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Found 10 papers, 3 papers with code
Representing ELMo embeddings as two-dimensional text online
We describe a new addition to the WebVectors toolkit which is used to serve word embedding models over the Web.
To lemmatize or not to lemmatize: how word normalisation affects ELMo performance in word sense disambiguation
Then, these models were evaluated on the word sense disambiguation task.
CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech
Although there is an unprecedented effort to provide adequate responses in terms of laws and policies to hate content on social media platforms, dealing with hatred online is still a tough problem.
Distributional Semantics in the Real World: Building Word Vector Representations from a Truth-Theoretic Model
There are two main aspects to this difference: a) DSMs are built over corpus data which may or may not reflect {`}what is in the world{'}; b) they are built from word co-occurrences, that is, from lexical types rather than entities and sets.
Building Web-Interfaces for Vector Semantic Models with the WebVectors Toolkit
In this demo we present WebVectors, a free and open-source toolkit helping to deploy web services which demonstrate and visualize distributional semantic models (widely known as word embeddings).
Clustering of Russian Adjective-Noun Constructions using Word Embeddings
This paper presents a method of automatic construction extraction from a large corpus of Russian.
Exploration of register-dependent lexical semantics using word embeddings
We present an approach to detect differences in lexical semantics across English language registers, using word embedding models from distributional semantics paradigm.
Neural Embedding Language Models in Semantic Clustering of Web Search Results
In this paper, a new approach towards semantic clustering of the results of ambiguous search queries is presented.
