What is word meaning, really? (And how can distributional models help us describe it?)
What is word meaning, really? (And how can distributional models help us describe it?)
What is word meaning, really? (And how can distributional models help us describe it?)
What is word meaning, really? (And how can distributional models help us describe it?)
Related Papers
Abstract—Semantic composition in distributional semantic models (DSMs) offers a powerful tool to represent word meaning in context. In this paper, we investigate methods to utilize compositional DSMs to improve word sense discrimination and word sense disambiguation. In this work, we rely on a previously proposed multiplicative model of composition. We explore methods to extend this model to exploit richer contexts.
This chapter explores the different sources of linguistic knowledge that can be employed by WSD systems. These are more abstract than the features used by WSD algorithms, which are encoded at the algorithmic level and normally extracted from a lexical resource or corpora. The chapter begins by listing a comprehensive set of knowledge sources with examples of their application and then explains whether this linguistic knowledge may be found in corpora, lexical knowledge bases or machine readable dictionaries.
What do you know about an alligator when you know the company it keeps
- K. Erk
-
Philosophy
- 2016
The author builds on recent work that indicates that distributional models can in fact distinguish to some extent between semantic relations, and argues that (the right kind of) distributional similarity indicates property overlap, and proposes a probabilistic account of semantic knowledge that can learn from such data.
SHOWING 1-10 OF 82 REFERENCES
Do Word Meanings Exist?
- P. Hanks
-
Philosophy
Comput. Humanit.
- 2000
The argument is made, on the basis of recent work in corpus analysis, that checklist theories in their current form are at bestsuperficial and at worst misleading.
«I Don’t Believe in Word Senses»
- A. Kilgarriff
-
Linguistics
Comput. Humanit.
- 1997
It is suggested, by contrast, that wordsenses exist only relative to a task, and whether and how word sense ambiguity is infact a problem for current NLP applications is explored.
Graded Word Sense Assignment
- K. ErkDiana McCarthy
-
Linguistics
EMNLP
- 2009
Grading word sense assignment is studied based on a recent dataset of graded word sense annotation and finds the task of labeling a word in context with the best-fitting sense from a sense inventory such as WordNet is difficult.
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