In this paper we describe that the hierarchical tag context tree (HTCT) approach improves the accuracy of semantic role labeling on Japanese text. In Japanese language there are functional multiword expressions such as no-tame-ni and yotte that have potential to designate semantic relations between a predicate and its arguments. Since these expressions come to the end part of each argument, the...

This paper argues that syllables may be divided by feet, based on an analysis of Banawá, an Arawan language of the Brazilian Amazon. This result is important for phonological theory because it improves our understanding of the variable roles of syllables and moras in the phonological systems of individual languages and because it underscores the urgent need for more fieldwork on the prosody of ...

Intelligent robots require a semantic map of the surroundings for applications such as navigation and object localization. In order to generate the semantic map, previous works mainly focus on the semantic segmentations on the single RGB-D images and fuse the results by a simple majority vote. However, single image based semantic segmentation algorithms are prone to producing inconsistent segme...

Performance of a musical work potentially provides a rich source of multimedia material for future investigation, both for musicologists’ study of reception and perception, and in improvement of computational methods applied to its analysis. This is particularly true of music theatre, where a traditional recording cannot sufficiently capture the ephemeral phenomena unique to each staging. In th...

In this paper we address the problem of migrating instances between heterogeneous overlapping ontologies. The instance migration problem arises when one wants to reclassify a set of instances of a source ontology into a semantically related target ontology. Our approach exploits mappings between ontologies, which are used to reconcile both conceptual and individual level heterogeneity, and furt...

Context is a determining factor in language, and plays a decisive role in polysemic words. Several psycholinguistically-motivated algorithms have been proposed to emulate human management of context, under the assumption that the value of a word is evanescent and takes on meaning only in interaction with other structures. The predication algorithm (Kintsch, 2001), for example, uses a vector rep...

We introduce EXTASEM!, a novel approach for the automatic learning of lexical taxonomies from domain terminologies. First, we exploit a very large semantic network to collect thousands of in-domain textual definitions. Second, we extract (hyponym, hypernym) pairs from each definition with a CRF-based algorithm trained on manually-validated data. Finally, we introduce a graph induction procedure...

Although much effort has been put into speech understanding systems there still exists a rather wide gap between acoustic recognition and linguistic interpretation. We propose a formalism for an extremely close interaction of acoustic recognition and higher level analysis. Instead of a strict horizontal interface at the level of hypothesized word sequences or lattices, a vertical interface to t...

This paper explores the application of the semantic field theory in English vocabulary learning. It first investigates classifications of various semantic relations, including hyponym, antonymy, synonymy, etc. Then it illustrates with abundant examples how to employ each sense relation in learning vocabulary with the application of the semantic field theory. The study is of non-neglectable sign...