PRO会员通讯
COLING 的论文奖项设置比较特别，不像其它会议那样一般只设置最佳论文、杰出论文、最佳学生论文等含义较模糊的奖项，而是把最佳论文分成了好几个种类，比如最佳误差分析、最佳语言分析等能让人联系到主题的名字，其中每个类会公布一篇获奖论文。
今年的 COLING 共有 44 篇提名最佳论文，并最终选出了 9 篇获得最佳论文奖，分别是：
- 最佳误差分析：SGM: Sequence Generation Model for Multi-label Classification, by Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu and Houfeng Wang.
- 最佳评估：SGM: Sequence Generation Model for Multi-label Classification, by Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu and Houfeng Wang.
- 最佳语言分析：Distinguishing affixoid formations from compounds, by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert
- 最佳 NLP 工程实验：Authorless Topic Models: Biasing Models Away from Known Structure, by Laure Thompson and David Mimno
- 最佳立场论文：Arguments and Adjuncts in Universal Dependencies, by Adam Przepiórkowski and Agnieszka Patejuk
- 最佳复现论文：Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering, by Wuwei Lan and Wei Xu
- 最佳资源论文：AnlamVer: Semantic Model Evaluation Dataset for Turkish – Word Similarity and Relatedness, by Gökhan Ercan and Olcay Taner Yıldız
- 最佳综述论文：A Survey on Open Information Extraction, by Christina Niklaus, Matthias Cetto, André Freitas and Siegfried Handschuh
- 最具可复现性研究：Design Challenges and Misconceptions in Neural Sequence Labeling, by Jie Yang, Shuailong Liang and Yue Zhang
其它的获得「领域主席最爱」，也就是由评审员提名并被主席认定为 excellent 的论文，分别是：
- 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
- Semantic Vector Networks. 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
参考内容：http://coling2018.org/coling-2018-best-papers/
