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Found 24 papers, 1 papers with code
Distant Supervision for Relation Extraction with Multi-sense Word Embedding
However, existing studies have a disadvantage in that they do not reflect the homograph in the word embedding used as an input of the relation extraction model.
Unsupervised Fact Checking by Counter-Weighted Positive and Negative Evidential Paths in A Knowledge Graph
We present a novel rule-based approach that finds positive and negative evidential paths in a knowledge graph for a given factual statement and calculates a truth score for the given statement by unsupervised ensemble of the found positive and negative evidential paths.
Crowdsourcing in the Development of a Multilingual FrameNet: A Case Study of Korean FrameNet
Using current methods, the construction of multilingual resources in FrameNet is an expensive and complex task.
Effective Crowdsourcing of Multiple Tasks for Comprehensive Knowledge Extraction
Information extraction from unstructured texts plays a vital role in the field of natural language processing.
Utilizing Graph Measure to Deduce Omitted Entities in Paragraphs
This demo deals with the problem of capturing omitted arguments in relation extraction given a proper knowledge base for entities of interest.
A Korean Knowledge Extraction System for Enriching a KBox
The increased demand for structured knowledge has created considerable interest in knowledge extraction from natural language sentences.
The Open Framework for Developing Knowledge Base And Question Answering System
Developing a question answering (QA) system is a task of implementing and integrating modules of different technologies and evaluating an integrated whole system, which inevitably goes with a collaboration among experts of different domains.
SRDF: Extracting Lexical Knowledge Graph for Preserving Sentence Meaning
For this reason, we combine open information extraction with the reification for the full text extraction to preserve meaning of sentence in our knowledge graph.
Korean FrameNet Expansion Based on Projection of Japanese FrameNet
FrameNet project has begun from Berkeley in 1997, and is now supported in several countries reflecting characteristics of each language.
QAF: Frame Semantics-based Question Interpretation
Natural language questions are interpreted to a sequence of patterns to be matched with instances of patterns in a knowledge base (KB) for answering.
MAGES: A Multilingual Angle-integrated Grouping-based Entity Summarization System
This demo presents MAGES (multilingual angle-integrated grouping-based entity summarization), an entity summarization system for a large knowledge base such as DBpedia based on a entity-group-bound ranking in a single integrated entity space across multiple language-specific editions.
Dedicated Workflow Management for OKBQA Framework
Nowadays, a question answering (QA) system is used in various areas such a quiz show, personal assistant, home device, and so on.
Korean TimeML and Korean TimeBank
Before developing the system, it first necessary to define or design the structure of temporal information.
Named Entity Corpus Construction using Wikipedia and DBpedia Ontology
In this paper, we propose a novel method to automatically build a named entity corpus based on the DBpedia ontology.
