Extracting Word Synonyms from Text using Neural Approaches

Extracting Synonyms from Dictionary Definitions

Automatic extraction of synonyms and/or semantically related words has various applications in Natural Language Processing (NLP). There are currently two mainstream extraction paradigms, namely, lexicon-based and distributional approaches. The former usually suffers from low coverage, while the latter is only able to capture general relatedness rather than strict synonymy. In this paper, two ru...

Extracting Social Networks from Literary Text with Word Embedding Tools

In this paper a social network is extracted from a literary text. The social network shows, how frequent the characters interact and how similar their social behavior is. Two types of similarity measures are used: the first applies co-occurrence statistics, while the second exploits cosine similarity on different types of word embedding vectors. The results are evaluated by a paid micro-task cr...

Extracting Constraints on Word Usage from Large Text Corpora

Our research focuses on the identification of word usage constraints from large text corpora. Such constraints are important for natural language systems, both for the problem of selecting vocabulary for language generation and for disambiguating lexical meaning in interpretation. The first stage of our research involves the development of systems that can automatically extract such constraints...

A review of text mining approaches and their function in discovering and extracting a topic

Background and aim: Four text mining methods are examined and focused on understanding and identifying their properties and limitations in subject discovery. Methodology: The study is an analytical review of the literature of text mining and topic modeling.  Findings: LSA could be used to classify specific and unique topics in documents that address only a single topic. The other three text min...

Extracting Text from Proof