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Automatic acquisition of sense-tagged corpora

The knowledge acquisition bottleneck is perhaps the major impediment to solving the word sense disambiguation (WSD) problem. Unsupervised learning… 
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Related topics

Related topics

13 relations
Bitext word alignmentInformation retrievalKnowledge acquisitionMass collaboration

Broader (3)

Computational linguisticsNatural language processingWord-sense disambiguation

Papers overview

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Highly Cited
2018
Highly Cited
2018
SemEval-2018 Task 1: Affect in Tweets
We present the SemEval-2018 Task 1: Affect in Tweets, which includes an array of subtasks on inferring the affectual state of a… 
Review
2018
Review
2018
Deep Convolution Neural Networks for Twitter Sentiment Analysis
Twitter sentiment analysis technology provides the methods to survey public emotion about the events or products related to them… 
2016
2016
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media
Named Entity Recognition (NER) is the task of classifying or labelling atomic elements in the text into categories such as Person… 
2015
2015
Indonesian-Japanese term extraction from bilingual corpora using machine learning
As bilateral relation between Indonesia and Japan strengthens, the need of consistent term usage for both languages becomes… 
2012
2012
Detecting Highly Confident Word Translations from Comparable Corpora without Any Prior Knowledge
In this paper, we extend the work on using latent cross-language topic models for identifying word translations across comparable… 
Highly Cited
2011
Highly Cited
2011
Identifying Word Translations from Comparable Corpora Using Latent Topic Models
A topic model outputs a set of multinomial distributions over words for each topic. In this paper, we investigate the value of… 
2011
2011
Harnessing different knowledge sources to measure semantic relatedness under a uniform model
Measuring semantic relatedness between words or concepts is a crucial process to many Natural Language Processing tasks. Exiting… 
Highly Cited
2008
Highly Cited
2008
A Graph Kernel for Protein-Protein Interaction Extraction
In this paper, we propose a graph kernel based approach for the automated extraction of protein-protein interactions (PPI) from… 
Highly Cited
2004
Highly Cited
2004
Mining New Word Translations from Comparable Corpora
New words such as names, technical terms, etc appear frequently. As such, the bilingual lexicon of a machine translation system… 
Highly Cited
2002
Highly Cited
2002
Integrating selectional preferences in WordNet
Selectional preference learning methods have usually focused on word-to-class relations, e.g., a verb selects as its subject a… 
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