This article presents two case studies to explore whether and how web corpora can be used to automatically acquire lexical-semantic knowledge from distributional information. For this purpose, we compare three German web corpora and a traditional newspaper corpus on modelling two types of semantic relatedness: (1) Assuming that free word associations are semantically related to their stimuli, w...

Reasoning by analogy is essential to provide new conclusions helpful to solve a problem. Here we present the definition of a new operator aimed at reasoning by analogy. The proposed reasoner relies on the Roles Mapping Engine. It finds analogous roles encoded in descriptions that use domain-specific terminology, overcoming syntactical constraints that limit the relations to have the same name. ...

Thread disentanglement is the task of separating out conversations whose thread structure is implicit, distorted, or lost. In this paper, we perform email thread disentanglement through pairwise classification, using text similarity measures on non-quoted texts in emails. We show that i) content text similarity metrics outperform style and structure text similarity metrics in both a class-balan...

Computing the similarity between data elements is a basic functionality in flexible query answering systems. In the case of complex data definitions, for instance in terms of an ontology, computing the similarity between data elements becomes a non-trivial problem. In this paper, we propose a similarity measure for data described in terms of the DL-lite ontology language. In this measure, we ta...

In this paper, we attempt to tackle the MediaEval 2012 Search and Hyperlinking challenge, which focuses on video segment retrieval from a large dataset, based on short natural language queries, as well as linking the resulting segments to related ones. Our approach makes use of three semantic similarity metrics, merged by applying late fusion.

85 ABSTRACT: Semantic Similarity relates to computing the similarity between different ontological concepts .Various categories of semantic similarity measures have been proposed to determine how similar are they between any two concepts within ontology. Information Content (IC) measure is one such among the category of measures. We analyze different methods of calculating the IC value for any ...

In this paper, we study the problem of summarizing email conversations. We first build a sentence quotation graph that captures the conversation structure among emails. We adopt three cohesion measures: clue words, semantic similarity and cosine similarity as the weight of the edges. Second, we use two graph-based summarization approaches, Generalized ClueWordSummarizer and PageRank, to extract...

Similarity is the key notion underlying many contemporary theories about the representation of meaning through words or concepts. However, these representations are strongly colored by the kind of information captured by various semantic measures. In this paper we present a systematic comparison of human similarity judgments and calculated similarity coefficients from different sources of seman...

In Natural Language Processing and Text mining related works, one of the important aspects is measuring the sentence similarity. When measuring the similarity between sentences there are three major branches which can be followed. One procedure is measuring the similarity based on the semantic structure of sentences while the other procedures are based on syntactic similarity measure and hybrid...

Vector-based models of word meaning have become increasingly popular in cognitive science. The appeal of these models lies in their ability to represent meaning simply by using distributional information under the assumption that words occurring within similar contexts are semantically similar. Despite their widespread use, vector-based models are typically directed at representing words in iso...