In this paper we present BabelDomains, a unified resource which provides lexical items with information about domains of knowledge. We propose an automatic method that uses knowledge from various lexical resources, exploiting both distributional and graph-based clues, to accurately propagate domain information. We evaluate our methodology intrinsically on two lexical resources (WordNet and Babe...

This paper proposes an algorithm for causality inference based on a set of lexical knowledge bases that contain information about such items as event role, is-a hierarchy, relevant relation, antonymy, and other features. These lexical knowledge bases have mainly made use of lexical features and symbols in HowNet. Several types of questions are experimented to test the effectiveness of the algor...

the present study aims at investigating the effect of different levels of lexical collocational density on efl learners’ reading comprehension. eighty sophomore students with different levels of proficiency studying at  zand institute of higher education in shiraz, iran were chosen from among eighty five learners based on their score distribution on a reduced toefl test constructed by education...

Humans are often able to draw plausible conclusions from incomplete information based on background knowledge about the world. As a substantial part of this background knowledge is of a lexical nature, a crucial challenge in automating plausible reasoning consists in learning how different words are semantically related. This paper argues that most of the lexical relations that we need for plau...

In this paper, we explore the interaction between lexical semantics and pragmatics. We argue that linguistic processing is informationally encapsulated and utilises relatively simple ‘taxonomic’ lexical semantic knowledge. On this basis, defeasible lexical generalisations deliver defeasible parts of logical form. In contrast, pragmatic inference is openended and involves arbitrary real-world kn...

A verb is the organizational core of a sentence. Understanding the meaning of the verb is, therefore, a key to understanding the meaning of the sentence. One of the ways we can formulate natural language understanding is by treating it as a task of mapping natural language text to its meaning representation: entities and relations anchored to the world. Since verbs express relations over their ...

In order to classify resources, digital libraries have traditionally used different types of lexical ontologies, which describe the terminology used in an area of knowledge. This paper analyzes how lexical ontologies covering different areas of knowledge can be merged to generate an enriched urban terminology. This work proposes a method to combine these different perspectives into a single net...

In this paper, we propose a lexical selection method with three steps: sense disambiguation of source words, sense-to-word mapping, and selection of the most appropriate target language lexical item. The knowledge for each step is extracted from a machine readable dictionary and a target language monolingual corpus. By splitting the process of lexical selection into three steps and extracting t...

& Lexical proficiency, as a cognitive construct, is poorly understood. However, lexical proficiency is an important element of language proficiency and fluency, especially for second language (L2) learners. For example, lexical errors are a common cause of L2 miscommunication (Ellis, 1995). Lexical proficiency is also an important attribute of L2 academic achievement (Daller, van Hout, & Treffe...