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Efficient Defeasible Reasoning Systems
TLDR
It is believed that defeasible logic, with its efficiency and simplicity, is a good candidate to be used as a modeling language for practical applications, including modelling of regulations and business rules. Expand
Essay Assessment with Latent Semantic Analysis
TLDR
This article examines the application of LSA to automated essay scoring, and compares LSA methods to earlier statistical methods for assessing essay quality, and critically review contemporary essay-scoring systems built on LSA. Expand
Cross-topic Argument Mining from Heterogeneous Sources
TLDR
This paper proposes a new sentential annotation scheme that is reliably applicable by crowd workers to arbitrary Web texts and shows that integrating topic information into bidirectional long short-term memory networks outperforms vanilla BiLSTMs in F1 in two- and three-label cross-topic settings. Expand
SemEval-2017 Task 7: Detection and Interpretation of English Puns
TLDR
The first competitive evaluation for the automatic detection, location, and interpretation of puns is described, which describes the motivation for these tasks, the evaluation methods, and the manually annotated data set. Expand
Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks
TLDR
A new sentential annotation scheme that is reliably applicable by crowd workers to arbitrary Web texts that generalizes best to unseen topics and outperforms vanilla BiLSTM models by 6% in accuracy and 11% in F-score is proposed. Expand
Efficient defeasible reasoning systems
TLDR
It is believed that defeasible logic, with its efficiency and simplicity is a good candidate to be used as a modelling language for practical applications, including modelling of regulations and business rules. Expand
ArgumenText: Searching for Arguments in Heterogeneous Sources
TLDR
This paper presents an argument retrieval system capable of retrieving sentential arguments for any given controversial topic, and finds that its system covers 89% of arguments found in expert-curated lists of arguments from an online debate portal, and also identifies additional valid arguments. Expand
Using Distributional Similarity for Lexical Expansion in Knowledge-based Word Sense Disambiguation
TLDR
A distributional thesaurus is used, computed from a large parsed corpus, for lexical expansion of context and sense information and it is shown that distributional information significantly improves disambiguation results across several data sets. Expand
Automatic disambiguation of English puns
TLDR
This paper describes how traditional, language-agnostic WSD approaches can be adapted to "disambiguate" puns, or rather to identify their double meanings and evaluates several such approaches on a manually sense-annotated corpus of English puns. Expand
Towards the automatic detection and identification of English puns
Lexical polysemy, a fundamental characteristic of all human languages, has long been regarded as a major challenge to machine translation, human–computer interaction, and other applications ofExpand
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