This paper presents Hedge Trimmer, a HEaDline GEneration system that creates a headline for a newspaper story using linguistically-motivated heuristics to guide the choice of a potential headline. We present feasibility tests used to establish the validity of an approach that constructs a headline by selecting words in order from a story. In addition, we describe experimental results that demon...

Deep neural networks have achieved remarkable results across many language processing tasks, however they have been shown to be susceptible to overfitting and highly sensitive to noise, including adversarial attacks. In this work, we propose a linguistically-motivated approach for training robust models based on exposing the model to corrupted text examples at training time. We consider several...

Detecting the linguistic scope of negated and speculated information in text is an important Information Extraction task. This paper presents ScopeFinder, a linguistically motivated rule-based system for the detection of negation and speculation scopes. The system rule set consists of lexico-syntactic patterns automatically extracted from a corpus annotated with negation/speculation cues and th...

The goal of this study is to automatically differentiate French varieties (standard French and French varieties spoken in the South of France, Alsace, Belgium and Switzerland) by applying a linguistically-motivated approach. We took advantage of automatic phoneme alignment to measure vowel formants, consonant (de)voicing, pronunciation variants as well as prosodic cues. These features were then...

For modeling of change of terminal server load, the approach including representation of time series of server parameters in the form of fuzzy time series is used. Further in the article the analysis of fuzzy time series is considered. The model of fuzzy tendencies is offered for terminal server traffic modeling. This model reflects change of the volume of terminal server traffic expressed ling...

Minimalist grammars can be specified in terms of their derivation tree languages and a mapping from derivations to derived trees, each of which is definable in monadic second-order logic (MSO). It has been shown that the linguistically motivated operation Late Merge can push either component past the threshold of MSO-definability. However, Late Merge as used in the syntactic literature can be e...

In ongoing work on spatial relations and scene interpretation, we present a system that linguistically describes the motion of an object in a temporal sequence. This description, called the dynamic linguistic description, is inferred from a sequence of static linguistic descriptions explaining the relative position, at different instances, between a moving object and a stationary object. In thi...

We explore the selection of training data for language models using perplexity. We introduce three novel models that make use of linguistic information and evaluate them on three different corpora and two languages. In four out of the six scenarios a linguistically motivated method outperforms the purely statistical state-of-theart approach. Finally, a method which combines surface forms and th...

Can one trust experiments conducted with repetitive speech to represent normal language behaviour? We compare the spectra of repetitive productions of phrases with the same phrases read from a randomised list. We use a data-driven spectral distortion measure that is trained to respond to linguistically relevant differences: it is based on a classifier that separates sounds into linguistically e...

This paper describes an approach to discriminating similar languages using wordand characterbased features, submitted as the Queen Mary University of London entry to the Discriminating Similar Languages shared task. Our motivation was to investigate how well a simple, datadriven, linguistically naive method could perform, in order to provide a baseline by which more linguistically complex or kn...