Articles

We present an asymmetric approach to a run- time combination of two parsers where one component serves as a predictor to the other one. Predictions are integrated by means of weighted constraints and therefore are subject to preferential decisions. Previously, the same architecture has been successfully used with predictors providing …...

This paper proposes a new task of cross-document event extraction and tracking and its evaluation metrics. We identify important person entities which are frequently involved in events as ‘centroid entities’. Then we link the events involving the same centroid entity along a time line. We also present a system performing …...

We present a study of the impact of morpho- logical and syntactic ambiguity in the process of grammatical error detection. We will present three different systems that have been devised with the objective of detecting grammatical er- rors in Basque and will examine the influence of ambiguity in their results. …...

This paper introduces Stochastic Definite Clause Grammars, a stochastic variant of the well- known Definite Clause Grammars. The grammar formalism supports parameter learning from an- notated or unannotated corpora and provides a mechanism for parse selection by means of sta- tistical inference. Unlike probabilistic context- free grammars, it is a …...

Even leaving aside concerns of cognitive plausibil- ity, incremental parsing is appealing for applications such as speech recognition and machine translation be- cause it could allow the incorporation of syntactic fea- tures into the decoding process without blowing up the search space. Nevertheless, incremental parsing is of- ten associated with …...

This paper proposes two techniques for fast sequential labeling such as part-of-speech (POS) tagging and text chunking. The first technique is a boosting-based al- gorithm that learns rules represented by combination of features. To avoid time-consuming evaluation of combination, we divide features into not used ones and used ones for …...

In this paper, we explore the task of automati- cally identifying educational materials, by clas- sifying documents with respect to their educa- tive value. Through experiments carried out on a data set of manually annotated documents, we show that the generally accepted notion of a learning object’s “educativeness” is indeed …...

A model of episodic memory is derived to propose algorithms of text categorization with semantic space models. Performances of two algorithms named Target vector and Sub-target vector are contrasted using textual material of the text-mining context ‘DEFT09’. The experience reported here have been realized on the english corpus which is …...

We consider the problem of query-focused multi- document summarization, where a summary containing the information most relevant to a user’s information need is produced from a set of topic-related documents. We propose a new method based on probabilistic latent semantic analysis, which allows us to represent sentences and queries as …...

The paper presents a feature-rich approach to the automatic recognition and categorization of named entities (persons, organizations, loca- tions, and miscellaneous) in news text for Bulgar- ian. We combine well-established features used for other languages with language-specific lexi- cal, syntactic and morphological information. In particular, we make use of the …...

An important question in the evaluation of Natu- ral Language Generation systems concerns the re- lationship between textual characteristics and task performance. If the results of task-based evalua- tion can be correlated to properties of the text, there are better prospects for improving the system. The present paper investigates this …...

When creating dictionaries for use in for example cross- language search engines, one often uses a word alignment system that takes parallel or comparable text pairs as input and produces a word list. Multilingual web sites may contain parallel texts but these can be difficult to detect. In this article …...

Retrieving answer containing passages is a chal- lenging task in Question Answering. In this pa- per we describe a novel query expansion method which aims to rank the answer containing pas- sages better. It uses content and structured in- formation (link structure and category informa- tion) of Wikipedia to generate …...

Document Retrieval assumes that a document is independent of its relevance, and non-relevance. Previous works showed that the same assump- tion is being considered for passage retrieval in the context of Question Answering. In this pa- per, we relax this assumption and describe a method for estimating the prior of …...

We present a method for grouping the synonyms of a lemma according to its dictionary senses. The senses are defined by a large machine read- able dictionary for French, the TLFi (Tr´esor de la langue fran¸caise informatis´e) and the syn- onyms are given by 5 synonym dictionaries (also for French). …...

Full-Parsing systems able to analyze sentences robustly and completely at an appropriate accuracy can be useful in many computer applications like information retrieval and machine translation systems. Increasing the domain of locality by using tree-adjoining-grammars (TAG) caused some researchers to use it as a modeling formalism in their language application. …...

Annotation of training data for machine learning is often a laborious and costly process. In Active Learning (AL), crite- ria are investigated that allow ordering the unannotated data in such a way that those instances potentially contributing most to the speed of learning can be annotated first. Within this context …...

Many NLP systems make use of various lex- icons and dictionaries. However, unknown words are a major problem for such resources when applied to real-life data. We propose a method that combines nite state techniques and web queries to deliver possible analyses for a given unknown word and to generate …...

Topic segmentation was addressed by a large amount of work from which it is not easy to draw conclusions, especially about the need for knowl- edge. In this article, we propose to combine in the same framework two methods for improving the results of a topic segmenter based on lexical …...

We explore the adaptation of English resources and techniques for text sentiment analysis to a new language, Spanish. Our main focus is the modification of an existing English semantic orientation calculator and the building of dictionaries; however we also compare alternate approaches, including machine translation and Support Vector Machine classification. …...