vollgraf · Proceedings of the 27th International…
- [Continual Lifelong Learning with Neural Networks: A Review](https://md.research.elamur.ai/free/en/papers/parisi-2018-continual-lifelong-learning-neural-networks/) — German I. Parisi, Ronald Kemker, Jose L. Part, et al. · arXiv:1802.07569
- [Controllable Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/fan-2018-controllable-abstractive-summarization/) — Angela Fan, David Grangier, Michael Auli · Proceedings of the 2nd Workshop on Neural…
- [Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos](https://md.research.elamur.ai/free/en/papers/hazarika-2018-conversational-memory-network-emotion-recognition/) — Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, et al. · Proceedings of the 2018 Conference of the North…
- [Conversations Gone Awry: Detecting Early Signs of Conversational Failure](https://md.research.elamur.ai/free/en/papers/zhang-2018-conversations-gone-awry-detecting-early/) — Justine Zhang, Jonathan Chang, Cristian Danescu-Niculescu-Mizil, et al. · Proceedings of the 56th Annual Meeting of the…
- [Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments](https://md.research.elamur.ai/free/en/papers/stojanovski-2018-coreference-coherence-neural-machine-translation/) — Dario Stojanovski, Alexander Fraser · Proceedings of the Third Conference on Machine…
- [Creating a Translation Matrix of the Bible's Names Across 591 Languages](https://md.research.elamur.ai/free/en/papers/wu-2018-creating-translation-matrix-bible-s/) — Winston Wu, Nidhi Vyas, David Yarowsky · Machine translation
- [Cross-Document, Cross-Language Event Coreference Annotation Using Event Hoppers](https://md.research.elamur.ai/free/en/papers/song-2018-cross-document-cross-language-event/) — Zhiyi Song, Ann Bies, Justin Mott, et al. · Proceedings of the Eleventh International…
- [Cross-topic Argument Mining from Heterogeneous Sources](https://md.research.elamur.ai/free/en/papers/stab-2018-cross-topic-argument-mining-heterogeneous/) — Christian Stab, Tristan Miller, Benjamin Schiller, et al. · Proceedings of the 2018 Conference on Empirical…
- [Crowdsourcing Question-Answer Meaning Representations](https://md.research.elamur.ai/free/en/papers/michael-2018-crowdsourcing-question-answer-meaning-representations/) — Julian Michael, Gabriel Stanovsky, Luheng He, et al. · English
- [CUNI Transformer Neural MT System for WMT18](https://md.research.elamur.ai/free/en/papers/popel-2018-cuni-transformer-neural-mt-system/) — Martin Popel · Proceedings of the Third Conference on Machine…
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