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Adverse Drug Reaction Classification With Deep Neural Networks
tl;dr
We study the problem of detecting sentences describing adverse drug reactions (ADRs) and frame the problem as binary classification. Expand
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  • Open Access
A Comparative Evaluation of Algorithms for Discovering Translational Patterns in Baroque Keyboard Works
tl;dr
This paper discusses and evaluates algorithms that are intended for the following task: given a piece of music in a semi-symbolic representation, discover so-called translational patterns. Expand
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  • Open Access
Analysing anaphoric ambiguity in natural language requirements
tl;dr
We describe an automated approach to identify potentially nocuous ambiguity, which occurs when text is interpreted differently by different readers. Expand
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  • Open Access
Making Tacit Requirements Explicit
tl;dr
We present a brief review and interpretation of the literature on tacit knowledge that, we believe, is useful for RE with the aim of developing tools and techniques to mitigate and manage its effects. Expand
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Temporal Latent Topic User Profiles for Search Personalisation
tl;dr
The performance of search personalisation largely depends on how to build user profiles effectively. Expand
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  • Open Access
Automatic detection of nocuous coordination ambiguities in natural language requirements
tl;dr
We describe an automated approach for characterizing and detecting so-called nocuous ambiguities, which carry a high risk of misunderstanding among different readers. Expand
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  • Open Access
Unpacking Tacit Knowledge for Requirements Engineering
tl;dr
The use of tacit knowledge is a common feature in everyday communication. Expand
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A Hybrid Model for Automatic Emotion Recognition in Suicide Notes
We describe the Open University team's submission to the 2011 i2b2/VA/Cincinnati Medical Natural Language Processing Challenge, Track 2 Shared Task for sentiment analysis in suicide notes. ThisExpand
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  • Open Access
Disambiguating coordinations using word distribution information
In this paper we present some heuristics for resolving coordination ambiguities. This type of ambiguity is one of the most pervasive and challenging. We test the hypothesis that the most likelyExpand
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  • Open Access
Search Personalization with Embeddings
tl;dr
We propose a new embedding approach to learning user profiles, where users are embedded on a topical interest space. Expand
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  • Open Access