Articles

A main output of the annual Workshop on Statistical Machine Translation (WMT) is a ranking of the systems that partici- pated in its shared translation tasks, pro- duced by aggregating pairwise sentence- level comparisons collected from human judges. Over the past few years, there have been a number of tweaks …...

Topic modeling is an unsupervised ma- chine-learning task of discovering topics, the underlying thematic structure in a text corpus. Dynamic topic models are capa- ble of analysing the time evolution of topics. This paper explores the applica- tion of dynamic topic models on emer- gency department triage notes to identify …...

In forensics, mobile phones or handsets store potentially valuable information such as Contact lists, SMS Messages, or possibly emails and Calendar appoint- ments. However, navigating to this con- tent on non-English configured handsets, when the operator is untrained in the lan- guage, becomes a difficult task. We dis- cuss a …...

We give a hands-on demonstration of the Alveo Virtual Laboratory, a new plat- form for collaborative research in human communication science (HCS). Funded by the Australian Government National eResearch Collaboration Tools and Re- sources (NeCTAR) program, Alveo in- volves partners from a range of disci- plines: linguistics, natural language pro- …...

We experiment graph-based Semi- Supervised Learning (SSL) of Conditional Random Fields (CRF) for the application of Spoken Language (SLU) on unaligned data.Understanding The aligned labels for examples are obtained using IBM Model. We adapt a baseline semi- supervised CRF by defining new feature set and altering the label propagation al- …...

This paper addresses the text classification problem that training data may derive from a different time period from the test data. We present a method of temporal-based term selection for timeline adaptation. We selected two types of informative terms ac- cording to corpus statistics. One is tempo- ral independent terms …...

In this paper we show that information from citing papers can help perform ex- tractive summarisation of medical publica- tions, especially when the amount of text available for development is limited. We used the data of the TAC 2014 biomed- ical summarisation task. We report sev- eral methods to find …...

The Duality of Expertise considers the “Expert” to be a social role dependent on an individual’s expertise claims and the opinion of their community towards those claims. These are the internal and exter- nal aspects of a person’s expertise. My Expertise Model incorporates this duality in a process designed for …...

This paper presents ongoing work to de- velop an earthquake detector based on near-real-time microblog messages from China. The system filters earthquake re- lated keywords from Sina Weibo messages available on the public timeline and uses a classifier to determine if the messages cor- respond to people experiencing an earth- …...

This paper empirically explores the influ- ence of two types of factors on the in- terpretation of spoken object descriptions: (1) descriptive attributes, e.g., colour and size; and (2) interpretation stages, e.g., syntax and pragmatics. We also investi- gate two schemes for combining attributes when estimating the goodness of an …...

Biographical summarisation can provide succinct and meaningful answers to the question “Who is X?”. Current super- vised summarisation approaches extract sentences from documents using features from textual context. In this paper, we explore a novel approach to biographical summarisation, by extract- ing important sentences from an entity’s Wikipedia page based …...

Named entity linking (NEL) can be applied to documents such as financial reports, web pages and news articles, but state of the art disambiguation techniques are currently too slow for web-scale applica- tions because of a high complexity with re- spect to the number of candidates. In this paper, we …...

We present an architecture and implemen- tation of a system that builds structured test suites for concept recognition systems. The system applies provided test case def- initions to a target concept vocabulary, to generate test cases organised accord- ing to those definitions. Test case defini- tions capture particular characteristics, or …...

The identification of cognates between two distinct languages has recently start- ed to attract the attention of NLP re- search, but there has been little research into using semantic evidence to detect cognates. The approach presented in this paper aims to detect English-French cog- nates within monolingual texts (texts that …...

There has been considerable work on syn- tactic language models and they have ad- vanced greatly over the last decade. Most of them have used a probabilistic context- free grammar (PCFG) or a dependency grammar (DG). In particular, DG has at- tracted more and more interest in the past years …...

Navigation of blind people is different from the navigation of sighted people and there is also difference when the blind per- son is recovering from getting lost. In this paper we focus on qualitative analysis of dialogs between lost blind person and nav- igator, which is done through the mobile …...

Open environments present an attention management challenge for conversational systems. We describe a kiosk system (based on Ravenclaw–Olympus) that uses simple auditory and visual information to interpret human presence and manage the system’s attention. The system robustly differentiates intended interactions from unintended ones at an accuracy of 93% and provides …...

In this paper we introduce a new UI paradigm that mimics radio broadcast along with a prototype called Radio One. The approach aims to present useful infor- mation from multiple domains to mobile users (e.g. drivers on the go or cell phone users). The information is served in an en- …...

We present a multi-threaded Interaction Manager (IM) that is used to track differ- ent dimensions of user-system conversa- tions that are required to interleave with each other in a coherent and timely man- ner. This is explained in the context of a spoken dialogue system for pedestrian navigation and city …...

In this paper we describe a set of tech- niques we found suitable for building multi-modal search applications for au- tomotive environments. As these ap- plications often search across different topical domains, such as maps, weather or Wikipedia, we discuss the problem of switching focus between different do- mains. Also, …...