This paper presents a method for learning a semantic parser from ambiguous supervision. Training data consists of natural language sentences annotated with multiple potential meaning representations, only one of which is correct. Such ambiguous supervision models the type of supervision that can be more naturally available to language-learning systems. Given such weak supervision, our approach ...

Our study takes place in an European Project LIBRARIES named BAMBI (Better Access to Manuscripts and Browsing of Image). This paper presents a method for multilingual access information. Our approach uses a semantic structure in order to index a document without taking account of its language. This semantic structure is a hierarchical organisation of semantic elements. Each element contains two...

I N T R O D U C T I O N The primary purpose of this study was to determine the effect of general semantics classes on the 'meanings' of certain 'concepts' to the class members -'meaning' being defined in terms of the semantic differential . However, the patterns of response to the semantic differential proved more interesting than the responses to individual concepts . The semantic differential...

This study explores Latent Semantic Analysis as a model of coherence relations in spoken discourse. Two studies were conducted on language data from six adult learners of English observed longitudinally for one year. The studies investigated whether LSA values increase as a function of time spent learning English and if there were links between negotiations for meaning and LSA values. Results s...

In Latent Semantic Analysis (LSA) the meaning of a word is represented as a vector in a high-dimensional semantic space. Different meanings of a word or different senses of a word are not distinguished. Instead, word senses are appropriately modified as the word is used in different contexts. In N-VP sentences, the precise meaning of the verb phrase depends on the noun it is combined with. An a...

Contextualism in philosophy of language and in epistemology are two distinct but closely entangled projects. The epistemological thesis is grounded in a semantic claim concerning the context-sensitivity of the predicate “know”: we gain insight into epistemological problems by investigating our linguistic intuitions concerning knowledge attribution sentences. Our aim here is to evaluate the plau...

Semantic role labels are the representation of the grammatically relevant aspects of a sentence meaning. Capturing the nature and the number of semantic roles in a sentence is therefore fundamental to correctly describing the interface between grammar and meaning. In this paper, we compare two annotation schemes, PropBank and VerbNet, in a task-independent, general way, analysing how well they ...

It is useful to see a notation as a visualization on the top of specification core. The latter deals with semantic meaning of notational constructs while the former is about its presentation (a user interface to specification). In the paper, this general paradigm is applied to a few major constructs used in the UML class diagrams: various sorts of associations between classes, including multi-a...

Semantic ambiguity is typically measured by summing the number of senses or dictionary definitions that a word has. Such measures are somewhat subjective and may not adequately capture the full extent of variation in word meaning, particularly for polysemous words that can be used in many different ways, with subtle shifts in meaning. Here, we describe an alternative, computationally derived me...

An aspect of information security is the information’s integrity. An important aspect of integrity is that the information must retain its appropriate meaning. Semantic integrity rules specify requirements for ensuring that information maintains its meaning. It is believed that certain reoccuring themes are present in these semantic integrity rules. Pattern languages are often used to present s...