Articles

A number of previous experiments on the role of lexical ambiguity, in Information Retrieval are re- produced on the'IR-Semcor test collection (derived from Semcor), where both queries and documents are hand-tagged ;with phrases, Part-Of-Speech and WordNet 1.5 senses. Our results indicate that a) Word Sense Disambigua- tion can be more …...

Three state-of-the-art statistical parsers are com- bined to produce more accurate parses, as well as new bounds on achievable Treebank parsing accu- racy. Two general approaches are presented and two combination techniques are described for each ap- proach. Both parametric and non-parametric mod- els are explored, i The resulting parsers …...

A SNoW based learning approach to shallow pars- ing tasks is presented and studied experimentally. The approach learns to identify syntactic patterns by combining simple predictors to produce a coherent inference. Two instantiations of this approach are studied and experimental results for Noun-Phrases (NP) and Subject-Verb (SV) phrases that compare …...

The paper presents a new approach to identi- fying discourse relations, which makes use of a particular sampling method called committee- based sampling (CBS). In the committee-based sampling, multiple learning models are gener- ated to measure the utility of an input example in classification; if it is judged as not …...

In intonational phonology and speech syn- thesis research, it has been suggested that the relative informativeness of a word can be used to predict pitch prominence. The more information conveyed by a word, the more likely it will be accented. But there are oth- ers who express doubts about such …...

Over the years, many proposals have been made to incorporate assorted types of feature in language models. However, discrepancies between training sets, evaluation criteria, algorithms, and hardware environments make it difficult to compare the models objectively. In this paper, we take an information theoretic approach to select feature types in …...

Language models for speech recognition con- centrate solely on recognizing the words that were spoken. In this paper, we advocate re- defining the speech recognition problem so that its goal is to find both the best sequence of words and their POS tags, and thus incorpo- rate POS tagging. To …...

We present a parsing system built from a hand- written lexicon ~ and grammar, and trained on a selection of the Brown Corpus. On the sen- tences it can parse, the parser performs as well as purely corpus-based parsers. Its advantage lies in the fact that its syntactic analyses read- …...

In this paper, a hybrid disambiguation method for the prepositional phrase (PP) attachment and interpretation problem is presented. 1 The data needed, semantic PP interpretation rules and an annotated corpus, is described first. Then the three major steps of the disambigua- tion method are: explained. Cross-validated evaluation results', for German …...

This paper discusses the use of unlabeled examples for the problem of named entity classification. A large number of rules is needed for coverage of the domain, suggesting that a fairly large number of la- beled examples should be required to train a classi- fier. However, we show that the …...

Identifying and classifying personal, geographic, in- stitutional or other names in a text is an impor- tant task for numerous applications. This paper de- scribes and evaluates a language-independent boot- strapping algorithm based on iterative learning and re-estimation of contextual and mOrphological pat- terns captured in hierarchically smoothed trie mod- …...

This paper introduces a new, unsupervised algo- rithm for noun phrase coreference resolution. It dif- fers from existing methods in that it views corer- erence resolution as a clustering task. In an eval- uation on the MUC-6 coreference resolution cor- pus, the algorithm achieves an F-measure of 53.6%~ placing it …...

This paper describes a statistical methodology ibr automatically retrieving collocations from POS tagged Korean text using interrupted bi- grams. The free order of Korean makes it hard to identify collocations. We devised four statis- tics, 'frequency', 'randomness', 'condensation', and 'correlation' .to account for the more flexible word order properties of …...

In this work, we use a large text corpus to order nouns by their level of specificity. This semantic information can for most nouns be determined with over 80% accuracy using simple statistics from a text corpus with- out using any additional sources of seman- tic knowledge. This kind of …...

Experiments are presented which measure the perplexity reduction derived from incor- porating into the predictive model utilised in a standard tag-n-gram part-of-speech tagger, contextual information from previous sentences of a document. The tagset employed is the roughly-3000-tag ATR General English Tagset, whose tags are both syntactic and semantic in nature. …...

Boosting is a machine learning algorithm that is not well known in computational linguistics. We ap- ply it to part-of-speech tagging and prepositional phrase attachment. Performance is very encourag- ing. We also show how to improve data quality by using boosting to identify annotation errors. 1...

This paper proposes a Japanese/English cross- language information retrieval (CLIR) system targeting technical documents. Our system first translates a given query containing tech- nical terms into the target language, and then retrieves documents relevant to the translated query. The translation of technical terms is still problematic in that technical terms …...

This article describes the current state of syntactic analysis of Estonian using Constraint Grammar. Constraint Gram- mar framework divides parsing into two different modules: morphological disam- biguation and determination of syntac- tic functions. This article focuses on the last module in detail. If the morphologi- cal disambiguator achieves the precision …...

In this work, we present an experimental analysis of a Dialogue System for the au- tomatization of simple telephone services. Starting from the evaluation of a preliminar version of the system we 1 conclude the ne- cessity to desing a robust and flexible system suitable to have to have different …...

This paper proposes a novel, corpus- based, method for producing mappings between lexical resources. Results from a preliminary experiment using part of speech tags suggests this is a promising area for future research. 1...