Word Representations and Machine Learning Models for Implicit Sense Classification in Shallow Discourse Parsing

Word Representations and Machine Learning Models for Implicit Sense Classification in Shallow Discourse Parsing

CoNLL 2015 featured a shared task on shallow discourse parsing. In 2016, the efforts continued with an increasing focus on sense classification. In the case of implicit sense classification, there was an interesting mix of traditional and modern machine learning classifiers using word representation...

Full description

Bibliographic Details
Main Author: Callin, Jimmy
Format: Others
Language:English
Published: Uppsala universitet, Institutionen för lingvistik och filologi 2017
Subjects:
machine learning
neural networks
word representations
word embeddings
distributional semantic models
word vectors
discourse parsing
shallow discourse parsing
maskininlärning
neurala nätverk
ordrepresentationer
distributionella semantiska modeller
diskursparsning
Language Technology (Computational Linguistics)
Språkteknologi (språkvetenskaplig databehandling)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325876

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325876

Similar Items