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Word sense disambiguation and the related field of automated word sense induction traditionally
assume that the occurrences of a lemma can be partitioned into senses. But this seems
to be a much eas...
Improved Estimation of Entropy for Evaluation of Word Sense Induction
Entropy for Evaluation Word Sense Induction
2015/9/14
Information-theoretic measures are among the most standard techniques for evaluation of clustering methods including word sense induction (WSI) systems. Such measures rely on sample-based estimates of...
A Large-Scale Pseudoword-Based Evaluation Framework for State-of-the-Art Word Sense Disambiguation
Large-Scale Pseudoword State-of-the-Art Word Sense Disambiguation
2015/9/14
The evaluation of several tasks in lexical semantics is often limited by the lack of large amounts of manual annotations, not only for training purposes, but also for testing purposes. Word Sense Disa...
Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction
Clustering and Diversifying Web Search Graph Word Sense Induction
2015/9/11
Web search result clustering aims to facilitate information search on the Web. Rather than the results of a query being presented as a flat list, they are grouped on the basis of their similarity and ...
Consistent Validation of Manual and Automatic Sense Annotations with the Aid of Semantic Graphs
Automatic Sense Annotations Validation
2015/9/1
The task of annotating texts with senses from a computational lexicon is widely recognized to be
complex and often subjective. Although strategies like interannotator agreement and voting can
be app...
The Interaction of Knowledge Sources in Word Sense Disambiguation
Word Sense Disambiguation Knowledge Sources
2015/8/26
Word sense disambiguation (WSD) is a computational linguistics task likely to benefit from the
tradition of combining different knowledge sources in artificial intelligence research. An i...
A 'parser' is a device, either human or mechanical, that is designed to analyse a person's utterances as a part of deciding what that person meant. Most mechanical parsers do this by breaking down, or...
Verb Sense and Subcategorization:Using Joint Inference to Improve Performance on Complementary Tasks
Verb Sense and Subcategorization Performance Complementary Tasks
2015/6/12
We propose a general model for joint inference in correlated natural language processing tasks when fully annotated training data is not available, and apply this model to the dual tasks of word sense...
A Unified Model for Word Sense Representation and Disambiguation
Word Sense Representation Disambiguation
2015/1/24
A Unified Model for Word Sense Representation and Disambiguation.
Making Sense of Reading Scores with Reading Evaluation and Decoding System (READS)
Encoder Analyser Reading Matrix Decoder Calibrated
2011/6/22
It is imperative that teachers need to assess their learners’ reading proficiency. Incidentally, most assessments
developed and conducted by teachers merely discriminate who among their learners are ...
Making Sense of Text：Strategies Used by Good and Average Readers
Text Average Readers Strategies
2009/8/18
This paper discusses the reading comprehension strategies used by four good and four average readers in their efforts to understand L1 (Malay) and L2 (English) comprehension texts and why they used th...
A Scheme of Word Sense Disambiguation based on Integrated Language Knowledge Base
Word Sense Disambiguation Integrated Language Knowledge Base
2009/2/10
We intend to provide a broad-brush
framework of WSD based on the Integrated
Language Knowledge Base
(ILKB) in the Institute of Computational
Linguistics/Peking University,
as the guidelines of ou...
In this paper, we present a theoretical framework for a new IR model, which, by taking the distribution of words in the sense direction into account, represents a document as a term-sense matrix and a...