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Word Sense Disambiguation

39 papers with code · Natural Language Processing

The task of Word Sense Disambiguation (WSD) consists of associating words in context with their most suitable entry in a pre-defined sense inventory. The de-facto sense inventory for English in WSD is WordNet. For example, given the word “mouse” and the following sentence:

“A mouse consists of an object held in one's hand, with one or more buttons.”

we would assign “mouse” with its electronic device sense (the 4th sense in the WordNet sense inventory).

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Greatest papers with code

Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings

23 Sep 2019uhh-lt/bert-sense

Since vectors of the same word type can vary depending on the respective context, they implicitly provide a model for word sense disambiguation (WSD).

WORD SENSE DISAMBIGUATION

SupWSD: A Flexible Toolkit for Supervised Word Sense Disambiguation

EMNLP 2017 SI3P/SupWSD

In this demonstration we present SupWSD, a Java API for supervised Word Sense Disambiguation (WSD).

WORD SENSE DISAMBIGUATION

Making Fast Graph-based Algorithms with Graph Metric Embeddings

ACL 2019 uhh-lt/path2vec

The computation of distance measures between nodes in graphs is inefficient and does not scale to large graphs.

SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY WORD SENSE DISAMBIGUATION

Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation

EMNLP 2017 uhh-lt/wsd

In word sense disambiguation (WSD), knowledge-based systems tend to be much more interpretable than knowledge-free counterparts as they rely on the wealth of manually-encoded elements representing word senses, such as hypernyms, usage examples, and images.

WORD SENSE DISAMBIGUATION

Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings

NAACL 2016 spandanagella/verse

We introduce a new task, visual sense disambiguation for verbs: given an image and a verb, assign the correct sense of the verb, i. e., the one that describes the action depicted in the image.

IMAGE RETRIEVAL WORD SENSE DISAMBIGUATION

An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages

LREC 2018 nlpub/watasense

The sparse mode uses the traditional vector space model to estimate the most similar word sense corresponding to its context.

SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY WORD SENSE DISAMBIGUATION

Using Distributed Representations to Disambiguate Biomedical and Clinical Concepts

WS 2016 clips/yarn

In this paper, we report a knowledge-based method for Word Sense Disambiguation in the domains of biomedical and clinical text.

WORD SENSE DISAMBIGUATION