---
title: "ACL 2017 — all papers: 72 in our library, the most cited first"
description: "72 works of ACL 2017 in our library, the most cited first. Among them: TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for…"
canonical: "https://research.elamur.ai/free/en/venues/acl/2017/works/"
---
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# ACL 2017: all papers in our library

72 works · the most cited first · [← ACL 2017](https://md.research.elamur.ai/free/en/venues/acl/2017/)

1. **[TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension](https://md.research.elamur.ai/free/en/papers/joshi-2017-triviaqa-large-scale-distantly-supervised/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mandar Joshi, Eunsol Choi, Daniel Weld, et al.*2017 · 3,213 citations*
2. **[OpenNMT: Open-Source Toolkit for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/klein-2017-opennmt-open-source-toolkit-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guillaume Klein, Yoon Kim, Yuntian Deng, et al.*2017 · 2,469 citations*
3. **[Reading Wikipedia to Answer Open-Domain Questions](https://md.research.elamur.ai/free/en/papers/chen-2017-reading-wikipedia-answer-open-domain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Danqi Chen, Adam Fisch, Jason Weston, et al.*2017 · 2,260 citations*
4. **[“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection](https://md.research.elamur.ai/free/en/papers/wang-2017-liar-liar-pants-fire-new/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**William Yang Wang*2017 · 1,807 citations*
5. **[Context-Dependent Sentiment Analysis in User-Generated Videos](https://md.research.elamur.ai/free/en/papers/poria-2017-context-dependent-sentiment-analysis-user/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Soujanya Poria, Erik Cambria, Devamanyu Hazarika, et al.*2017 · 1,027 citations*
6. **[Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders](https://md.research.elamur.ai/free/en/papers/zhao-2017-learning-discourse-level-diversity-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tiancheng Zhao, Ran Zhao, Maxine Eskenazi*2017 · 990 citations*
7. **[Learning to Ask: Neural Question Generation for Reading Comprehension](https://md.research.elamur.ai/free/en/papers/du-2017-learning-ask-neural-question-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinya Du, Junru Shao, Claire Cardie*2017 · 916 citations*
8. **[Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme](https://md.research.elamur.ai/free/en/papers/zheng-2017-joint-extraction-entities-relations-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Suncong Zheng, Feng Wang, Hongyun Bao, et al.*2017 · 906 citations*
9. **[Gated Self-Matching Networks for Reading Comprehension and Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2017-gated-self-matching-networks-reading/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenhui Wang, Nan Yang, Furu Wei, et al.*2017 · 827 citations*
10. **[Semi-supervised sequence tagging with bidirectional language models](https://md.research.elamur.ai/free/en/papers/peters-2017-semi-supervised-sequence-tagging-bidirectional/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, et al.*2017 · 790 citations*
11. **[A Syntactic Neural Model for General-Purpose Code Generation](https://md.research.elamur.ai/free/en/papers/yin-2017-syntactic-neural-model-general-purpose/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengcheng Yin, Graham Neubig*2017 · 774 citations*
12. **[Adversarial Multi-task Learning for Text Classification](https://md.research.elamur.ai/free/en/papers/liu-2017-adversarial-multi-task-learning-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengfei Liu, Xipeng Qiu, Xuanjing Huang*2017 · 725 citations*
13. **[Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning](https://md.research.elamur.ai/free/en/papers/ma-2017-detect-rumors-microblog-posts-propagation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jing Ma, Wei Gao, Kam-Fai Wong*2017 · 714 citations*
14. **[Learning bilingual word embeddings with (almost) no bilingual data](https://md.research.elamur.ai/free/en/papers/artetxe-2017-learning-bilingual-word-embeddings-almost/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2017 · 685 citations*
15. **[Cross-lingual Name Tagging and Linking for 282 Languages](https://md.research.elamur.ai/free/en/papers/pan-2017-cross-lingual-name-tagging-linking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoman Pan, Boliang Zhang, Jonathan May, et al.*2017 · 668 citations*
16. **[Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots](https://md.research.elamur.ai/free/en/papers/wu-2017-sequential-matching-network-new-architecture/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Wu, Wei Wu, Chen Xing, et al.*2017 · 629 citations*
17. [**Deep Semantic Role Labeling: What Works and What's Next**Luheng He, Kenton Lee, Mike Lewis, et al.*2017 · 592 citations*](https://md.research.elamur.ai/free/en/papers/he-2017-deep-semantic-role-labeling-what/)
18. **[Simple and Effective Multi-Paragraph Reading Comprehension](https://md.research.elamur.ai/free/en/papers/clark-2017-simple-effective-multi-paragraph-reading/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Christopher Clark, Matt Gardner*2017 · 558 citations*
19. [**Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction**Christopher Bryant, Mariano Felice, Ted Briscoe*2017 · 534 citations*](https://md.research.elamur.ai/free/en/papers/bryant-2017-automatic-annotation-evaluation-error-types/)
20. **[Creating Training Corpora for NLG Micro-Planners](https://md.research.elamur.ai/free/en/papers/gardent-2017-creating-training-corpora-nlg-micro/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Claire Gardent, Anastasia Shimorina, Shashi Narayan, et al.*2017 · 528 citations*
21. **[Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search](https://md.research.elamur.ai/free/en/papers/hokamp-2017-lexically-constrained-decoding-sequence-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chris Hokamp, Qun Liu*2017 · 520 citations*
22. **[Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses](https://md.research.elamur.ai/free/en/papers/lowe-2017-towards-automatic-turing-test-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryan Lowe, Michael Noseworthy, Iulian V. Serban, et al.*2017 · 495 citations*
23. **[A Convolutional Encoder Model for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gehring-2017-convolutional-encoder-model-neural-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jonas Gehring, Michael Auli, David Grangier, et al.*2017 · 490 citations*
24. **[EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/mageed-2017-emonet-fine-grained-emotion-detection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Muhammad Abdul-Mageed, Lyle Ungar*2017 · 487 citations*
25. **[What do Neural Machine Translation Models Learn about Morphology?](https://md.research.elamur.ai/free/en/papers/belinkov-2017-what-do-neural-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, et al.*2017 · 485 citations*
26. **[An Unsupervised Neural Attention Model for Aspect Extraction](https://md.research.elamur.ai/free/en/papers/he-2017-unsupervised-neural-attention-model-aspect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruidan He, Wee Sun Lee, Hwee Tou Ng, et al.*2017 · 473 citations*
27. **[Deep Keyphrase Generation](https://md.research.elamur.ai/free/en/papers/meng-2017-deep-keyphrase-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rui Meng, Sanqiang Zhao, Shuguang Han, et al.*2017 · 454 citations*
28. [**Neural AMR: Sequence-to-Sequence Models for Parsing and Generation**Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, et al.*2017 · 425 citations*](https://md.research.elamur.ai/free/en/papers/konstas-2017-neural-amr-sequence-sequence-models/)
29. **[Data Augmentation for Low-Resource Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/fadaee-2017-data-augmentation-low-resource-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Marzieh Fadaee, Arianna Bisazza, Christof Monz*2017 · 423 citations*
30. **[Abstractive Document Summarization with a Graph-Based Attentional Neural Model](https://md.research.elamur.ai/free/en/papers/tan-2017-abstractive-document-summarization-graph-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiwei Tan, Xiaojun Wan, Jianguo Xiao*2017 · 409 citations*
31. **[Adversarial Training for Unsupervised Bilingual Lexicon Induction](https://md.research.elamur.ai/free/en/papers/zhang-2017-adversarial-training-unsupervised-bilingual-lexicon/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Meng Zhang, Yang Liu, Huanbo Luan, et al.*2017 · 359 citations*
32. **[Exploring Neural Text Simplification Models](https://md.research.elamur.ai/free/en/papers/nisioi-2017-exploring-neural-text-simplification-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sergiu Nisioi, Sanja Štajner, Simone Paolo Ponzetto, et al.*2017 · 353 citations*
33. **[Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access](https://md.research.elamur.ai/free/en/papers/dhingra-2017-end-end-reinforcement-learning-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bhuwan Dhingra, Lihong Li, Xiujun Li, et al.*2017 · 350 citations*
34. **[Selective Encoding for Abstractive Sentence Summarization](https://md.research.elamur.ai/free/en/papers/zhou-2017-selective-encoding-abstractive-sentence-summarization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingyu Zhou, Nan Yang, Furu Wei, et al.*2017 · 330 citations*
35. **[Search-based Neural Structured Learning for Sequential Question Answering](https://md.research.elamur.ai/free/en/papers/iyyer-2017-search-based-neural-structured-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang*2017 · 329 citations*
36. **[An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/chu-2017-empirical-comparison-domain-adaptation-methods/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenhui Chu, Raj Dabre, Sadao Kurohashi*2017 · 316 citations*
37. **[Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms](https://md.research.elamur.ai/free/en/papers/liu-2017-exploiting-argument-information-improve-event/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shulin Liu, Yubo Chen, Kang Liu, et al.*2017 · 309 citations*
38. **[A Minimal Span-Based Neural Constituency Parser](https://md.research.elamur.ai/free/en/papers/stern-2017-minimal-span-based-neural-constituency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mitchell Stern, Jacob Andreas, Dan Klein*2017 · 309 citations*
39. **[Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation](https://md.research.elamur.ai/free/en/papers/kiritchenko-2017-best-worst-scaling-more-reliable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Svetlana Kiritchenko, Saif Mohammad*2017 · 282 citations*
40. **[Neural End-to-End Learning for Computational Argumentation Mining](https://md.research.elamur.ai/free/en/papers/eger-2017-neural-end-end-learning-computational/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Steffen Eger, Johannes Daxenberger, Iryna Gurevych*2017 · 263 citations*
41. **[From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood](https://md.research.elamur.ai/free/en/papers/guu-2017-language-programs-bridging-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kelvin Guu, Panupong Pasupat, Evan Liu, et al.*2017 · 230 citations*
42. **[Automatically Labeled Data Generation for Large Scale Event Extraction](https://md.research.elamur.ai/free/en/papers/chen-2017-automatically-labeled-data-generation-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yubo Chen, Shulin Liu, Xiang Zhang, et al.*2017 · 228 citations*
43. **[Towards String-To-Tree Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/aharoni-2017-string-tree-neural-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Roee Aharoni, Yoav Goldberg*2017 · 221 citations*
44. **[Learning to Parse and Translate Improves Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/eriguchi-2017-learning-parse-translate-improves-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho*2017 · 214 citations*
45. **[Deep Multitask Learning for Semantic Dependency Parsing](https://md.research.elamur.ai/free/en/papers/peng-2017-deep-multitask-learning-semantic-dependency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Sam Thomson, Noah A. Smith*2017 · 211 citations*
46. **[Morphological Inflection Generation with Hard Monotonic Attention](https://md.research.elamur.ai/free/en/papers/aharoni-2017-morphological-inflection-generation-hard-monotonic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Roee Aharoni, Yoav Goldberg*2017 · 209 citations*
47. **[Hafez: an Interactive Poetry Generation System](https://md.research.elamur.ai/free/en/papers/ghazvininejad-2017-hafez-interactive-poetry-generation-system/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Marjan Ghazvininejad, Xing Shi, Jay Priyadarshi, et al.*2017 · 196 citations*
48. **[Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection](https://md.research.elamur.ai/free/en/papers/ni-2017-weakly-supervised-cross-lingual-named/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jian Ni, Georgiana Dinu, Radu Florian*2017 · 193 citations*
49. **[Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder](https://md.research.elamur.ai/free/en/papers/chen-2017-improved-neural-machine-translation-syntax/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Huadong Chen, Shujian Huang, David Chiang, et al.*2017 · 192 citations*
50. **[Neural Discourse Structure for Text Categorization](https://md.research.elamur.ai/free/en/papers/ji-2017-neural-discourse-structure-text-categorization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yangfeng Ji, Noah A. Smith*2017 · 180 citations*
51. **[A Two-Stage Parsing Method for Text-Level Discourse Analysis](https://md.research.elamur.ai/free/en/papers/wang-2017-two-stage-parsing-method-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yizhong Wang, Sujian Li, Houfeng Wang*2017 · 164 citations*
52. **[Argument Mining with Structured SVMs and RNNs](https://md.research.elamur.ai/free/en/papers/niculae-2017-argument-mining-structured-svms-rnns/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vlad Niculae, Joonsuk Park, Claire Cardie*2017 · 160 citations*
53. **[Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/qin-2017-adversarial-connective-exploiting-networks-implicit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lianhui Qin, Zhisong Zhang, Hai Zhao, et al.*2017 · 144 citations*
54. **[Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network](https://md.research.elamur.ai/free/en/papers/mishra-2017-learning-cognitive-features-gaze-data/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya*2017 · 141 citations*
55. **[Answering Complex Questions Using Open Information Extraction](https://md.research.elamur.ai/free/en/papers/khot-2017-answering-complex-questions-open-information/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tushar Khot, Ashish Sabharwal, Peter Clark*2017 · 132 citations*
56. **[FOIL it! Find One mismatch between Image and Language caption](https://md.research.elamur.ai/free/en/papers/shekhar-2017-foil-it-find-one-mismatch/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, et al.*2017 · 122 citations*
57. **[Attention Strategies for Multi-Source Sequence-to-Sequence Learning](https://md.research.elamur.ai/free/en/papers/libovicky-2017-attention-strategies-multi-source-sequence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jindřich Libovický, Jindřich Helcl*2017 · 109 citations*
58. [**AMR-to-text Generation with Synchronous Node Replacement Grammar**Linfeng Song, Xiaochang Peng, Yue Zhang, et al.*2017 · 109 citations*](https://md.research.elamur.ai/free/en/papers/song-2017-amr-text-generation-synchronous-node/)
59. **[Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation](https://md.research.elamur.ai/free/en/papers/peled-2017-sarcasm-sign-interpreting-sarcasm-sentiment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lotem Peled, Roi Reichart*2017 · 95 citations*
60. **[Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets](https://md.research.elamur.ai/free/en/papers/stanovsky-2017-integrating-deep-linguistic-features-factuality/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gabriel Stanovsky, Judith Eckle-Kohler, Yevgeniy Puzikov, et al.*2017 · 62 citations*
61. [**Lexical Features in Coreference Resolution: To be Used With Caution**Nafise Sadat Moosavi, Michael Strube*2017 · 54 citations*](https://md.research.elamur.ai/free/en/papers/moosavi-2017-lexical-features-coreference-resolution-be/)
62. [**Universal Dependencies Parsing for Colloquial Singaporean English**Hongmin Wang, Yue Zhang, GuangYong Leonard Chan, et al.*2017 · 49 citations*](https://md.research.elamur.ai/free/en/papers/wang-2017-universal-dependencies-parsing-colloquial-singaporean/)
63. [**Learning attention for historical text normalization by learning to pronounce**Marcel Bollmann, Joachim Bingel, Anders Søgaard*2017 · 47 citations*](https://md.research.elamur.ai/free/en/papers/bollmann-2017-learning-attention-historical-text-normalization/)
64. [**Arc-swift: A Novel Transition System for Dependency Parsing**Peng Qi, Christopher D. Manning*2017 · 39 citations*](https://md.research.elamur.ai/free/en/papers/qi-2017-arc-swift-novel-transition-system/)
65. **[A Generative Attentional Neural Network Model for Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/tran-2017-generative-attentional-neural-network-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Quan Hung Tran, Gholamreza Haffari, Ingrid Zukerman*2017 · 38 citations*
66. **[Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution](https://md.research.elamur.ai/free/en/papers/liu-2017-generating-exploiting-large-scale-pseudo/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ting Liu, Yiming Cui, Qingyu Yin, et al.*2017 · 37 citations*
67. [**Ontology-Aware Token Embeddings for Prepositional Phrase Attachment**Pradeep Dasigi, Waleed Ammar, Chris Dyer, et al.*2017 · 35 citations*](https://md.research.elamur.ai/free/en/papers/dasigi-2017-ontology-aware-token-embeddings-prepositional/)
68. **[A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations](https://md.research.elamur.ai/free/en/papers/ronnqvist-2017-recurrent-neural-model-attention-recognition/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Samuel Rönnqvist, Niko Schenk, Christian Chiarcos*2017 · 27 citations*
69. [**Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging**Hassan Sajjad, Fahim Dalvi, Nadir Durrani, et al.*2017 · 26 citations*](https://md.research.elamur.ai/free/en/papers/sajjad-2017-challenging-language-dependent-segmentation-arabic/)
70. **[Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings](https://md.research.elamur.ai/free/en/papers/wu-2017-improving-implicit-discourse-relation-recognition/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Changxing Wu, Xiaodong Shi, Yidong Chen, et al.*2017 · 26 citations*
71. [**Annotating tense, mood and voice for English, French and German**Anita Ramm, Sharid Loáiciga, Annemarie Friedrich, et al.*2017 · 25 citations*](https://md.research.elamur.ai/free/en/papers/ramm-2017-annotating-tense-mood-voice-english/)
72. [**English Multiword Expression-aware Dependency Parsing Including Named Entities**Akihiko Kato, Hiroyuki Shindo, Yuji Matsumoto*2017 · 7 citations*](https://md.research.elamur.ai/free/en/papers/kato-2017-english-multiword-expression-aware-dependency/)
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