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Word Sense Disambiguation

30 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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Latest papers with code

Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation

14 May 2019getalp/disambiguate

In this article, we tackle the issue of the limited quantity of manually sense annotated corpora for the task of word sense disambiguation, by exploiting the semantic relationships between senses such as synonymy, hypernymy and hyponymy, in order to compress the sense vocabulary of Princeton WordNet, and thus reduce the number of different sense tags that must be observed to disambiguate all words of the lexical database.

WORD SENSE DISAMBIGUATION

5
14 May 2019

Cross-lingual Lexical Sememe Prediction

EMNLP 2018 thunlp/CL-SP

We propose a novel framework to model correlations between sememes and multi-lingual words in low-dimensional semantic space for sememe prediction.

SENTIMENT ANALYSIS WORD SENSE DISAMBIGUATION

12
01 Oct 2018

Learning Graph Embeddings from WordNet-based Similarity Measures

SEMEVAL 2019 uhh-lt/path2vec

We present path2vec, a new approach for learning graph embeddings that relies on structural measures of pairwise node similarities.

GRAPH EMBEDDING SEMANTIC TEXTUAL SIMILARITY WORD SENSE DISAMBIGUATION

9
16 Aug 2018

GenSense: A Generalized Sense Retrofitting Model

COLING 2018 y95847frank/GenSense

In the experiment, we show that the generalized model can outperform previous approaches in three types of experiment: semantic relatedness, contextual word similarity and semantic difference.

SEMANTIC TEXTUAL SIMILARITY WORD SENSE DISAMBIGUATION

2
01 Aug 2018

WSD algorithm based on a new method of vector-word contexts proximity calculation via epsilon-filtration

24 May 2018componavt/wcorpus

It is necessary to select the meaning of the word in the sentence automatically.

WORD SENSE DISAMBIGUATION

0
24 May 2018

Incorporating Glosses into Neural Word Sense Disambiguation

ACL 2018 jimiyulu/WSD_MemNN

GAS models the semantic relationship between the context and the gloss in an improved memory network framework, which breaks the barriers of the previous supervised methods and knowledge-based methods.

WORD SENSE DISAMBIGUATION

69
21 May 2018