Distributed Word Representation
Related Papers
Improved Word Embeddings with Implicit Structure Information
AbstractDistributed word representation is an efficient method for capturing semantic and syntactic word relations. In this work, we introduce an extension to the continuous bag-of-words model for learning word representations …...
Investigating Language Universal and Specific Properties in Word Embeddings
Recently, many NLP tasks have benefit- ed from distributed word representation. However, it remains unknown whether embedding models are really immune to the typological diversity of languages, despite the language-independent …...
Task-oriented Word Embedding for Text Classification
AbstractDistributed word representation plays a pivotal role in various natural language processing tasks. In spite of its success, most existing methods only consider contextual information, which is suboptimal when used …...
DA-LD-Hildesheim at SemEval-2019 Task 6: Tracking Offensive Content with Deep Learning using Shallow Representation
AbstractThis paper presents the participation of team DA-LD-Hildesheim of Information Retrieval and Language Processing lab at DA-IICT, India in Semeval-19 OffenEval track. The aim of this shared task is to …...