This paper presents an evaluation of four shallow parsers The interest of each of these parsers led us to imagine a parameterized multiplexer for syntactic information based on the principle of merging the common boundaries of the outputs given by each of these programs. The question of evaluating the parsers as well as the multiplexer came in the foreground with the problem of not owning refer...

This paper presents a procedure to automaticafly learn German prepositional subcategofization frames fzom text corpora. It is based on shallow parsing techniques employed to identify high-accuracy cues for prepositional frames, the EM algorithm to solve the PP attachment problem implicit in the task, and a method to rank the evidence for subcategorization provided by the collected data.

In this paper, we describe a sourceside reordering method based on syntactic chunks for phrase-based statistical machine translation. First, we shallow parse the source language sentences. Then, reordering rules are automatically learned from source-side chunks and word alignments. During translation, the rules are used to generate a reordering lattice for each sentence. Experimental results ar...

This article proposes a method of Semantic Role Labelling for languages with no reliable deep syntactic parser and with limited corpora annotated with semantic roles. Reasonable results may be achieved with the help of shallow parsing, provided that features used for training such shallow parsers include both lexical semantic information (here: hypernymy) and syntactic information.

Indefinite noun phrases in certain contexts are unable to support anaphoric coreference to an individual entity, and therefore should be ignored when searching for coreferent antecedents of anaphoric pronouns. However, many algorithms for anaphora resolution utilize noun phrase chunking or shallow parsing, and therefore do not make the needed distinctions to avoid this type of spurious antecede...

kids.frontiersin.org In our daily lives, we learn new things all the time. Unfortunately, it is usually difficult for us to remember everything that we learn. To increase our ability to remember, either for a few seconds or for many years, we can think in a way that ties together several pieces of information, so that they make fewer pieces of information. There are two ways the brain does this...

bearing capacity prediction of shallow foundation is one of the most important problems in geotechnical engineering practices, with a wide variety range of methods which have been introduced to forecast it accurately. recently, soft computing methods such as artificial neural networks (anns) and support vector machines (svms) have been used for prediction of the ultimate bearing capacity of sha...

Atoms with a large scattering length have universal low-energy properties that do not depend on the details of their structure or their interactions at short distances. In the 2-atom sector, the universal properties are familiar and depend only on the scattering length. In the 3-atom sector for identical bosons, the universal properties include the existence of a sequence of shallow triatomic m...