Papers Definition Extraction
“Definition Extraction” 태그가 달린 논문 27편 · 필터 해제
Automated Discovery of Mathematical Definitions in Text
Automatic definition extraction from texts is an important task that has numerous applications in several natural language processing fields such as summarization, analysis of scientific texts, automatic taxonomy generat…
ArticlesBinary ClassificationDefinition ExtractionQuestion Answering+2A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency
Definition Extraction (DE) is one of the well-known topics in Information Extraction that aims to identify terms and their corresponding definitions in unstructured texts. This task can be formalized either as a sentence…
Definition ExtractionMulti-Task LearningSentenceSentence ClassificationDEFT: A corpus for definition extraction in free- and semi-structured text
Definition extraction has been a popular topic in NLP research for well more than a decade, but has been historically limited to well-defined, structured, and narrow conditions. In reality, natural language is messy, and…
Definition ExtractionSyntactically Aware Neural Architectures for Definition Extraction
Automatically identifying definitional knowledge in text corpora (Definition Extraction or DE) is an important task with direct applications in, among others, Automatic Glossary Generation, Taxonomy Learning, Question An…
BenchmarkingBinary ClassificationClassificationDefinition Extraction+5DefExt: A Semi Supervised Definition Extraction Tool
We present DefExt, an easy to use semi supervised Definition Extraction Tool. DefExt is designed to extract from a target corpus those textual fragments where a term is explicitly mentioned together with its core feature…
Definition Extraction