| 2017 | A non-DNN Feature Engineering Approach to Dependency Parsing - FBAML at CoNLL 2017 Shared Task. | Xian Qian, Yang Liu |
| 2017 | A Joint Model for Semantic Sequences: Frames, Entities, Sentiments. | Haoruo Peng, Snigdha Chaturvedi, Dan Roth |
| 2017 | Feature Selection as Causal Inference: Experiments with Text Classification. | Michael J. Paul |
| 2017 | SU-RUG at the CoNLL-SIGMORPHON 2017 shared task: Morphological Inflection with Attentional Sequence-to-Sequence Models. | Robert stling, Johannes Bjerva |
| 2017 | Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information. | Massimo Nicosia, Alessandro Moschitti |
| 2017 | If you can't beat them, join them: the University of Alberta system description. | Garrett Nicolai, Bradley Hauer, Mohammad Motallebi, Saeed Najafi, Grzegorz Kondrak |
| 2017 | A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing. | Dat Quoc Nguyen, Mark Dras, Mark Johnson |
| 2017 | Universal Joint Morph-Syntactic Processing: The Open University of Israel's Submission to The CoNLL 2017 Shared Task. | Amir More, Reut Tsarfaty |
| 2017 | CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later. | Christophe Moor, Paola Merlo, James Henderson, Haozhou Wang |
| 2017 | A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling. | Diego Marcheggiani, Anton Frolov, Ivan Titov |
| 2017 | Embedding Words and Senses Together via Joint Knowledge-Enhanced Training. | Massimiliano Mancini, Jos Camacho-Collados, Ignacio Iacobacci, Roberto Navigli |
| 2017 | Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection. | Peter Makarov, Tatiana Ruzsics, Simon Clematide |
| 2017 | Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits. | Quanzhi Li, Sameena Shah |
| 2017 | A System for Multilingual Dependency Parsing based on Bidirectional LSTM Feature Representations. | Kyungtae Lim, Thierry Poibeau |
| 2017 | From Raw Text to Universal Dependencies - Look, No Tags! | Miryam de Lhoneux, Yan Shao, Ali Basirat, Eliyahu Kiperwasser, Sara Stymne, Yoav Goldberg, Joakim Nivre |
| 2017 | Zero-Shot Relation Extraction via Reading Comprehension. | Omer Levy, Minjoon Seo, Eunsol Choi, Luke Zettlemoyer |
| 2017 | Optimizing Differentiable Relaxations of Coreference Evaluation Metrics. | Phong Le, Ivan Titov |
| 2017 | Parsing with Context Embeddings. | mer Kirnap, Berkay Furkan nder, Deniz Yuret |
| 2017 | Learning What is Essential in Questions. | Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth |
| 2017 | The LMU System for the CoNLL-SIGMORPHON 2017 Shared Task on Universal Morphological Reinflection. | Katharina Kann, Hinrich Schtze |
| 2017 | TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing. | Jenna Kanerva, Juhani Luotolahti, Filip Ginter |
| 2017 | A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task. | Hiroshi Kanayama, Masayasu Muraoka, Katsumasa Yoshikawa |
| 2017 | Cross-language Learning with Adversarial Neural Networks. | Shafiq R. Joty, Preslav Nakov, Llus Mrquez, Israa Jaradat |
| 2017 | A Fast and Lightweight System for Multilingual Dependency Parsing. | Tao Ji, Yuanbin Wu, Man Lan |
| 2017 | Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding. | Shoaib Jameel, Steven Schockaert |