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Efficient Defeasible Reasoning Systems
TLDR
We present defeasible logic, a less-expressive but more efficient non-monotonic logic that can be used as a modeling language for practical applications, including modelling of regulations and business rules. Expand
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Essay Assessment with Latent Semantic Analysis
TLDR
Latent semantic analysis (LSA) is an automated, statistical technique for comparing the semantic similarity of words or documents. Expand
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SemEval-2017 Task 7: Detection and Interpretation of English Puns
TLDR
This paper describes the first competitive evaluation for the automatic detection, location, and interpretation of puns. Expand
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Cross-topic Argument Mining from Heterogeneous Sources
TLDR
In this paper, we propose a new sentential annotation scheme that is reliably applicable by crowd workers to arbitrary Web texts that are annotated with topic-based arguments. Expand
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Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks
TLDR
We propose a new sentential annotation scheme that is reliably applicable by crowd workers to arbitrary Web texts. Expand
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Efficient defeasible reasoning systems
TLDR
We show that defeasible logic has linear complexity, which contrasts markedly with most other non-monotonic logics and helps to explain the impressive experimental results. Expand
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Using Distributional Similarity for Lexical Expansion in Knowledge-based Word Sense Disambiguation
TLDR
We explore the contribution of distributional information for purely knowledge-based word sense disambiguation. Expand
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ArgumenText: Searching for Arguments in Heterogeneous Sources
TLDR
We present ArgumenText, which we believe is the first system for topic-relevant argument search in heterogeneous texts. Expand
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Automatic disambiguation of English puns
TLDR
Traditional approaches to word sense disambiguation (WSD) rest on the assumption that there exists a single, unambiguous communicative intention underlying every word in a document, and the task of the interpreter is to select correctly among them. Expand
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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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