---
title: "EMNLP 2018 — all papers: 89 in our library, the most cited first"
description: "89 works of EMNLP 2018 in our library, the most cited first. Among them: SentencePiece: A simple and language independent subword…"
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---
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# EMNLP 2018: all papers in our library

89 works · the most cited first · [← EMNLP 2018](https://md.research.elamur.ai/free/en/venues/emnlp/2018/)

1. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Taku Kudo, John Richardson*2018 · 4,471 citations*
2. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhilin Yang, Peng Qi, Saizheng Zhang, et al.*2018 · 3,495 citations*
3. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tao Yu, Rui Zhang, Kai Yang, et al.*2018 · 1,584 citations*
4. **[Universal Sentence Encoder for English](https://md.research.elamur.ai/free/en/papers/cer-2018-universal-sentence-encoder-english/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.*2018 · 1,545 citations*
5. **[Generating Natural Language Adversarial Examples](https://md.research.elamur.ai/free/en/papers/alzantot-2018-generating-natural-language-adversarial-examples/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, et al.*2018 · 1,104 citations*
6. **[QuAC: Question Answering in Context](https://md.research.elamur.ai/free/en/papers/choi-2018-quac-question-answering-context/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eunsol Choi, He He, Mohit Iyyer, et al.*2018 · 1,062 citations*
7. **[Graph Convolution over Pruned Dependency Trees Improves Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhang-2018-graph-convolution-over-pruned-dependency/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuhao Zhang, Peng Qi, Christopher D. Manning*2018 · 1,049 citations*
8. **[Bottom-Up Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/gehrmann-2018-bottom-up-abstractive-summarization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sebastian Gehrmann, Yuntian Deng, Alexander Rush*2018 · 944 citations*
9. **[Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/luan-2018-multi-task-identification-entities-relations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yi Luan, Luheng He, Mari Ostendorf, et al.*2018 · 937 citations*
10. **[Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks](https://md.research.elamur.ai/free/en/papers/wang-2018-cross-lingual-knowledge-graph-alignment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhichun Wang, Qingsong Lv, Xiaohan Lan, et al.*2018 · 684 citations*
11. **[TVQA: Localized, Compositional Video Question Answering](https://md.research.elamur.ai/free/en/papers/lei-2018-tvqa-localized-compositional-video-question/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jie Lei, Licheng Yu, Mohit Bansal, et al.*2018 · 673 citations*
12. **[Object Hallucination in Image Captioning](https://md.research.elamur.ai/free/en/papers/rohrbach-2018-object-hallucination-image-captioning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, et al.*2018 · 619 citations*
13. **[Linguistically-Informed Self-Attention for Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/strubell-2018-linguistically-informed-self-attention-semantic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emma Strubell, Patrick Verga, Daniel Andor, et al.*2018 · 601 citations*
14. **[Dissecting Contextual Word Embeddings: Architecture and Representation](https://md.research.elamur.ai/free/en/papers/peters-2018-dissecting-contextual-word-embeddings-architecture/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al.*2018 · 587 citations*
15. **[Multi-grained Attention Network for Aspect-Level Sentiment Classification](https://md.research.elamur.ai/free/en/papers/fan-2018-multi-grained-attention-network-aspect/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Feifan Fan, Yansong Feng, Dongyan Zhao*2018 · 573 citations*
16. **[Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement](https://md.research.elamur.ai/free/en/papers/lee-2018-deterministic-non-autoregressive-neural-sequence/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jason Lee, Elman Mansimov, Kyunghyun Cho*2018 · 551 citations*
17. **[ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection](https://md.research.elamur.ai/free/en/papers/hazarika-2018-icon-interactive-conversational-memory-network/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, et al.*2018 · 525 citations*
18. **[Learning Gender-Neutral Word Embeddings](https://md.research.elamur.ai/free/en/papers/zhao-2018-learning-gender-neutral-word-embeddings/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jieyu Zhao, Yichao Zhou, Zeyu Li, et al.*2018 · 514 citations*
19. **[Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation](https://md.research.elamur.ai/free/en/papers/liu-2018-jointly-multiple-events-extraction-attention/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiao Liu, Zhunchen Luo, Heyan Huang*2018 · 509 citations*
20. **[Semi-Supervised Sequence Modeling with Cross-View Training](https://md.research.elamur.ai/free/en/papers/clark-2018-semi-supervised-sequence-modeling-cross/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kevin Clark, Minh-Thang Luong, Christopher D. Manning, et al.*2018 · 491 citations*
21. **[Legal Judgment Prediction via Topological Learning](https://md.research.elamur.ai/free/en/papers/zhong-2018-legal-judgment-prediction-topological-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Haoxi Zhong, Zhipeng Guo, Cunchao Tu, et al.*2018 · 480 citations*
22. **[Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion](https://md.research.elamur.ai/free/en/papers/joulin-2018-loss-translation-learning-bilingual-word/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Armand Joulin, Piotr Bojanowski, Tomas Mikolov, et al.*2018 · 477 citations*
23. **[Reducing Gender Bias in Abusive Language Detection](https://md.research.elamur.ai/free/en/papers/park-2018-reducing-gender-bias-abusive-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ji Ho Park, Jamin Shin, Pascale Fung*2018 · 465 citations*
24. **[Meta-Learning for Low-Resource Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gu-2018-meta-learning-low-resource-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiatao Gu, Yong Wang, Yun Chen, et al.*2018 · 454 citations*
25. **[CARER: Contextualized Affect Representations for Emotion Recognition](https://md.research.elamur.ai/free/en/papers/saravia-2018-carer-contextualized-affect-representations-emotion/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Elvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, et al.*2018 · 448 citations*
26. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Samuel Läubli, Rico Sennrich, Martin Volk*2018 · 443 citations*
27. **[Unsupervised Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/artetxe-2018-unsupervised-statistical-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2018 · 433 citations*
28. **[Document-Level Neural Machine Translation with Hierarchical Attention Networks](https://md.research.elamur.ai/free/en/papers/miculicich-2018-document-level-neural-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, et al.*2018 · 414 citations*
29. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, et al.*2018 · 391 citations*
30. **[Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks](https://md.research.elamur.ai/free/en/papers/zhao-2018-paragraph-level-neural-question-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yao Zhao, Xiaochuan Ni, Yuanyuan Ding, et al.*2018 · 377 citations*
31. **[Improving the Transformer Translation Model with Document-Level Context](https://md.research.elamur.ai/free/en/papers/zhang-2018-improving-transformer-translation-model-document/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiacheng Zhang, Huanbo Luan, Maosong Sun, et al.*2018 · 368 citations*
32. [**How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks**Divyansh Kaushik, Zachary C. Lipton*2018 · 361 citations*](https://md.research.elamur.ai/free/en/papers/kaushik-2018-how-much-reading-does-reading/)
33. **[Adversarial Removal of Demographic Attributes from Text Data](https://md.research.elamur.ai/free/en/papers/elazar-2018-adversarial-removal-demographic-attributes-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yanai Elazar, Yoav Goldberg*2018 · 357 citations*
34. **[Lessons from Natural Language Inference in the Clinical Domain](https://md.research.elamur.ai/free/en/papers/romanov-2018-lessons-natural-language-inference-clinical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alexey Romanov, Chaitanya Shivade*2018 · 348 citations*
35. **[Gromov-Wasserstein Alignment of Word Embedding Spaces](https://md.research.elamur.ai/free/en/papers/melis-2018-gromov-wasserstein-alignment-word-embedding/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Alvarez-Melis, Tommi Jaakkola*2018 · 337 citations*
36. **[Predicting Factuality of Reporting and Bias of News Media Sources](https://md.research.elamur.ai/free/en/papers/baly-2018-predicting-factuality-reporting-bias-news/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, et al.*2018 · 335 citations*
37. **[Training Millions of Personalized Dialogue Agents](https://md.research.elamur.ai/free/en/papers/mazare-2018-training-millions-personalized-dialogue-agents/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, et al.*2018 · 335 citations*
38. **[A Dataset for Document Grounded Conversations](https://md.research.elamur.ai/free/en/papers/zhou-2018-dataset-document-grounded-conversations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kangyan Zhou, Shrimai Prabhumoye, Alan W Black*2018 · 327 citations*
39. **[Rapid Adaptation of Neural Machine Translation to New Languages](https://md.research.elamur.ai/free/en/papers/neubig-2018-rapid-adaptation-neural-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Graham Neubig, Junjie Hu*2018 · 322 citations*
40. **[Learning Named Entity Tagger using Domain-Specific Dictionary](https://md.research.elamur.ai/free/en/papers/shang-2018-learning-named-entity-tagger-domain/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jingbo Shang, Liyuan Liu, Xiaotao Gu, et al.*2018 · 301 citations*
41. **[Paraphrase Generation with Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/li-2018-paraphrase-generation-deep-reinforcement-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zichao Li, Xin Jiang, Lifeng Shang, et al.*2018 · 299 citations*
42. **[Deep Exhaustive Model for Nested Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/sohrab-2018-deep-exhaustive-model-nested-named/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mohammad Golam Sohrab, Makoto Miwa*2018 · 299 citations*
43. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xinyi Wang, Hieu Pham, Zihang Dai, et al.*2018 · 290 citations*
44. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Anusri Pampari, Preethi Raghavan, Jennifer Liang, et al.*2018 · 288 citations*
45. **[Getting Gender Right in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/vanmassenhove-2018-getting-gender-right-neural-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eva Vanmassenhove, Christian Hardmeier, Andy Way*2018 · 281 citations*
46. **[Semantic Parsing for Task Oriented Dialog using Hierarchical Representations](https://md.research.elamur.ai/free/en/papers/gupta-2018-semantic-parsing-task-oriented-dialog/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sonal Gupta, Rushin Shah, Mrinal Mohit, et al.*2018 · 280 citations*
47. **[Learning Neural Templates for Text Generation](https://md.research.elamur.ai/free/en/papers/wiseman-2018-learning-neural-templates-text-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sam Wiseman, Stuart Shieber, Alexander Rush*2018 · 280 citations*
48. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Stefanos Angelidis, Mirella Lapata*2018 · 266 citations*
49. **[Zero-shot User Intent Detection via Capsule Neural Networks](https://md.research.elamur.ai/free/en/papers/xia-2018-zero-shot-user-intent-detection/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Congying Xia, Chenwei Zhang, Xiaohui Yan, et al.*2018 · 262 citations*
50. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Elior Sulem, Omri Abend, Ari Rappoport*2018 · 255 citations*
51. **[Answer-focused and Position-aware Neural Question Generation](https://md.research.elamur.ai/free/en/papers/sun-2018-answer-focused-position-aware-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xingwu Sun, Jing Liu, Yajuan Lyu, et al.*2018 · 255 citations*
52. **[Modeling Localness for Self-Attention Networks](https://md.research.elamur.ai/free/en/papers/yang-2018-modeling-localness-self-attention-networks/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Baosong Yang, Zhaopeng Tu, Derek F. Wong, et al.*2018 · 255 citations*
53. **[Neural Cross-Lingual Named Entity Recognition with Minimal Resources](https://md.research.elamur.ai/free/en/papers/xie-2018-neural-cross-lingual-named-entity/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiateng Xie, Zhilin Yang, Graham Neubig, et al.*2018 · 247 citations*
54. **[Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces](https://md.research.elamur.ai/free/en/papers/rios-2018-few-shot-zero-shot-multi/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Anthony Rios, Ramakanth Kavuluru*2018 · 246 citations*
55. **[MSMO: Multimodal Summarization with Multimodal Output](https://md.research.elamur.ai/free/en/papers/zhu-2018-msmo-multimodal-summarization-multimodal-output/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Junnan Zhu, Haoran Li, Tianshang Liu, et al.*2018 · 245 citations*
56. **[Towards Exploiting Background Knowledge for Building Conversation Systems](https://md.research.elamur.ai/free/en/papers/moghe-2018-exploiting-background-knowledge-building-conversation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nikita Moghe, Siddhartha Arora, Suman Banerjee, et al.*2018 · 242 citations*
57. **[A Study of Reinforcement Learning for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2018-study-reinforcement-learning-neural-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lijun Wu, Fei Tian, Tao Qin, et al.*2018 · 234 citations*
58. **[Decoupling Strategy and Generation in Negotiation Dialogues](https://md.research.elamur.ai/free/en/papers/he-2018-decoupling-strategy-generation-negotiation-dialogues/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**He He, Derek Chen, Anusha Balakrishnan, et al.*2018 · 233 citations*
59. **[Commonsense for Generative Multi-Hop Question Answering Tasks](https://md.research.elamur.ai/free/en/papers/bauer-2018-commonsense-generative-multi-hop-question/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lisa Bauer, Yicheng Wang, Mohit Bansal*2018 · 229 citations*
60. **[Cross-topic Argument Mining from Heterogeneous Sources](https://md.research.elamur.ai/free/en/papers/stab-2018-cross-topic-argument-mining-heterogeneous/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Christian Stab, Tristan Miller, Benjamin Schiller, et al.*2018 · 229 citations*
61. **[Interpretation of Natural Language Rules in Conversational Machine Reading](https://md.research.elamur.ai/free/en/papers/saeidi-2018-interpretation-natural-language-rules-conversational/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Marzieh Saeidi, Max Bartolo, Patrick Lewis, et al.*2018 · 227 citations*
62. **[MTNT: A Testbed for Machine Translation of Noisy Text](https://md.research.elamur.ai/free/en/papers/michel-2018-mtnt-testbed-machine-translation-noisy/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Paul Michel, Graham Neubig*2018 · 224 citations*
63. **[Neural Latent Extractive Document Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-latent-extractive-document-summarization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xingxing Zhang, Mirella Lapata, Furu Wei, et al.*2018 · 220 citations*
64. **[Content Selection in Deep Learning Models of Summarization](https://md.research.elamur.ai/free/en/papers/kedzie-2018-content-selection-deep-learning-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chris Kedzie, Kathleen McKeown, Hal Daumé III*2018 · 214 citations*
65. **[Contextual Parameter Generation for Universal Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/platanios-2018-contextual-parameter-generation-universal-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, et al.*2018 · 205 citations*
66. **[A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check](https://md.research.elamur.ai/free/en/papers/wang-2018-hybrid-approach-automatic-corpus-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Dingmin Wang, Yan Song, Jing Li, et al.*2018 · 201 citations*
67. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jindřich Libovický, Jindřich Helcl*2018 · 200 citations*
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