Disambiguation

The problem of manually modifying the lexicon appears with any natural language processing program. Ideally, a program should be able to acquire new lexieal entries from context, the way people …...

The disambiguation of sentences is a combinatorial problem. This paper describes a method for treating it as such, directly, by adapting standard combinatorial search optimizations. Traditional disambiguation heu- ristics are …...

There have been various attempts at using the sublanguage notion for disambi- guation and the selection of target language equivalents in machine translation. In this paper a theoretical concept and …...

This paper describes an experimental compari- son of seven different learning algorithms on the problem of learning to disambiguate the meaning of a word from context. The algorithms tested include …...

Lexical attributes, like syntactic (part-of-speech) and semantic (semantic category) attributes, are in most cases, ambiguous in every languages. Automatic resolution of ambiguity of these attributes can be achieved using different …...

In this paper we present an approach to the dis- ambiguation of capitalized words when they are used in the positions where capitalization is ex- pected, such as the first …...

Ambiguous propositions are analyzed in a type system where disambiguation is effected during assembly (i.e. by coer- cion). Ambiguity is introduced through a layer of types that are underspecified relative …...

This paper describes automatic tech- niques for mapping 9611 entries in a database of English verbs to Word- Net senses. The verbs were initially grouped into 491 classes based on …...

We studied contrast and variability in a corpus of gene names to identify potential heuristics for use in performing entity identification in the molecular biology domain. Based on our findings, …...

We report on the results of an experiment aimed at enabling a machine translation system to select the appropriate strategy for dealing with words and phrases which have different translations …...

This paper describes the exemplar based ap- proach presented by UNED at Senseval-3. In- stead of representing contexts as bags of terms and defining a similarity measure between con- texts, …...

. It remains to be a difficult issue to convert Chinese language into Chinese sign language, which makes it hard to implement an obstacle free Chinese sign language information service …...

We present a new method for detecting and disambiguating named entities in open do- main text. A disambiguation SVM kernel is trained to exploit the high coverage and rich structure …...

In this paper we present methods for im- proving the disambiguation of noun phrase (NP) coordination within the framework of a lexicalised history-based parsing model. As well as reducing noise …...

Morphological analysis and disambiguation are crucial stages in a variety of natural language processing applications, especially when languages with complex morphology are concerned. We present a system which disambiguates the …...

AbstractConventional methods for disambiguation problems have been using statistical methods with co-occurrence of words in their contexts. It seems that human-beings assign appropriate word senses to the given ambiguous word …...

AbstractWe have recently converted a dependency treebank, consisting of ancient Greek and Latin texts, from one annotation scheme to another that was independently designed. This paper makes two observations about …...

Disambiguating concepts and entities in a con- text sensitive way is a fundamental problem in natural language processing. The compre- hensiveness of Wikipedia has made the on- line encyclopedia an …...

This paper takes a discourse-oriented per- spective for disambiguating common and proper noun mentions with respect to Wikipedia. Our novel approach mod- els the relationship between disambigua- tion and aspects …...

AbstractAutomatic syntactic analysis of a corpus requires detailed lexical and morphological information that cannot always be harvested from traditional dictionaries. In building the INESS Norwegian treebank, it is often the …...

Named entity linking (NEL) can be applied to documents such as financial reports, web pages and news articles, but state of the art disambiguation techniques are currently too slow for …...

Community question answering sites pro- vide us convenient and interactive plat- forms for problem solving and knowl- edge sharing, which are attracting an in- creasing number of users. Accordingly, it …...

AbstractWikipedia has been increasingly used as a knowledge base for open-domain Named Entity Linking and Disambiguation. In this task, a dictionary with entity surface forms plays an important role in …...

AbstractShort texts challenge NLP tasks such as named entity recognition, disambiguation, linking and relation inference because they do not provide sufficient context or are partially malformed (e.g. wrt. capitalization, long …...

AbstractThe paper presents the issue of collocability and collocations in Russian and gives a survey of a wide range of dictionaries both printed and online ones that describe collocations. Our …...

AbstractMorphological analysis and disambiguation is an important task and a crucial preprocessing step in natural language processing of morphologically rich languages. Kinyarwanda, a morphologically rich language, currently lacks tools for …...