CoNLL 2018

101 papers

BME-HAS System for CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection

Judit Ács

Combining Neural and Non-Neural Methods for Low-Resource Morphological Reinflection

Saeed Najafi, Bradley Hauer, Rashed Rubby Riyadh, Leyuan Yu, Grzegorz Kondrak

Tübingen-Oslo system at SIGMORPHON shared task on morphological inflection. A multi-tasking multilingual sequence to sequence model.

Taraka Rama, Çağrı Çöltekin

IIT(BHU)–IIITH at CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection

Abhishek Sharma, Ganesh Katrapati, Dipti Misra Sharma

What can we gain from language models for morphological inflection?

Alexey Sorokin

Copenhagen at CoNLL–SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding

Yova Kementchedjhieva, Johannes Bjerva, Isabelle Augenstein

Morphological Reinflection in Context: CU Boulder’s Submission to CoNLL–SIGMORPHON 2018 Shared Task

Ling Liu, Ilamvazhuthy Subbiah, Adam Wiemerslage, Jonathan Lilley, Sarah Moeller

Finding the way from ä to a: Sub-character morphological inflection for the SIGMORPHON 2018 shared task

Fynn Schröder, Marcel Kamlot, Gregor Billing, Arne Köhn

UZH at CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection

Peter Makarov, Simon Clematide

Attention-free encoder decoder for morphological processing

Stefan Daniel Dumitrescu, Tiberiu Boros

The NYU System for the CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection

Katharina Kann, Stanislas Lauly, Kyunghyun Cho

Experiments on Morphological Reinflection: CoNLL-2018 Shared Task

Rishabh Jain, Anil Kumar Singh

AX Semantics’ Submission to the CoNLL–SIGMORPHON 2018 Shared Task

Andreas Madsack, Alessia Cavallo, Johanna Heininger, Robert Weißgraeber

IPS-WASEDA system at CoNLL–SIGMORPHON 2018 Shared Task on morphological inflection

Rashel Fam, Yves Lepage

KU-CST at CoNLL–SIGMORPHON 2018 Shared Task: a Tridirectional Model

Manex Agirrezabal

The CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection

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

Proceedings of the CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection

Mans Hulden, Ryan Cotterell

A Simple yet Effective Joint Training Method for Cross-Lingual Universal Dependency Parsing

Danlu Chen, Mengxiao Lin, Zhifeng Hu, Xipeng Qiu

AntNLP at CoNLL 2018 Shared Task: A Graph-Based Parser for Universal Dependency Parsing

Tao Ji, Yufang Liu, Yijun Wang, Yuanbin Wu, Man Lan

A Morphology-Based Representation Model for LSTM-Based Dependency Parsing of Agglutinative Languages

Şaziye Betül Özateş, Arzucan Özgür, Tunga Güngör, Balkız Öztürk

ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing

Ganesh Jawahar, Benjamin Muller, Amal Fethi, Louis Martin, Éric Villemonte de la Clergerie

SParse: Koç University Graph-Based Parsing System for the CoNLL 2018 Shared Task

Berkay Önder, Can Gümeli, Deniz Yuret

Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task

Amit Seker, Amir More, Reut Tsarfaty

UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task

Milan Straka

CUNI x-ling: Parsing Under-Resourced Languages in CoNLL 2018 UD Shared Task

Rudolf Rosa, David Mareček

Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks

Gor Arakelyan, Karen Hambardzumyan, Hrant Khachatrian

NLP-Cube: End-to-End Raw Text Processing With Neural Networks

Tiberiu Boros, Stefan Daniel Dumitrescu, Ruxandra Burtica

Universal Dependency Parsing from Scratch

Peng Qi, Timothy Dozat, Yuhao Zhang, Christopher D. Manning

The SLT-Interactions Parsing System at the CoNLL 2018 Shared Task

Riyaz A. Bhat, Irshad Bhat, Srinivas Bangalore

SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations

KyungTae Lim, Cheoneum Park, Changki Lee, Thierry Poibeau

Turku Neural Parser Pipeline: An End-to-End System for the CoNLL 2018 Shared Task

Jenna Kanerva, Filip Ginter, Niko Miekka, Akseli Leino, Tapio Salakoski

Tree-Stack LSTM in Transition Based Dependency Parsing

Ömer Kırnap, Erenay Dayanık, Deniz Yuret

82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models

Aaron Smith, Bernd Bohnet, Miryam de Lhoneux, Joakim Nivre, Yan Shao

Universal Dependency Parsing with a General Transition-Based DAG Parser

Daniel Hershcovich, Omri Abend, Ari Rappoport

IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing

Hui Wan, Tahira Naseem, Young-Suk Lee, Vittorio Castelli, Miguel Ballesteros

An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing

Dat Quoc Nguyen, Karin Verspoor

Multilingual Universal Dependency Parsing from Raw Text with Low-Resource Language Enhancement

Yingting Wu, Hai Zhao, Jia-Jun Tong

Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing

Zuchao Li, Shexia He, Zhuosheng Zhang, Hai Zhao

Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation

Wanxiang Che, Yijia Liu, Yuxuan Wang, Bo Zheng, Ting Liu

Semi-Supervised Neural System for Tagging, Parsing and Lematization

Piotr Rybak, Alina Wróblewska

CEA LIST: Processing Low-Resource Languages for CoNLL 2018

Elie Duthoo, Olivier Mesnard

The 2018 Shared Task on Extrinsic Parser Evaluation: On the Downstream Utility of English Universal Dependency Parsers

Murhaf Fares, Stephan Oepen, Lilja Øvrelid, Jari Björne, Richard Johansson

CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

Daniel Zeman, Jan Hajic, Martin Popel, Martin Potthast, Milan Straka

Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

Daniel Zeman, Jan Hajic

Sequence to Sequence Mixture Model for Diverse Machine Translation

Xuanli He, Gholamreza Haffari, Mohammad Norouzi

From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information

Hengru Xu, Shen Li, Renfen Hu, Si Li, Sheng Gao

Neural Maximum Subgraph Parsing for Cross-Domain Semantic Dependency Analysis

Yufei Chen, Sheng Huang, Fang Wang, Junjie Cao, Weiwei Sun

Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner

Yury Zemlyanskiy, Fei Sha

Model Transfer with Explicit Knowledge of the Relation between Class Definitions

Hiyori Yoshikawa, Tomoya Iwakura

Modelling Salient Features as Directions in Fine-Tuned Semantic Spaces

Thomas Ager, Ondrej Kuzelka, Steven Schockaert

End-to-End Neural Entity Linking

Nikolaos Kolitsas, Octavian-Eugen Ganea, Thomas Hofmann

The Lifted Matrix-Space Model for Semantic Composition

Woojin Chung, Sheng-Fu Wang, Samuel Bowman

Improving Response Selection in Multi-Turn Dialogue Systems by Incorporating Domain Knowledge

Debanjan Chaudhuri, Agustinus Kristiadi, Jens Lehmann, Asja Fischer

Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models

Tong Niu, Mohit Bansal

Aggregated Semantic Matching for Short Text Entity Linking

Feng Nie, Shuyan Zhou, Jing Liu, Jinpeng Wang, Chin-Yew Lin

Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)

Trevor Cohen, Dominic Widdows

Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus

Roxanne El Baff, Henning Wachsmuth, Khalid Al-Khatib, Benno Stein

DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding

Min Li, Marina Danilevsky, Sara Noeman, Yunyao Li

Linguistically-Based Deep Unstructured Question Answering

Ahmad Aghaebrahimian

Resources to Examine the Quality of Word Embedding Models Trained on n-Gram Data

Ábel Elekes, Adrian Englhardt, Martin Schäler, Klemens Böhm

Unsupervised Sentence Compression using Denoising Auto-Encoders

Thibault Fevry, Jason Phang

Lessons Learned in Multilingual Grounded Language Learning

Ákos Kádár, Desmond Elliott, Marc-Alexandre Côté, Grzegorz Chrupała, Afra Alishahi

Vectorial Semantic Spaces Do Not Encode Human Judgments of Intervention Similarity

Paola Merlo, Francesco Ackermann

Evolutionary Data Measures: Understanding the Difficulty of Text Classification Tasks

Edward Collins, Nikolai Rozanov, Bingbing Zhang

Modeling Composite Labels for Neural Morphological Tagging

Alexander Tkachenko, Kairit Sirts

Weakly-Supervised Neural Semantic Parsing with a Generative Ranker

Jianpeng Cheng, Mirella Lapata

Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit

Amrith Krishna, Bodhisattwa P. Majumder, Rajesh Bhat, Pawan Goyal

Learning to Actively Learn Neural Machine Translation

Ming Liu, Wray Buntine, Gholamreza Haffari

Predefined Sparseness in Recurrent Sequence Models

Thomas Demeester, Johannes Deleu, Fréderic Godin, Chris Develder

Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!

Katharina Kann, Sascha Rothe, Katja Filippova

Sequence Classification with Human Attention

Maria Barrett, Joachim Bingel, Nora Hollenstein, Marek Rei, Anders Søgaard

Comparing Models of Associative Meaning: An Empirical Investigation of Reference in Simple Language Games

Judy Hanwen Shen, Matthias Hofer, Bjarke Felbo, Roger Levy

Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation

Mikel Artetxe, Gorka Labaka, Iñigo Lopez-Gazpio, Eneko Agirre

Taraka Rama

Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge

Steven Derby, Paul Miller, Brian Murphy, Barry Devereux

Multi-Modal Sequence Fusion via Recursive Attention for Emotion Recognition

Rory Beard, Ritwik Das, Raymond W. M. Ng, P. G. Keerthana Gopalakrishnan, Luka Eerens

Chinese Poetry Generation with a Salient-Clue Mechanism

Xiaoyuan Yi, Ruoyu Li, Maosong Sun

A Temporally Sensitive Submodularity Framework for Timeline Summarization

Sebastian Martschat, Katja Markert

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings

Kamil Bennani-Smires, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl, Martin Jaggi

Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction

Yova Kementchedjhieva, Sebastian Ruder, Ryan Cotterell, Anders Søgaard

Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?

Eylon Shoshan, Kira Radinsky

Bidirectional Generative Adversarial Networks for Neural Machine Translation

Zhirui Zhang, Shujie LIU, Mu Li, Ming Zhou, Enhong Chen

Hierarchical Attention Based Position-Aware Network for Aspect-Level Sentiment Analysis

Lishuang Li, Yang Liu, AnQiao Zhou

Learning Text Representations for 500K Classification Tasks on Named Entity Disambiguation

Ander Barrena, Aitor Soroa, Eneko Agirre

Churn Intent Detection in Multilingual Chatbot Conversations and Social Media

Christian Abbet, Meryem M’hamdi, Athanasios Giannakopoulos, Robert West, Andreea Hossmann

Active Learning for Interactive Neural Machine Translation of Data Streams

Álvaro Peris, Francisco Casacuberta

Commonsense Knowledge Base Completion and Generation

Itsumi Saito, Kyosuke Nishida, Hisako Asano, Junji Tomita

Learning to Embed Semantic Correspondence for Natural Language Understanding

Sangkeun Jung, Jinsik Lee, Jiwon Kim

Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering

Deepak Gupta, Pabitra Lenka, Asif Ekbal, Pushpak Bhattacharyya

Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension

Matthias Blohm, Glorianna Jagfeld, Ekta Sood, Xiang Yu, Ngoc Thang Vu

Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction

Maha Elbayad, Laurent Besacier, Jakob Verbeek

Global Attention for Name Tagging

Boliang Zhang, Spencer Whitehead, Lifu Huang, Heng Ji

From Strings to Other Things: Linking the Neighborhood and Transposition Effects in Word Reading

Stéphan Tulkens, Dominiek Sandra, Walter Daelemans

Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge

Pasquale Minervini, Sebastian Riedel

Corpus-Driven Thematic Hierarchy Induction

Ilia Kuznetsov, Iryna Gurevych

A Unified Neural Network Model for Geolocating Twitter Users

Mohammad Ebrahimi, Elaheh ShafieiBavani, Raymond Wong, Fang Chen

A Trio Neural Model for Dynamic Entity Relatedness Ranking

Tu Ngoc Nguyen, Tuan Tran, Wolfgang Nejdl

Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems

Van-Khanh Tran, Le-Minh Nguyen

Continuous Word Embedding Fusion via Spectral Decomposition

Tianfan Fu, Cheng Zhang, Stephan Mandt

Embedded-State Latent Conditional Random Fields for Sequence Labeling

Dung Thai, Sree Harsha Ramesh, Shikhar Murty, Luke Vilnis, Andrew McCallum