This paper proposes a new indicator of text structure, called the lexical cohesion pro le (LCP), which locates segment boundaries in a text. A text segment is a coherent scene; the words in a segment are linked together via lexical cohesion relations. LCP records mutual similarity of words in a sequence of text. The similarity of words, which represents their cohesiveness, is computed using a s...

We present Biased LexRank, a method for semi-supervised passage retrieval in the context of question answering. We represent a text as a graph of passages linked based on their pairwise lexical similarity. We use traditional passage retrieval techniques to identify passages that are likely to be relevant to a user’s natural language question. We then perform a random walk on the lexical similar...

We report two lexical decision experiments analyzing Russian prefixed and unprefixed verbs and deverbal nouns. These experiments show that the summed frequency of direct derivatives influences access time to the base word. We demonstrate that this effect cannot be explained by semantic or phonological similarity and is not due to the fact that derived words undergo morphological decomposition d...

A range of approaches to the representation of lexical semantics have been explored within Computational Linguistics. Two of the most popular are distributional and knowledgebased models. This paper proposes hybrid models of lexical semantics that combine the advantages of these two approaches. Our models provide robust representations of synonymous words derived from WordNet. We also make use ...

This paper presents a knowledge-based method for measuring the semanticsimilarity of texts. While there is a large body of previous work focused on finding the semantic similarity of concepts and words, the application of these wordoriented methods to text similarity has not been yet explored. In this paper, we introduce a method that combines wordto-word similarity metrics into a text-totext m...

Numerous theories have been proposed regarding the brain's organization and retrieval of lexical information. Neurophysiological dissociations in processing different word classes, particularly nouns and verbs, have been extensively documented, supporting the contribution of grammatical class to lexical organization. However, the contribution of semantic properties to these processing differenc...

A connectionist architecture comprised of cell assemblies was developed and applied to the problem of speech perception at the phonemic and lexical levels. The problem addressed involved a disagreement amongst theorists over the possible sources of lexical priming effects. Speech was encoded in the model as the temporal activity of phoneme units that are connected to higher-level word assemblie...

We propose a robust answer reranking model for non-factoid questions that integrates lexical semantics with discourse information, driven by two representations of discourse: a shallow representation centered around discourse markers, and a deep one based on Rhetorical Structure Theory. We evaluate the proposed model on two corpora from different genres and domains: one from Yahoo! Answers and ...

This paper presents a wordlist-based lexical richness approach to testing distributional hypothesis for genre analysis in translation studies. In recent years, there has been continuing interest in patent translation. However, there are only a few lay their interests on comparison between native and non-native writing. The proposed approach to terms distrubution of technical words contained in ...

Objective: To align pharmacologic classes in ATC and MeSH with lexical and instance-based techniques. Methods: Lexical alignment: we map the names of ATC classes to MeSH through the UMLS, leveraging normalization and additional synonymy. Instance-based alignment: we associate ATC and MeSH classes through the drugs they share, using the Jaccard coefficient to measure class-class similarity. We u...