Extracting Semantic Frames from Thai Medical-Symptom Unstructured Text with Unknown Target-Phrase Boundaries

Extracting Chemical Information from Thai Unstructured Text with Unknown Phrase Boundaries

Due to the limitations of language-processing tools for the Thai language, pattern-based information extraction from Thai documents requires supplementary techniques. Based on sliding-window rule application and extraction filtering, we present a framework for extracting multi-slot frames describing chemical reactions and those describing chemical syntheses from Thai unstructured text with unkn...

Extracting Relations from Unstructured Text

Learning a semantic database from unstructured text

In this paper, we aim to learn a semantic database given a text corpus. Specifically, we focus on predicting whether or not a pair of entities are related by the hypernym relation, also known as the 'is-a' or 'type-of' relation. We learn a neural network model for this task. The model is given as input a description of the words and the context from the text corpus in which a pair of nouns (ent...

Extracting Semantic Representations from Large Text Corpora

Many connectionist language processing models have now reached a level of detail at which more realistic representations of semantics are required. In this paper we discuss the extraction of semantic representations from the word co-occurrence statistics of large text corpora and present a preliminary investigation into the validation and optimisation of such representations. We find that there...

Extracting Relations from Unstructured Text Sources for Music Recommendation

This paper presents a method for the generation of structured data sources for music recommendation using information extracted from unstructured text sources. The proposed method identifies entities in text that are relevant to the music domain, and then extracts semantically meaningful relations between them. The extracted entities and relations are represented as a graph, from which the reco...