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Found 9 papers, 0 papers with code
On the Geometry of Concreteness
In this paper we investigate how concreteness and abstractness are represented in word embedding spaces.
Detecting Paraphrases of Standard Clause Titles in Insurance Contracts
For the analysis of contract texts, validated model texts, such as model clauses, can be used to identify reused contract clauses.
Sentiment Independent Topic Detection in Rated Hospital Reviews
We present a simple method to find topics in user reviews that accompany ratings for products or services.
Predicting Word Concreteness and Imagery
Concreteness of words has been studied extensively in psycholinguistic literature.
Using Word Embeddings for Unsupervised Acronym Disambiguation
Scientific papers from all disciplines contain many abbreviations and acronyms.
Integrating Distributional and Lexical Information for Semantic Classification of Words using MRMF
Thus we show, that MRMF provides an interesting approach for building semantic classifiers that (1) gives better results than unsupervised approaches based on vector similarity, (2) gives similar results as other supervised methods and (3) can naturally be extended with other sources of information in order to improve the results.
CogALex-V Shared Task: HsH-Supervised -- Supervised similarity learning using entry wise product of context vectors
The CogALex-V Shared Task provides two datasets that consists of pairs of words along with a classification of their semantic relation.
Learning Thesaurus Relations from Distributional Features
The similarity of words can be computed by comparing their feature vectors.
