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Results 1 - 10
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40,896
Stochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corpora
, 1997
"... ..."
Automatic Word Sense Discrimination
- Journal of Computational Linguistics
, 1998
"... This paper presents context-group discrimination, a disambiguation algorithm based on clustering. Senses are interpreted as groups (or clusters) of similar contexts of the ambiguous word. Words, contexts, and senses are represented in Word Space, a high-dimensional, real-valued space in which closen ..."
Abstract
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Cited by 530 (1 self)
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is automatic and unsupervised in both training and application: senses are induced from a corpus without labeled training insta,nces or other external knowledge sources. The paper demonstrates good performance of context-group discrimination for a sample of natural and artificial ambiguous words
A Statistical View on Bilingual Lexicon Extraction: From Parallel Corpora to Non-Parallel Corpora
- Parallel Text Processing
, 1998
"... . We present two problems for statistically extracting bilingual lexicon: (1) How can noisy parallel corpora be used? (2) How can non-parallel yet comparable corpora be used? We describe our own work and contribution in relaxing the constraint of using only clean parallel corpora. DKvec is a method ..."
Abstract
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Cited by 89 (3 self)
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major contribution is in the extraction of bilingual lexicon from non-parallel corpora. We present a first such result in this area, from a new method--Convec. Convec is based on context information of a word to be translated. We show a 30% to 76% precision when top-one to top-20 translation candidates
A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge
- PSYCHOLOGICAL REVIEW
, 1997
"... How do people know as much as they do with as little information as they get? The problem takes many forms; learning vocabulary from text is an especially dramatic and convenient case for research. A new general theory of acquired similarity and knowledge representation, latent semantic analysis (LS ..."
Abstract
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Cited by 1772 (10 self)
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(LSA), is presented and used to successfully simulate such learning and several other psycholinguistic phenomena. By inducing global knowledge indirectly from local co-occurrence data in a large body of representative text, LSA acquired knowledge about the full vocabulary of English at a comparable
Discriminative Bilingual Lexicon Induction Ann
"... Bilingual lexicon induction is the task of inducing word translations from monolingual corpora in two languages. We introduce a novel discriminative approach to bilingual lexicon induction. Our discriminative model is capable of combining a wide variety of features, which individually provide only w ..."
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Bilingual lexicon induction is the task of inducing word translations from monolingual corpora in two languages. We introduce a novel discriminative approach to bilingual lexicon induction. Our discriminative model is capable of combining a wide variety of features, which individually provide only
Semantic Relations in Bilingual Lexicons
"... Bilingual lexicons, essential to many NLP applications, can be constructed automatically on the basis of parallel or comparable corpora. In this article, we make two contributions to their induction from comparable corpora. The first one concerns the creation of these lexicons. We show that seed lex ..."
Abstract
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Cited by 3 (1 self)
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Bilingual lexicons, essential to many NLP applications, can be constructed automatically on the basis of parallel or comparable corpora. In this article, we make two contributions to their induction from comparable corpora. The first one concerns the creation of these lexicons. We show that seed
Text Chunking using Transformation-Based Learning
, 1995
"... Eric Brill introduced transformation-based learning and showed that it can do part-ofspeech tagging with fairly high accuracy. The same method can be applied at a higher level of textual interpretation for locating chunks in the tagged text, including non-recursive "baseNP" chunks. For ..."
Abstract
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Cited by 509 (0 self)
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Eric Brill introduced transformation-based learning and showed that it can do part-ofspeech tagging with fairly high accuracy. The same method can be applied at a higher level of textual interpretation for locating chunks in the tagged text, including non-recursive "baseNP" chunks
Semi-Supervised Learning Literature Survey
, 2006
"... We review the literature on semi-supervised learning, which is an area in machine learning and more generally, artificial intelligence. There has been a whole
spectrum of interesting ideas on how to learn from both labeled and unlabeled data, i.e. semi-supervised learning. This document is a chapter ..."
Abstract
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Cited by 757 (8 self)
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We review the literature on semi-supervised learning, which is an area in machine learning and more generally, artificial intelligence. There has been a whole
spectrum of interesting ideas on how to learn from both labeled and unlabeled data, i.e. semi-supervised learning. This document is a
Results 1 - 10
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40,896
