計算機語言學國際大會COLING 2018公佈9篇最佳論文

機器之心發表於2018-06-19

COLING 的論文獎項設定比較特別,不像其它會議那樣一般只設定最佳論文、傑出論文、最佳學生論文等含義較模糊的獎項,而是把最佳論文分成了好幾個種類,比如最佳誤差分析、最佳語言分析等能讓人聯絡到主題的名字,其中每個類會公佈一篇獲獎論文。

今年的 COLING 共有 44 篇提名最佳論文,並最終選出了 9 篇獲得最佳論文獎,分別是:

  • 最佳誤差分析:SGM: Sequence Generation Model for Multi-label Classification, by Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu and Houfeng Wang.
  • 最佳評估:SGM: Sequence Generation Model for Multi-label Classification, by Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu and Houfeng Wang.
  • 最佳語言分析:Distinguishing affixoid formations from compounds, by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert
  • 最佳 NLP 工程實驗:Authorless Topic Models: Biasing Models Away from Known Structure, by Laure Thompson and David Mimno
  • 最佳立場論文:Arguments and Adjuncts in Universal Dependencies, by Adam Przepiórkowski and Agnieszka Patejuk
  • 最佳復現論文:Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering, by Wuwei Lan and Wei Xu
  • 最佳資源論文:AnlamVer: Semantic Model Evaluation Dataset for Turkish – Word Similarity and Relatedness, by Gökhan Ercan and Olcay Taner Yıldız
  • 最佳綜述論文:A Survey on Open Information Extraction, by Christina Niklaus, Matthias Cetto, André Freitas and Siegfried Handschuh
  • 最具可復現性研究:Design Challenges and Misconceptions in Neural Sequence Labeling, by Jie Yang, Shuailong Liang and Yue Zhang

其它的獲得「領域主席最愛」,也就是由評審員提名並被主席認定為 excellent 的論文,分別是:

  • 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

參考內容:http://coling2018.org/coling-2018-best-papers/

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