This paper presents an approach combining lexico-semantic resources and distributed representations of words applied to the evaluation in machine translation (MT). This study is made through the enrichment of a well-known MT evaluation metric: METEOR. This metric enables an approximate match (synonymy or morphological similarity) between an automatic and a reference translation. Our experiments...

Lexico-semantic knowledge of our native language provides an initial foundation for second language learning. In this paper, we investigate whether and to what extent the lexico-semantic models of the native language (L1) are transferred to the second language (L2). Specifically, we focus on the problem of lexical choice and investigate it in the context of three typologically diverse languages...

A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised bootstrapping algorithm that uses a single seed and a recursive lexico-syntactic pattern to learn the arguments and the supertypes of a diverse set of semantic relations from the Web. We evaluate the performance of our algo...

Large number of researchers consider essay as a tool to judge learning outcomes and intellectual capabilities and to assess the organized and integrated thoughts. Due to increase in the number of universities students and distance and ubiquitous e-learning approaches, the intention of using Computer-based Assessment Systems has rise rapidly in a decade. Manual grading of students' essays requir...

We describe a formal framework for interpretation of words and compounds in a discourse context which integrates a symbolic lexicon/grammar, word-sense probabilities, and a pragmatic component. The approach is motivated by the need to handle productive word use. In this paper, we concentrate on compound nominals. We discuss the inadequacies of approaches which consider compound interpretation a...

We propose a method of acquiring attribute words for a wide range of objects from Japanese Web documents. The method is a simple unsupervised method that utilizes the statistics of words, lexico-syntactic patterns, and HTML tags. To evaluate the attribute words, we also establish criteria and a procedure based on question-answerability about the candidate word.

In this article we will outline two different vocabularies, both extensions of the lemon model, for representing diachronic lexicosemantic data on the Semantic Web. This is especially useful for representing the evolution of scientific terminologies where many terms are polysemous and or imported from other languages. The first vocabulary, polyLemon, allows for the representation of data about ...

Lexico-semantic networks such as WordNet have been criticized about the nature of the senses they distinguish as well as on the way they define these senses. In this article, we present a possible solution to overcome these limits by defining the sense of words from the way they are used. More precisely, we propose to differentiate the senses of a word from a network of lexical cooccurrences bu...

"rhis paperI presents a computational method for the recognition of the cohesive and coherence structures of texts. A large lexieal knowledge base built oil top of WordNet provides with the lexico-senmntic information that needs to be mined. A path-finding algorittam returns tim cot~esive structure of a text with results that outperform previous api~roaches. The Icxical paths contained in the c...

In this paper the problem is discussed about the text structure determination and content analysis by lexical parall~lism, o r the repetition of lexical items. Intersentential relations are determined through the identical, partly identical or lexico-semantic repetition in Japanese scientific texts. Lexical parallelism ratio and lexical parallelism indicator distance are obtained on computer an...