This paper presents a sentence extraction method based on Concept Coupling Model, a language model for handling natural language sentence structures. Sentence extraction is performed by retrieving sentences from texts that contain the explicit answer to a user query. The sentence structure representation scheme provided by the model facilitates the retrieval operation which is basically a struc...

Abstract Every countable structure has a sentence of the infinitary logic $\mathcal {L}_{\omega _1 \omega }$ which characterizes that up to isomorphism among structures. Such is called Scott sentence, and can be thought as description structure. The least complexity for measurement describing We begin with an introduction area, short simple proofs where possible, followed by survey recent advan...

This paper examined the role of lexical processing in phrase structure building sentence production. We asked whether speakers exploit a cue as guide (i.e. cued word occurs earlier sentence) and retrieval facilitates memorised structure). In two experiments, participants recalled Dutch genitive sentences. some recall trials, they received that repeated one argument to-be-recalled sentence. furt...

We found o direct relationship between voriotion in informants’ grommoticality intuitions about pronoun coreference and variation in the same informants’ use of a clause segmentation strategy during sentence perception. It hos been proproposed that ‘c-command’, a structural principle defined in terms of constituent dominance relations, constrains within-sentence coreference between pronouns and...

We present a neural architecture for sentence representation. Sentences are represented in terms of word representations as constituents. A word representation consists of a neural assembly distributed over the brain. Sentence representation does not result from associations between neural word assemblies. Instead, word assemblies are embedded in a neural architecture, in which the structural (...

We propose to investigate the structure of French sentences with the help of a minimal algebraic technique based on the assignment of types to words. Mathematically speaking, the types are elements of the free “pregroup” (a generalization of a partially ordered group) generated by a partially ordered set of basic types. In particular, this partial order is carefully adjusted to account for the ...

In this paper, we describe the types of sentence condensation rules used in the sentence condensation of Riezler et al. 2003 in detail. We show how the distinctions made in LFG f-structures as to grammatical functions and features make it possible to state simple but accurate rules to create smaller, well-formed f-structures from which the condensed sentence can be generated.

Punjabi Text Document Clustering is done by analyzing the sentence structure of similar documents sharing same topics and grouping them into clusters. The prevalent algorithms in this field utilize the vector space model which treats the documents as a bag of words. The meaning in natural language inherently depends on the word sequences which are overlooked and ignored while clustering. The cu...

In memory-based models of human sentence processing it is assumed that the completion of a dependency between a syntactic head and its dependents is a major source of processing difficulty in non-ambiguous sentences, and that this integration cost is a function of the distance between the two elements. However, it remains open how to measure the distance between two dependent elements. While ma...

This paper proposes an efficient method of sentence retrieval based on syntactic structure. Collins proposed Tree Kernel to calculate structural similarity. However, structual retrieval based on Tree Kernel is not practicable because the size of the index table by Tree Kernel becomes impractical. We propose more efficient algorithms approximating Tree Kernel: Tree Overlapping and Subpath Set. T...