Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification.
Domain Adaptation (DA) techniques aim at enabling machine learning methods learn
effective classifiers for a" target" domain when the only available training data belongs to a …
effective classifiers for a" target" domain when the only available training data belongs to a …
A framework for technology-assisted sensitivity review: using sensitivity classification to prioritise documents for review
G McDonald - ACM SIGIR Forum, 2021 - dl.acm.org
More than a hundred countries implement freedom of information laws. In the UK, the
Freedom of Information Act 2000 [1](FOIA) states that the government's documents must be …
Freedom of Information Act 2000 [1](FOIA) states that the government's documents must be …
Lightweight random indexing for polylingual text classification
Multilingual Text Classification (MLTC) is a text classification task in which documents are
written each in one among a set L of natural languages, and in which all documents must be …
written each in one among a set L of natural languages, and in which all documents must be …
Revisiting distributional correspondence indexing: A Python reimplementation and new experiments
This paper introduces PyDCI, a new implementation of Distributional Correspondence
Indexing (DCI) written in Python. DCI is a transfer learning method for cross-domain and …
Indexing (DCI) written in Python. DCI is a transfer learning method for cross-domain and …
[PDF][PDF] Istituto di Scienza e Tecnologie dell'Informazione Consiglio Nazionale delle Ricerche 56124 Pisa, Italy {firstname. lastname}@ isti. cnr. it
This paper introduces PyDCI, a new implementation of Distributional Correspondence
Indexing (DCI) written in Python. DCI is a transfer learning method for cross-domain and …
Indexing (DCI) written in Python. DCI is a transfer learning method for cross-domain and …
[PDF][PDF] Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification
Abstract Domain Adaptation (DA) techniques aim at enabling machine learning methods
learn effective classifiers for a “target” domain when the only available training data belongs …
learn effective classifiers for a “target” domain when the only available training data belongs …
[PDF][PDF] Lightweight Random Indexing for Polylingual Text Classification
Abstract Polylingual Text Classification (PLC) is a supervised learning task that consists of
assigning class labels to documents written in different languages, assuming that a …
assigning class labels to documents written in different languages, assuming that a …