Articles

Multimodal interfaces require effective parsing and understanding of utterances whose content is dis- tributed across multiple input modes. Johnston 1998 presents an approach in which strategies for mul- timodal integration are stated declaratively using a unification-based grammar that is used by a multi- dimensional chart parser to compose inputs. This …...

In order to realize their full potential, multimodal interfaces need to support not just input from multiple modes, but single commands optimally distributed across the available input modes. A multimodal language processing architecture is needed to integrate semantic content from the different modes. Johnston 1998a proposes a modular approach to …...

We describe a segmentation component that utilizes minimal syntactic knowledge to produce a lattice of word candidates for a broad coverage Japanese NL parser. The segmenter is a finite state morphological analyzer and text normalizer designed to handle the orthographic variations characteristic of written Japanese, including alternate spellings, script variation, …...

This paper proposes a new unsupervised learning method for obtaining English part-of- speech(POS) disambiguation rules which would improve the accuracy of a POS tagger. This method has been implemented in the experimental system APRAS (Automatic POS Rule Acquisition System), which extracts POS disambiguation rules from plain text corpora by utilizing …...

Pronominalization has been related to the idea of a local focus – a set of discourse entities in the speaker’s centre of attention, for example in Gundel et al. (1993)’s givenness hierarchy or in centering theory. Both accounts say that the determination of the focus depends on syntac- tic as …...

Subjectivity is a pragmatic, sentence-level feature that has important implications for text processing applica- tions such as information extraction and information re- trieval. We study the effects of dynamic adjectives, se- mantically oriented adjectives, and gradable adjectives on a simple subjectivity classifier, and establish that they are strong predictors of …...

Typical approaches to XML authoring view a XML doc- ument as a mixture of structure (the tags) and surface (text between the tags). We advocate a radical approach where the surface disappears from the XML document altogether to be handled exclusively by rendering mech- anisms. This move is based on …...

We compare the potential of two classes of linear and hi- erarchical models of discourse to determine co-reference links and resolve anaphors. The comparison uses a cor- pus of thirty texts, which were manually annotated for co-reference and discourse structure. 1...

The paper describes a similarity-based model to present the morphological rules for Chinese com- pound nouns. This representation model serves functions of 1) as the morphological rules of the compounds, 2) as a mean to evaluate the proper- ness of a compound construction, and 3) as a mean to disambiguate …...

Table is a very common presentation scheme, but few papers touch on table extraction in text data mining. This paper focuses on mining tables from large-scale HTML texts. Table filtering, recognition, interpretation, and presentation are discussed. Heuristic rules and cell similarities are employed to identify tables. The F-measure of table …...

Huge multilingual news articles are reported and disseminated on the Internet. How to extract the key information and save the reading time is a crucial issue. This paper proposes architecture of multilingual news summarizer, including monolingual and multilingual clustering, similarity measure among meaningful units, and presentation of summarization results. Translation …...

Repetition is very common. Adaptive language models, which allow probabilities to change or adapt after seeing just a few words of a text, were introduced in speech recognition to account for text cohesion. Suppose a document mentions Noriega once. What is the chance that he will be mentioned again? If …...

This paper presents a robust client/server implemen- tation of a word sense disambiguator for English. This system associates a word with its meaning in a given context using dictionaries as tagged corpora in order to extract semantic disambiguation rules. Semantic rules are used as input of a semantic appli- cation …...

Binding constraints have resisted to be fully integrated into the course of grammatical processing despite its practical relevance and cross-linguistic generality. The ultimate root for this is to be found in the exponential "overgenerate & filter" procedure of the mainstream rationale for their satisfaction. In this paper we design an …...

In this paper, we present a solution to the prob- lem of generating Japanese numeral classifiers us- ing semantic classes from an ontology. Most nouns must take a numeral classifier when they are quan- tified in languages such as Chinese, Japanese, Ko- rean, Malay and Thai. In order to select …...

We argue that in general, the analysis of lexical co- hesion factors in a document can drive a summarizer, as well as enable other content characterization tasks. More narrowly, this paper focuses on how one particular cohesion factor—simple lexical repetition—can enhance an existing sentence extraction summarizer, by enabling strategies for …...

Common wisdom has it that the bias of stochastic grammars in favor of shorter derivations of a sentence is harmful and should be redressed. We show that the common wisdom is wrong for stochastic grammars that use elementary trees instead of context-free rules, such as Stochastic Tree-Substitution Grammars used by …...

While language-independent sentence align- ment programs typically achieve a recall in the 90 percent range, the same cannot be said about word alignment systems, where normal recall figures tend to fall somewhere between 20 and 40 percent, in the language-independent case. As words (and phrases) for various reasons are more …...

Sharing portions of grammars across languages greatly re- duces the costs of multilingual grammar engineering. Related languages share a much wider range of linguistic information than typically assumed in standard multilingual grammar architectures. Taking grammatical relatedness seriously, we are particularly interested in designing linguistically motivated grammatical resources for Slavic languages …...

This paper presents an empirical assessment of the LFG- DOP model introduced by Bod & Kaplan (1998). The parser we describe uses fragments from LFG-annotated sentences to parse new sentences and Monte Carlo techniques to compute the most probable parse. While our main goal is to test Bod & Kaplan's …...