We describe the work carried out by DCU on the Aspect Based Sentiment Analysis task at
SemEval 2014. Our team submitted one constrained run for the restaurant domain and one …

The last few years have seen a surge in the number of accurate, fast, publicly available
dependency parsers. At the same time, the use of dependency parsing in NLP applications …

We describe a shared task on parsing web text from the Google Web Treebank. Participants
were to build a single parsing system that is robust to domain changes and can handle noisy …

Neural parsers obtain state-of-the-art results on benchmark treebanks for constituency
parsing--but to what degree do they generalize to other domains? We present three results …

This paper describes the system used by the LIPN team in the Semantic Textual Similarity
task at SemEval 2013. It uses a support vector regression model, combining different text …

In this paper, we address the problem of web-domain POS tagging using a twophase
approach. The first phase learns representations that capture regularities underlying web …

The integration of compounds in a parsing procedure has been shown to improve accuracy
in an artificial context where such expressions have been perfectly preidentified. This article …

We present a simple yet powerful approach to non-factoid answer reranking whereby
question-answer pairs are represented by concatenated distributed representation vectors …

Despite enjoying the status of an official EU language, Irish is considered a minority
language. As with most minority languages, it is alow-density'language, which means it …

We improve upon a previous line of work for parsing web data, by exploring the impact of
different decisions regarding the training data. First, we compare training on automatically …