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Comparison Study on Critical Components in Composition Model for Phrase Representation
Shaonan Wang, Chengqing Zong
Article No.: 16
Phrase representation, an important step in many NLP tasks, involves representing phrases as continuous-valued vectors. This article presents detailed comparisons concerning the effects of word vectors, training data, and the composition and...
Improving Transition-Based Dependency Parsing of Hindi and Urdu by Modeling Syntactically Relevant Phenomena
Riyaz Ahmad Bhat, Irshad Ahmad Bhat, Dipti Misra Sharma
Article No.: 17
In recent years, transition-based parsers have shown promise in terms of efficiency and accuracy. Though these parsers have been extensively explored for multiple Indian languages, there is still considerable scope for improvement by properly...
Named Entity Recognition with Word Embeddings and Wikipedia Categories for a Low-Resource Language
Arjun Das, Debasis Ganguly, Utpal Garain
Article No.: 18
In this article, we propose a word embedding--based named entity recognition (NER) approach. NER is commonly approached as a sequence labeling task with the application of methods such as conditional random field (CRF). However, for low-resource...