Relation Detection
Related Papers
Unsupervised Information Extraction Approach Using Graph Mutual Reinforcement
Information Extraction (IE) is the task of extracting knowledge from unstructured text. We present a novel unsupervised approach for information extraction based on graph mutual reinforcement. The proposed approach does …...
Extracting Social Networks and Biographical Facts From Conversational Speech Transcripts
We present a general framework for automatically extracting social networks and biographical facts from conversational speech. Our approach relies on fusing the output produced by multiple informa- tion extraction modules, …...
Syntactic and Semantic Kernels for Short Text Pair Categorization
Automatic detection of general relations between short texts is a complex task that cannot be carried out only relying on lan- guage models and bag-of-words. There- fore, learning methods to …...
Improved Neural Relation Detection for Knowledge Base Question Answering
AbstractRelation detection is a core component of many NLP applications including Knowledge Base Question Answering (KBQA). In this paper, we propose a hierarchical recurrent neural network enhanced by residual learning …...
Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network
AbstractRecognizing and distinguishing antonyms from other types of semantic relations is an essential part of language understanding systems. In this paper, we present a novel method for deriving antonym pairs …...
Pattern-revising Enhanced Simple Question Answering over Knowledge Bases
AbstractQuestion Answering over Knowledge Bases (KB-QA), which automatically answer natural language questions based on the facts contained by a knowledge base, is one of the most important natural language processing …...
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
AbstractRelation detection is a core step in many natural language process applications including knowledge base question answering. Previous efforts show that single-fact questions could be answered with high accuracy. However, …...
Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering
AbstractQuestion answering over knowledge bases (KBQA) usually involves three sub-tasks, namely topic entity detection, entity linking and relation detection. Due to the large number of entities and relations inside knowledge …...