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Searching and reading the Web is one of the principal methods used to seek out infor- mation to resolve problems about technol- ogy in general and digital devices in partic- …...

This research focuses on improving in- formation access over troubleshooting- oriented technical user forums via thread- level analysis. We describe a modular task formulation and novel dataset, and go on …...

Twitter provides access to large volumes of data in real time, but is notoriously noisy, hampering its utility for NLP. In this paper, we target out-of-vocabulary words in short text …...

Recent work has developed supervised meth- ods for detecting deceptive opinion spam— fake reviews written to sound authentic and deliberately mislead readers. And whereas past work has focused on identifying …...

We propose an unsupervised method for au- tomatically calculating word usage similar- ity in social media data based on topic mod- elling, which we contrast with a baseline dis- tributional …...

Text data has recently been used as evi- dence in estimating the political ideologies of individuals, including political elites and social media users. While inferences about people are often the …...

The task of document quality assessment is a highly complex one, which draws on analysis of aspects including linguistic content, document structure, fact correct- ness, and community norms. We explore …...

AbstractLexical relation classification is the task of predicting whether a certain relation holds between a given pair of words. In this paper, we explore to which extent the current distributional …...

AbstractGenerating a concise summary from a large collection of arguments on a given topic is an intriguing yet understudied problem. We propose to represent such summaries as a small set …...

AbstractAligning sentences in a reference summary with their counterparts in source documents was shown as a useful auxiliary summarization task, notably for generating training data for salience detection. Despite its …...

AbstractVaccine hesitancy is widespread, despite the government’s information campaigns and the efforts of the World Health Organisation (WHO). Categorising the topics within vaccine-related narratives is crucial to understand the concerns …...

AbstractPretrained language models (PLMs) for data-to-text (D2T) generation can use human-readable data labels such as column headings, keys, or relation names to generalize to out-of-domain examples. However, the models are …...