This paper reports on work in progress to improve shallow parsing for Basque. The practical goal of our work is to enrich the information of the shallow parser with linguistic information for analyzing sequences containing an N that instantiates a kind of quantification of the other nominal constituent, by means of some different syntactical structures.

Chunk parsing is conceptually appealing but its performance has not been satisfactory for practical use. In this paper we show that chunk parsing can perform significantly better than previously reported by using a simple slidingwindow method and maximum entropy classifiers for phrase recognition in each level of chunking. Experimental results with the Penn Treebank corpus show that our chunk p...

One way to construct semantic representations in a robust manner is to enhance shallow language processors with semantic components. Here, we provide a model theory for a semantic formalism that is designed for this, namely Robust Minimal Recursion Semantics (RMRS). We show that RMRS supports a notion of entailment that allows it to form the basis for comparing the semantic output of different ...

This work presents a type of parser that takes the process of chunking to the stage of producing full parse trees. This type of parser, denoted Thin Parsers (TP) in this work has the characteristics of: following a given grammar, creating full parse trees, producing only a limited number of full parse trees, parsing in linear time of sentence length. Performance standards on the Penn Tree Bank ...

This paper describes the tests made on chunking methods used for plagiarism detection. The result of the tests makes it possible to decide on the best fitting chunking method for a given application. For example, overlapping word chunking is good for a grammar analyzer or for small databases, sentence chunking suits best for finding quoted texts, hashed breakpoint chunking is the fastest method...

This article describes the application of lemmatization and shallow parsing as a linguistically-based alternative to stemming in Text Retrieval, with the aim of managing linguistic variation at both word level and phrase level. Several alternatives for selecting the index terms among the syntactic dependencies detected by the parser are evaluated. Though this article focuses on Spanish, this ap...

It is well established that certain structural buckling problems are extremely sensitive to small changes in configuration: geometric imperfections, load application, symmetry, boundary conditions, etc. This paper considers the behavior of a very shallow arch under lateral point loading, and specifically under the influence of changes in the thermal environment. In some ways the system under st...

We describe a system which uses lexical shallow parsing to find adjectival “appraisal groups” in sentences, which convey a positive or negative appraisal of an item. We used a simple heuristic to detect opinion holders, determining whether a person was being quoted in a specific sentence or not, and if so, who. We also explored the the use of unsupervised learners and voting to increase our cov...

Our research is motivated by the observation that NLP systems frequently mislabel passive voice verb phrases as being in the active voice when there is no auxiliary verb (e.g., “The man arrested had a long record”). These errors directly impact thematic role recognition and NLP applications that depend on it. We present a learned classifier that can accurately identify reduced passive voice con...