CoNLL 2017

89 papers

A rule-based system for cross-lingual parsing of Romance languages with Universal Dependencies

Marcos Garcia, Pablo Gamallo

A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task

Hiroshi Kanayama, Masayasu Muraoka, Katsumasa Yoshikawa

Universal Joint Morph-Syntactic Processing: The Open University of Israel’s Submission to The CoNLL 2017 Shared Task

Amir More, Reut Tsarfaty

The ParisNLP entry at the ConLL UD Shared Task 2017: A Tale of a #ParsingTragedy

Éric de la Clergerie, Benoît Sagot, Djamé Seddah

A Fast and Lightweight System for Multilingual Dependency Parsing

Tao Ji, Yuanbin Wu, Man Lan

CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later

Christophe Moor, Paola Merlo, James Henderson, Haozhou Wang

Initial Explorations of CCG Supertagging for Universal Dependency Parsing

Burak Kerim Akkuş, Heval Azizoglu, Ruket Cakici

From Raw Text to Universal Dependencies - Look, No Tags!

Miryam de Lhoneux, Yan Shao, Ali Basirat, Eliyahu Kiperwasser, Sara Stymne

Corpus Selection Approaches for Multilingual Parsing from Raw Text to Universal Dependencies

Ryan Hornby, Clark Taylor, Jungyeul Park

A Transition-based System for Universal Dependency Parsing

Hao Wang, Hai Zhao, Zhisong Zhang

Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks

Ayan Das, Affan Zaffar, Sudeshna Sarkar

RACAI’s Natural Language Processing pipeline for Universal Dependencies

Stefan Daniel Dumitrescu, Tiberiu Boros, Dan Tufis

LIMSI@CoNLL’17: UD Shared Task

Lauriane Aufrant, Guillaume Wisniewski, François Yvon

A non-projective greedy dependency parser with bidirectional LSTMs

David Vilares, Carlos Gómez-Rodríguez

A non-DNN Feature Engineering Approach to Dependency Parsing – FBAML at CoNLL 2017 Shared Task

Xian Qian, Yang Liu

A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing

Dat Quoc Nguyen, Mark Dras, Mark Johnson

The parse is darc and full of errors: Universal dependency parsing with transition-based and graph-based algorithms

Kuan Yu, Pavel Sofroniev, Erik Schill, Erhard Hinrichs

TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing

Jenna Kanerva, Juhani Luotolahti, Filip Ginter

Multi-Model and Crosslingual Dependency Analysis

Johannes Heinecke, Munshi Asadullah

UParse: the Edinburgh system for the CoNLL 2017 UD shared task

Clara Vania, Xingxing Zhang, Adam Lopez

Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe

Milan Straka, Jana Straková

Parsing with Context Embeddings

Ömer Kırnap, Berkay Furkan Önder, Deniz Yuret

Adversarial Training for Cross-Domain Universal Dependency Parsing

Motoki Sato, Hitoshi Manabe, Hiroshi Noji, Yuji Matsumoto

A System for Multilingual Dependency Parsing based on Bidirectional LSTM Feature Representations

KyungTae Lim, Thierry Poibeau

The HIT-SCIR System for End-to-End Parsing of Universal Dependencies

Wanxiang Che, Jiang Guo, Yuxuan Wang, Bo Zheng, Huaipeng Zhao

IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks

Anders Björkelund, Agnieszka Faleńska, Xiang Yu, Jonas Kuhn

Combining Global Models for Parsing Universal Dependencies

Tianze Shi, Felix G. Wu, Xilun Chen, Yao Cheng

Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task

Timothy Dozat, Peng Qi, Christopher D. Manning

CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

Daniel Zeman, Martin Popel, Milan Straka, Jan Hajic, Joakim Nivre

Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

Jan Hajic, Dan Zeman

SU-RUG at the CoNLL-SIGMORPHON 2017 shared task: Morphological Inflection with Attentional Sequence-to-Sequence Models

Robert Östling, Johannes Bjerva

Seq2seq for Morphological Reinflection: When Deep Learning Fails

Hajime Senuma, Akiko Aizawa

Data Augmentation for Morphological Reinflection

Miikka Silfverberg, Adam Wiemerslage, Ling Liu, Lingshuang Jack Mao

Character Sequence-to-Sequence Model with Global Attention for Universal Morphological Reinflection

Qile Zhu, Yanjun Li, Xiaolin Li

If you can’t beat them, join them: the University of Alberta system description

Garrett Nicolai, Bradley Hauer, Mohammad Motallebi, Saeed Najafi, Grzegorz Kondrak

Experiments on Morphological Reinflection: CoNLL-2017 Shared Task

Akhilesh Sudhakar, Anil Kumar Singh

ISI at the SIGMORPHON 2017 Shared Task on Morphological Reinflection

Abhisek Chakrabarty, Utpal Garain

Morphological Inflection Generation with Multi-space Variational Encoder-Decoders

Chunting Zhou, Graham Neubig

Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection

Peter Makarov, Tatiana Ruzsics, Simon Clematide

The LMU System for the CoNLL-SIGMORPHON 2017 Shared Task on Universal Morphological Reinflection

Katharina Kann, Hinrich Schütze

Training Data Augmentation for Low-Resource Morphological Inflection

Toms Bergmanis, Katharina Kann, Hinrich Schütze, Sharon Goldwater

CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages

Ryan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova

Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection

Mans Hulden

Graph-based Neural Multi-Document Summarization

Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan

Natural Language Generation for Spoken Dialogue System using RNN Encoder-Decoder Networks

Van-Khanh Tran, Le-Minh Nguyen

Learning from Relatives: Unified Dialectal Arabic Segmentation

Younes Samih, Mohamed Eldesouki, Mohammed Attia, Kareem Darwish, Ahmed Abdelali

Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging Exploiting Tag Dictionary Information

Go Inoue, Hiroyuki Shindo, Yuji Matsumoto

A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling

Diego Marcheggiani, Anton Frolov, Ivan Titov

Neural Structural Correspondence Learning for Domain Adaptation

Yftah Ziser, Roi Reichart

Optimizing Differentiable Relaxations of Coreference Evaluation Metrics

Phong Le, Ivan Titov

Multilingual Semantic Parsing And Code-Switching

Long Duong, Hadi Afshar, Dominique Estival, Glen Pink, Philip Cohen

Encoding of phonology in a recurrent neural model of grounded speech

Afra Alishahi, Marie Barking, Grzegorz Chrupała

German in Flux: Detecting Metaphoric Change via Word Entropy

Dominik Schlechtweg, Stefanie Eckmann, Enrico Santus, Sabine Schulte im Walde, Daniel Hole

The Covert Helps Parse the Overt

Xun Zhang, Weiwei Sun, Xiaojun Wan

Zero-Shot Relation Extraction via Reading Comprehension

Omer Levy, Minjoon Seo, Eunsol Choi, Luke Zettlemoyer

Idea density for predicting Alzheimer’s disease from transcribed speech

Kairit Sirts, Olivier Piguet, Mark Johnson

Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text

Desh Raj, Sunil Sahu, Ashish Anand

Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits

Quanzhi Li, Sameena Shah

A phoneme clustering algorithm based on the obligatory contour principle

Mans Hulden

Neural Domain Adaptation for Biomedical Question Answering

Georg Wiese, Dirk Weissenborn, Mariana Neves

Making Neural QA as Simple as Possible but not Simpler

Dirk Weissenborn, Georg Wiese, Laura Seiffe

Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information

Massimo Nicosia, Alessandro Moschitti

A Probabilistic Generative Grammar for Semantic Parsing

Abulhair Saparov, Vijay Saraswat, Tom Mitchell

Knowledge Tracing in Sequential Learning of Inflected Vocabulary

Adithya Renduchintala, Philipp Koehn, Jason Eisner

Cross-language Learning with Adversarial Neural Networks

Shafiq Joty, Preslav Nakov, Lluis Marquez, Israa Jaradat

Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts

Henry Y. Chen, Ethan Zhou, Jinho D. Choi

An Automatic Approach for Document-level Topic Model Evaluation

Shraey Bhatia, Jey Han Lau, Timothy Baldwin

A Supervised Approach to Extractive Summarisation of Scientific Papers

Ed Collins, Isabelle Augenstein, Sebastian Riedel

Neural Sequence-to-sequence Learning of Internal Word Structure

Tatyana Ruzsics, Tanja Samardžić

A Joint Model for Semantic Sequences: Frames, Entities, Sentiments

Haoruo Peng, Snigdha Chaturvedi, Dan Roth

Feature Selection as Causal Inference: Experiments with Text Classification

Michael J. Paul

Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring

Fei Dong, Yue Zhang, jie Yang

Learning Word Representations with Regularization from Prior Knowledge

Yan Song, Chia-Jung Lee, Fei Xia

An Artificial Language Evaluation of Distributional Semantic Models

Fatemeh Torabi Asr, Michael Jones

Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding

Shoaib Jameel, Steven Schockaert

Automatic Selection of Context Configurations for Improved Class-Specific Word Representations

Ivan Vulić, Roy Schwartz, Ari Rappoport, Roi Reichart, Anna Korhonen

Embedding Words and Senses Together via Joint Knowledge-Enhanced Training

Massimiliano Mancini, Jose Camacho-Collados, Ignacio Iacobacci, Roberto Navigli

Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation

Huadong Chen, Shujian Huang, David Chiang, Xinyu Dai, Jiajun Chen

Learning What is Essential in Questions

Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth

Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification

Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Marco A. Valenzuela-Escárcega, Peter Clark

Named Entity Disambiguation for Noisy Text

Yotam Eshel, Noam Cohen, Kira Radinsky, Shaul Markovitch, Ikuya Yamada

Collaborative Partitioning for Coreference Resolution

Olga Uryupina, Alessandro Moschitti

Leveraging Eventive Information for Better Metaphor Detection and Classification

I-Hsuan Chen, Yunfei Long, Qin Lu, Chu-Ren Huang

Parsing for Grammatical Relations via Graph Merging

Weiwei Sun, Yantao Du, Xiaojun Wan

The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task

Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi

Exploring the Syntactic Abilities of RNNs with Multi-task Learning

Émile Enguehard, Yoav Goldberg, Tal Linzen

Rational Distortions of Learners’ Linguistic Input

Naomi Feldman

Should Neural Network Architecture Reflect Linguistic Structure?

Chris Dyer

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)

Roger Levy, Lucia Specia