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Adverse Drug Reaction Classification With Deep Neural Networks
Two new neural network models are proposed by concatenating convolutional neural networks with recurrent neural networks, and Convolutional Neural Network with Attention (CNNA), which allows the visualisation of attention weights of words when making classification decisions and hence is more appropriate for the extraction of word subsequences describing ADRs. Expand
Making Tacit Requirements Explicit
A number of techniques are described that offer analysts the means to reason about the effect of tacit knowledge and improve the quality of requirements and their management. Expand
A Comparative Evaluation of Algorithms for Discovering Translational Patterns in Baroque Keyboard Works
It is demonstrated that in all but the most carefully selected excerpts of music, the two existing algorithms can be affected by what is termed the 'problem of isolated membership'. Expand
Analysing anaphoric ambiguity in natural language requirements
An automated approach to identify potentially nocuous ambiguity, which occurs when text is interpreted differently by different readers, focuses on anaphoric ambiguity, who occurs when readers may disagree on how pronouns should be interpreted. Expand
Temporal Latent Topic User Profiles for Search Personalisation
The experimental results demonstrate that the temporal profiles built using Latent Dirichlet Allocation can significantly improve the ranking quality and show a promising effect of temporal features in correlation with click entropy and query position in a search session. Expand
A Hybrid Model for Automatic Emotion Recognition in Suicide Notes
A hybrid model is proposed that incorporates a number of natural language processing techniques, including lexicon-based keyword spotting, CRF- based emotion cue identification, and machine learning-based emotion classification, that demonstrates that effective emotion recognition by an automated system is possible when a large annotated corpus is available. Expand
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
Automatic detection of nocuous coordination ambiguities in natural language requirements
An automated approach for characterizing and detecting so-called nocuous ambiguities, which carry a high risk of misunderstanding among different readers, and implemented a prototype tool for Nocuous Ambiguity Identification (NAI). Expand
Unpacking Tacit Knowledge for Requirements Engineering
This chapter reviews the diverse views of tacit knowledge discussed in the literature from a wide range of disci-plines, reflect on their commonalities and differences, and proposes a conceptual framework for requirements engineering that characterizes the different facets of tacitknowledge that distinguish the different views. Expand
Rethinking the Agreement in Human Evaluation Tasks
This paper examines how annotators diverge in language annotation tasks due to a range of ineliminable factors and suggests a new approach to the use of the agreement metrics in natural language generation evaluation tasks. Expand