Articles

One of the key issues in spoken language trans- lation is how to deal with unrestricted expres- sions in spontaneous utterances. This research is centered on the development of a Chinese paraphraser that automatically paraphrases ut- terances prior to transfer in Chinese-Japanese spoken language translation. In this paper, a pattern-based …...

Covering ambiguity is one of the two basic types of ambiguities in Chinese word segmentation. We regard its resolution as equivalent to word sense disambiguation, and make use of the classical vector space model in information retrieval to formulate the contexts of ambiguous words. A variation form of TFIDF weighting …...

Named Entity (NE) recognition is a task in which proper nouns and numerical information are ex- tracted from documents and are classified into cat- egories such as person, organization, and date. It is a key technology of Information Extraction and Open-Domain Question Answering. First, we show that an NE recognizer …...

Extracting sentences that contain important in- formation from a document is a form of text summarization. The technique is the key to the automatic generation of summaries similar to those written by humans. To achieve such ex- traction, it is important to be able to integrate heterogeneous pieces of information. …...

An unsupervised method for word sense disam- biguation using a bilingual comparable corpus was developed. First, it extracts statistically significant pairs of related words from the corpus of each lan- guage. Then, aligning pairs of related words translingually, it calculates the correlation between the senses of a first-language polysemous word …...

In this paper we show to what degree the count- ability of English nouns is predictable from their semantics. We found that at 78% of nouns’ countability could be predicted using an ontol- ogy of 2,710 nodes. We also show how this predictability can be used to aid non-native speakers …...

This paper presents the Natural Language Processing-based linguistic analysis tool that we have developed for Japanese as a Second Language teachers. This program, Zero De- tector (ZD), aims to promote effective instruc- tion of zero anaphora, on the basis of a hy- pothesis about ideal conditions for second language acquisition, …...

There is no blank to mark word boundaries in Chinese text. As a result, identifying words is difficult, because of segmentation ambiguities and occurrences of unknown words. Conventionally unknown words were extracted by statistical methods because statistical methods are simple and efficient. However the statistical methods without using linguistic knowledge …...

A methodology is proposed for taking queries and requests expressed in natural language as input and answering them in charts through organizing that in- teraction into felicitous dialogue. Charts and graph- ics, as well as languages, are important modes of communication. This is especially true of those which are used …...

We describe a mechanism for the interpretation of arguments, which can cope with noisy conditions in terms of wording, beliefs and argument struc- ture. This is achieved through the application of the Minimum Message Length Principle to evalu- ate candidate interpretations. Our system receives as input a quasi-Natural Language argument, …...

This paper presents a framework for cluster- ing in text-based information retrieval systems. The prominent feature of the proposed method is that documents, terms, and other related el- ements of textual information are clustered si- multaneously into small overlapping clusters. In the paper, the mathematical formulation and implementation of the …...

The relative logical scope of multiple modifiers within NP is often semantically significant. This paper proposes a structurally based method for computing the relative scope of such modifiers, based on their order, type, and syntactic complexity. The algorithm is language-neutral, in that it works with minimal errors for a wide …...

This paper describes the right-to-left decoding method, which translates an input string by gen- erating in right-to-left direction. In addition, pre- sented is the bidirectional decoding method, that can take both of the advantages of left-to-right and right-to-left decoding method by generating output in both ways and by merging hypothesized …...

In order to answer factoid questions, the Webclopedia QA system employs a range of knowledge resources. These include a QA Typology with answer patterns, WordNet, information about typical numerical answer ranges, and semantic relations identified by a robust parser, to filter out likely-looking but wrong candidate answers. This paper describes …...

With the rapid growth of real application domains for NLP systems, there is a genuine demand for a general toolkit from which programmers with no linguistic knowledge can build specific NLP systems. Such a toolkit should provide an interface to accept sample sentences and convert them into semantic representations so …...

In this paper we investigate the task of automatically identifying the correct argument structure for a set of verbs. The argument structure of a verb allows us to predict the relationship between the syntac- tic arguments of a verb and their role in the under- lying lexical semantics of the …...

We profile the occurrence of clausal extraposition in corpora from different domains and demonstrate that extraposition is a pervasive phenomenon in German that must be addressed in German sentence realization. We present two different approaches to the modeling of extraposition, both based on machine learned decision tree classifiers. The two …...

To support context-based multimodal interpre- tation in conversational systems, we have devel- oped a semantics-based representation capture salient information from user inputs andto the overall conversation. In particular, we present three unique characteristics: fine- grained semantic models, flexible composition of feature structures, and consistent representa- tion at multiple levels. This …...

We present a quantitative model of word order and movement constraints that enables a simple and uniform treatment of a seemingly het- erogeneous collection of linear order phenomena in English, Dutch and German complement con- structions (Wh-extraction, clause union, extraposi- tion, verb clustering, particle movement, etc.). Un- derlying the scheme …...

We present in this paper a method for achiev- ing in an integrated way two tasks of topic analysis: segmentation and link detection. This method combines word repetition and the lexi- cal cohesion stated by a collocation network to compensate for the respective weaknesses of the two approaches. We report …...