Is all that Glitters in Machine Translation Quality Estimation really Gold?

no code implementations • COLING 2016 • Yvette Graham, Timothy Baldwin, Meghan Dowling, Maria Eskevich, Teresa Lynn, Lamia Tounsi

Human-targeted metrics provide a compromise between human evaluation of machine translation, where high inter-annotator agreement is difficult to achieve, and fully automatic metrics, such as BLEU or TER, that lack the validity of human assessment.

Machine Translation Translation

DCU: Aspect-based Polarity Classification for SemEval Task 4

no code implementations • SEMEVAL 2014 • Joachim Wagner, Piyush Arora, Santiago Cortes, Utsab Barman, Dasha Bogdanova, Jennifer Foster, Lamia Tounsi

Aspect-Based Sentiment Analysis (ABSA) Classification +1

Cross-lingual Transfer Parsing for Low-Resourced Languages: An Irish Case Study

no code implementations • WS 2014 • Teresa Lynn, Jennifer Foster, Mark Dras, Lamia Tounsi

Cross-Lingual Transfer

Sentiment Analysis of Political Tweets: Towards an Accurate Classifier

no code implementations • WS 2013 • Akshat Bakliwal, Jennifer Foster, Jennifer van der Puil, Ron O{'}Brien, Lamia Tounsi, Mark Hughes

Feature Engineering Sentiment Analysis

Automatic Extraction and Evaluation of Arabic LFG Resources

no code implementations • LREC 2012 • Mohammed Attia, Khaled Shaalan, Lamia Tounsi, Josef van Genabith

We utilize this annotation to automatically acquire grammatical function (dependency) based subcategorization frames and paths linking long-distance dependencies (LDDs).

POS