AbstractIn this paper, a novel morph-fitting procedure is proposed to injects morphological constraints generated using simple language-specific rules. Result: improves low-frequency word estimates;
wordscongruent:全等 AbstractThe paraphrase Database (PPDB) consists of a list of phrase pairs with heuristic confidence estimates. Its coverage is also necessarily incomplete. They propose models to:
IntroductionThis paper proposes a method for refining vector space representations using relational information from semantic lexicons by encouraging linked words to have similar vector representation
ACL2016Representation Learning Context-Dependent Sense Embedding Jointly Embedding Knowledge Graphs and Logical Rules Learning Connective-based Word Representations for Implicit Discourse Relation Ide
ACL2016Representation Learning Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning Pointing the Unknown Words 这篇论文是用已有的信息来预测未登录词。可以一看 Literal and Metaph
名词解释antonymy:反义关系synonymy:同义关系DST:dialogue state tracking task aimimprove the vectors’ capability for judging semantic similarity result lead to a new state of the art performance on the SimLex-999 da
Abstract提出两个创新的模型架构，用于在非常大的数据集上计算连续型的词向量表示。这些表示的好坏的用词相似性任务来测量。计算复杂度下降了，同时在准确度上还有巨大的提升。在当时是state-of-the-art的做法。 1 Introduction许多现在的系统将词表示在词库中的索引，并不包含词的相似性的概念。这个选择的原因是：简单、鲁棒以及一个观察到的现象：在大量数据上训练出来的简单模型要比在