最佳学生论文《On-line Active Reward Learning for Policy Optimisation in SDS》(口语对话系统策略优化中的在线主动回报学习),作者全都来自剑桥大学,他们分别是Pei-Hao Su, Milica Gasiˇ c, Nikola Mrk ´ siˇ c, Lina Rojas-Barahona, Stefan Ultes, David Vandyke, Tsung-Hsien Wen 和 Steve Young。
据中国科学院计算技术研究所研究员刘群在微博上的介绍:Joan Bresnan 的获奖感言标题是 Linguistics: the Garden and the Bush,她把传统的语言学比作一个漂亮的花园,里面都是精美的理论,而现实的语言现象却像是灌木丛,只能用统计方法来处理。她介绍了她的研究工作从花园走向灌木丛的过程。
根据中国语言学家冯志伟的介绍,词汇功能语法(Lexical Functional Grammar, 简称 LFG)由J. Bresnan和R. M. Kaplan于1982年在《词汇功能语法 -- 一个语法表示的形式系统》(Lexical-functional Grammar: A Formal System for Grammatical Representation)一文中提出的。这种语法为自然语言的描述和语法知识的表达提供了一个有效的模式,它不仅可以解释幼儿的语言习得的机制,而且还可以解释人类处理自然语言的行为,从而满足了自然语言计算机处理的需要,在自然语言处理中得到了广泛的应用。词汇功能语法还采用了一系列有效的手段来克服短语结构语法的局限性,提高了语言自动分析的效率,成为当前最有影响的一种自然语言处理的形式模型。
通过参数控制生成基于广义变换的依存分析Generalized Transition-based Dependency Parsing via Control Parameters
作者:Bernd Bohnet, Ryan McDonald, Emily Pitler, Ji Ma
特定任务词表征学习中使用贝叶斯优化学习课程Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning
作者:Yulia Tsvetkov, Manaal Faruqui, Wang Ling (Google DeepMind), Chris Dyer (Google DeepMind)
使用基于图形的半监督学习生成形态句法词汇Morpho-syntactic Lexicon Generation Using Graph-based Semi-supervised Learning (TACL)
作者:Manaal Faruqui, Ryan McDonald, Radu Soricut
支持多语种的解析器Many Languages, One Parser (TACL)作者:Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer (Google DeepMind)*, Noah A. Smith
用于代码生成的隐藏预测器网络 Latent Predictor Networks for Code Generation
作者:Wang Ling (Google DeepMind), Phil Blunsom (Google DeepMind), Edward Grefenstette (Google DeepMind), Karl Moritz Hermann (Google DeepMind), Tomáš Kočiský (Google DeepMind), Fumin Wang (Google DeepMind), Andrew Senior (Google DeepMind)
使用多焦点聚焦的集体解析 Collective Entity Resolution with Multi-Focal Attention
作者:Amir Globerson, Nevena Lazic, Soumen Chakrabarti, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira
Plato:一种用于实体解析的选择语境模型 Plato: A Selective Context Model for Entity Resolution (TACL)
作者:Nevena Lazic, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira
WIKIREADING:维基百科上一个新的大规模语言理解任务 WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia
作者:Daniel Hewlett, Alexandre Lacoste, Llion Jones, Illia Polosukhin, Andrew Fandrianto, Jay Han, Matthew Kelcey, David Berthelot
堆栈传播:升级版句法表征学习Stack-propagation: Improved Representation Learning for Syntax
作者:Yuan Zhang, David Weiss
实证比较研究:词嵌入中的跨语言模型 Cross-lingual Models of Word Embeddings: An Empirical Comparison
作者:Shyam Upadhyay, Manaal Faruqui, Chris Dyer (Google DeepMind), Dan Roth
基于全局标准化变换的神经网络Globally Normalized Transition-Based Neural Networks (入选最佳论文)
作者:Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins
基于角色的神经对话模型 “A Persona-Based Neural Conversation Model”
作者: Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao and Bill Dolan
假设陈述中的进阶语义分析“Improved Semantic Parsers for If-Then Statements”
作者: I. Beltagy and Chris Quirk
知识库和文本中关系路径的嵌入组合学习“Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text”
作者:Kristina Toutanova, Victoria Lin, Wen-tau Yih, Hoifung Poon and Chris Quirk
一张图片中的生成自然问题“Generating Natural Questions about an Image”
作者: Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He and Lucy Vanderwende
用一个自然语言动作空间的深度增强学习“Deep Reinforcement Learning with a Natural Language Action Space”
作者: Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng and Mari Ostendorf
知识库问答中的语义解析标注的价值“The Value of Semantic Parse Labeling for Knowledge Base Question Answering”
作者: Wen-tau Yih, Matthew Richardson, Chris Meek, Ming-Wei Chang and Jina Suh
局部训练的词嵌入的问题扩展“Query Expansion with Locally-Trained Word Embeddings”
作者: Fernando Diaz, Bhaskar Mitra and Nick Craswell
使用矩阵结构的可扩展半监督问题归类 “Scalable Semi-Supervised Query Classification Using Matrix Sketching”
作者: Young-Bum Kim, Karl Stratos and Ruhi Sarikaya
从用户情感基调和用户环境情感对比来推断人口统计“Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast”
作者:Svitlana Volkova and Yoram Bachrach
采用门控递归半马尔科夫条件随机领域的分段序列建模“Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields”
作者: Jingwei Zhuo, Jun Zhu, Yong Cao, Zaiqing Nie and Bo Zhang
计算机解决数学题能做到多好?大规模数据集建立和评估“How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation”
作者: Danqing Huang, Shuming Shi, Chin-Yew Lin, Jian Yin and Wei-Ying Ma
通过耦合路径排序的知识库完善“Knowledge Base Completion via Coupled Path Ranking”
作者: Quan Wang, Jing Liu, Yuanfei Luo, Bin Wang and Chin-Yew Lin
内隐和外显语义的新闻引用推荐“News Citation Recommendation with Implicit and Explicit Semantics”
作者: Hao Peng, Jing Liu and Chin-Yew Lin
RBPB:事件提取中基于规则化的模式平衡方法“RBPB: Regularization-Based Pattern Balancing Method for Event Extraction”
作者: Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang, Zhifang Sui
DocChat:使用非结构文档的聊天机器人引擎信息检索方法“DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents”
作者: Zhao Yan, Nan Duan, Junwei Bao, Peng Chen, Ming Zhou, Zhoujun Li and Jianshe Zhou
机器翻译中,基于知识的语义嵌入“Knowledge-Based Semantic Embedding for Machine Translation”
作者: Chen Shi, Shujie Liu, Shuo Ren, Shi Feng, Mu Li, Ming Zhou, Xu Sun and Houfeng Wang