There are multiple categories of award at COLING 2018, as we laid out in an earlier blog post. We received 44 nominations for best papers over ten categories, and conferred best paper awards in the categories as follows:

Best error analysis: SGM: Sequence Generation Model for Multi-label Classification, by Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu and Houfeng Wang.

SGM: Sequence Generation Model for Multi-label Classification, by Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu and Houfeng Wang. Best evaluation: SGM: Sequence Generation Model for Multi-label Classification, by Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu and Houfeng Wang.

SGM: Sequence Generation Model for Multi-label Classification, by Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu and Houfeng Wang. Best linguistic analysis: Distinguishing affixoid formations from compounds, by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert

Distinguishing affixoid formations from compounds, by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert Best NLP engineering experiment: Authorless Topic Models: Biasing Models Away from Known Structure, by Laure Thompson and David Mimno

Authorless Topic Models: Biasing Models Away from Known Structure, by Laure Thompson and David Mimno Best position paper: Arguments and Adjuncts in Universal Dependencies, by Adam Przepiórkowski and Agnieszka Patejuk

Arguments and Adjuncts in Universal Dependencies, by Adam Przepiórkowski and Agnieszka Patejuk Best reproduction paper: Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering, by Wuwei Lan and Wei Xu

Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering, by Wuwei Lan and Wei Xu Best resource paper: AnlamVer: Semantic Model Evaluation Dataset for Turkish – Word Similarity and Relatedness, by Gökhan Ercan and Olcay Taner Yıldız

AnlamVer: Semantic Model Evaluation Dataset for Turkish – Word Similarity and Relatedness, by Gökhan Ercan and Olcay Taner Yıldız Best survey paper: A Survey on Open Information Extraction, by Christina Niklaus, Matthias Cetto, André Freitas and Siegfried Handschuh

A Survey on Open Information Extraction, by Christina Niklaus, Matthias Cetto, André Freitas and Siegfried Handschuh Most reproducible: Design Challenges and Misconceptions in Neural Sequence Labeling, by Jie Yang, Shuailong Liang and Yue Zhang

Note that, as announced last year, for open science & reproducibility COLING 2018 did not confer best paper awards to paper that could not make the code/resources publicly available by camera ready time. This means you can ask the best paper authors for associated data and programs right now, and they should be able to provide you with a link.

In addition, we would like to note the following papers as “Area Chair Favorites”, which were nominated by reviewers and recognised as excellent by chairs.

Visual Question Answering Dataset for Bilingual Image Understanding: A study of cross-lingual transfer using attention maps. Nobuyuki Shimizu, Na Rong and Takashi Miyazaki

Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models. Henry Moss, David Leslie and Paul Rayson

Measuring the Diversity of Automatic Image Descriptions. Emiel van Miltenburg, Desmond Elliott and Piek Vossen

Reading Comprehension with Graph-based Temporal-Causal Reasoning. Yawei Sun, Gong Cheng and Yuzhong Qu

Diachronic word embeddings and semantic shifts: a survey. Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski and Erik Velldal

Transfer Learning for Entity Recognition of Novel Classes. Juan Diego Rodriguez, Adam Caldwell and Alexander Liu

Joint Modeling of Structure Identification and Nuclearity Recognition in Macro Chinese Discourse Treebank. Xiaomin Chu, Feng Jiang, Yi Zhou, Guodong Zhou and Qiaoming Zhu

Unsupervised Morphology Learning with Statistical Paradigms. Hongzhi Xu, Mitchell Marcus, Charles Yang and Lyle Ungar

Challenges of language technologies for the Americas indigenous languages. Manuel Mager, Ximena Gutierrez-Vasques, Gerardo Sierra and Ivan Meza-Ruiz

A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis. Yicheng Zou, Tao Gui, Qi Zhang and Xuanjing Huang

From Text to Lexicon: Bridging the Gap between Word Embeddings and Lexical Resources. Ilia Kuznetsov and Iryna Gurevych

The Road to Success: Assessing the Fate of Linguistic Innovations in Online Communities. Marco Del Tredici and Raquel Fernández

Relation Induction in Word Embeddings Revisited. Zied Bouraoui, Shoaib Jameel and Steven Schockaert

Learning with Noise-Contrastive Estimation: Easing training by learning to scale. Matthieu Labeau and Alexandre Allauzen

Stress Test Evaluation for Natural Language Inference. Aakanksha Naik, Abhilasha Ravichander, Norman Sadeh, Carolyn Rose and Graham Neubig

Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs. Wenpeng Yin, Yadollah Yaghoobzadeh and Hinrich Schütze

SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions. Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney and Nazli Goharian

Automatically Extracting Qualia Relations for the Rich Event Ontology. Ghazaleh Kazeminejad, Claire Bonial, Susan Windisch Brown and Martha Palmer

What represents “style” in authorship attribution?. Kalaivani Sundararajan and Damon Woodard

SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors. Luis Espinosa Anke and Steven Schockaert

GenSense: A Generalized Sense Retrofitting Model. Yang-Yin Lee, Ting-Yu Yen, Hen-Hsen Huang, Yow-Ting Shiue and Hsin-Hsi Chen

A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task. Qian Li, Ziwei Li, Jin-Mao Wei, Yanhui Gu, Adam Jatowt and Zhenglu Yang

Abstract Meaning Representation for Multi-Document Summarization. Kexin Liao, Logan Lebanoff and Fei Liu

Cooperative Denoising for Distantly Supervised Relation Extraction. Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan and Ying Shen

Dialogue Act Driven Conversation Model: An Experimental Study. Harshit Kumar, Arvind Agarwal and Sachindra Joshi

Dynamic Multi-Level, Multi-Task Learning for Sentence Simplification. Han Guo, Ramakanth Pasunuru and Mohit Bansal

A Knowledge-Augmented Neural Network Model for Implicit Discourse Relation Classification. Yudai Kishimoto, Yugo Murawaki and Sadao Kurohashi

Abstractive Multi-Document Summarization using Paraphrastic Sentence Fusion. Mir Tafseer Nayeem, Tanvir Ahmed Fuad and Yllias Chali

They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking. Ethan Zhou and Jinho D. Choi

A Comparison of Transformer and Recurrent Neural Networks on Multilingual NMT. Surafel Melaku Lakew, Mauro Cettolo and Marcello Federico

Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media. Isabel Cachola, Eric Holgate, Daniel Preoţiuc-Pietro and Junyi Jessy Li

On Adversarial Examples for Character-Level Neural Machine Translation. Javid Ebrahimi, Daniel Lowd and Dejing Dou

Neural Transition-based String Transduction for Limited-Resource Setting in Morphology. Peter Makarov and Simon Clematide

Structured Dialogue Policy with Graph Neural Networks. Lu Chen, Bowen Tan, Sishan Long and Kai Yu

We would like to recognise with exceptional thanks our best paper committee.