Articles

The present paper describes procedures to visualise diachronic language changes in academic discourse to support analysis. These changes are reflected in the distri- bution of different lexico-grammatical fea- tures according to register. Findings about register differences are relevant for both lin- guistic applications (e.g., discourse analysis and translation studies) and …...

In our contribution to the ALTA 2012 shared task we experimented with the use of cluster-based features for sentence clas- sification. In a first stage we cluster the documents according to the distribution of sentence labels. We then use this informa- tion as a feature in standard classifiers. We observed …...

We describe the feature sets and methodol- ogy that produced the winning entry to the ALTA 2012 Shared Task (sentence classi- fication in evidence-based medicine). Our approach is based on a variety of feature sets, drawn from lexical and structural in- formation at the sentence level, as well as sequential …...

In this paper, we propose an automatic sen- tence classification model that can map sen- tences of a given biomedical abstract into set of pre-defined categories which are used for Evidence Based Medicine (EBM). In our model we explored the use of vari- ous lexical, structural and sequential fea- tures …...

The ALTA shared task ran for the third time in 2012, with the aim of bringing research students together to work on the same task and data set, and compare their methods in a current research problem. The task was based on a recent study to build classifiers for automatically …...

s Jared Willett,♠ Timothy Baldwin,♠♥ David Martinez♥ and Angus Webb♦ ♠ Department of Computing and Information Systems ♥ NICTA Victoria Research Laboratory ♦ Department of Resource Management and Geography The University of Melbourne, VIC 3010, Australia jwillett@student.unimelb.edu.au, tb@ldwin.net, davidm@csse.unimelb.edu.au, angus.webb@unimelb.edu.au Abstract One of the potentially most relevant pieces of metadata …...

“ONZE Miner”, an open-source tool for storing and automatically annotating Transcriber transcripts, has been redeveloped to use “annotation graphs” as its data model. The annotation graph framework provides the new software, “LaBB-CAT”, greater flexibility for automatic and manual annotation of corpus data at various independent levels of granularity, and allows …...

We describe the in-class evaluation of two versions of a tutorial dialogue sys- tem with 338 volunteers from a first-year undergraduate health-sciences class. One version uses supervised machine-learning techniques to classify student free-text re- sponses; the other requires students to se- lect their preferred response from a series of options …...

We investigated methods for the discov- ery of clich´es from song lyrics. Trigrams and rhyme features were extracted from a collection of lyrics and ranked using term-weighting techniques such as tf-idf. These attributes were also examined over both time and genre. We present an application to produce a clich´e score …...

Machine translation (MT) systems can only be improved if their performance can be reli- ably measured and compared. However, mea- surement of the quality of MT output is not straightforward, and, as we discuss in this paper, relies on correlation with inconsistent human judgments. Even when the question is captured …...

The Japanese language has absorbed large numbers of loanwords from many languages, in particular English. As well as using single loanwords, com- pound nouns, multiword expressions (MWEs), etc. constructed from loan- words can be found in use in very large quantities. In this paper we describe a system which has …...

This paper looks at the problem of va- lence shifting, rewriting a text to preserve much of its meaning but alter its senti- ment characteristics. There has only been a small amount of previous work on the task, which appears to be more difficult than researchers anticipated, not least in …...

We present a method to estimate word use similarity independent of an external sense inventory. This method utilizes a topic- modelling approach to compute the similar- ity in usage of a single word across a pair of sentences, and we evaluate our method in terms of its ability to reproduce …...

We describe a probabilistic approach that combines information obtained from a lexi- con with information obtained from a Na¨ıve Bayes (NB) classifier for multi-way sen- timent analysis. Our approach also em- ploys grammatical structures to perform ad- justments for negations, modifiers and sen- tence connectives. The performance of this method …...

We report on our ongoing work in devel- oping the Irish Dependency Treebank, de- scribe the results of two Inter-annotator Agreement (IAA) studies, demonstrate improvements in annotation consistency which have a knock-on effect on parsing accuracy, and present the final set of de- pendency labels. We then go on to …...

We perform a quantitative analysis of data in a corpus that specialises on summarisation for Ev- idence Based Medicine (EBM). The intent of the analysis is to discover possible directions for performing automatic evidence-based sum- marisation. Our analysis attempts to ascertain the extent to which good, evidence-based, multi- document summaries …...

This paper presents an annotation scheme for modelling citation contexts in scientific articles. We present an argumentation framework based on the Toulmin model for scientific articles and develop an annotation scheme with different context types based on the argumentation model. We present the results of the inter-rater reliability study carried …...

This paper outlines a novel approach for modelling semantic relationships within medical documents. Medical terminologies contain a rich source of semantic informa- tion critical to a number of techniques in medical informatics, including medical in- formation retrieval. Recent research sug- gests that corpus-driven approaches are ef- fective at automatically capturing …...

Minimum error rate training is often the pre- ferred method for optimizing parameters of statistical machine translation systems. MERT minimizes error rate by using a surrogate rep- resentation of the search space, such as N- best lists or hypergraphs, which only offer an incomplete view of the search space. In …...

Training the phrase table by force-aligning (FA) the training data with the reference trans- lation has been shown to improve the phrasal translation quality while significantly reduc- ing the phrase table size on medium sized tasks. We apply this procedure to several large-scale tasks, with the primary goal of re- …...