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method ID: openrelationextraction

Related Papers

Effectiveness and Efficiency of Open Relation Extraction

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

A large number of Open Relation Extrac- tion approaches have been proposed recently, covering a wide range of NLP machinery, from “shallow” (e.g., part-of-speech tagging) to “deep” (e.g., semantic role …...

34917

Improving Open Relation Extraction via Sentence Re-Structuring

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractInformation Extraction is an important task in Natural Language Processing, consisting of finding a structured representation for the information expressed in natural language text. Two key steps in information extraction …...

17092

ZORE: A Syntax-based System for Chinese Open Relation Extraction

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

Open Relation Extraction (ORE) over- comes the limitations of traditional IE techniques, which train individual extrac- tors for every single relation type. Sys- tems such as ReVerb, PATTY, OLLIE, and …...

34331

CORE: Context-Aware Open Relation Extraction with Factorization Machines

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

We propose CORE, a novel matrix fac- torization model that leverages contextual information for open relation extraction. Our model is based on factorization ma- chines and integrates facts from various …...

34427

SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractOpen relation extraction is the task of extracting open-domain relation facts from natural language sentences. Existing works either utilize heuristics or distant-supervised annotations to train a supervised classifier over pre-defined …...

30484

A Unified Representation Learning Strategy for Open Relation Extraction with Ranked List Loss

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractOpen Relation Extraction (OpenRE) aiming to extract relational facts from open-domain cor-pora is a sub-task of Relation Extraction and a crucial upstream process for many other NLPtasks. However various previous …...

5563

Element Intervention for Open Relation Extraction

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractOpen relation extraction aims to cluster relation instances referring to the same underlying relation, which is a critical step for general relation extraction. Current OpenRE models are commonly trained on …...

8392

Open Hierarchical Relation Extraction

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractOpen relation extraction (OpenRE) aims to extract novel relation types from open-domain corpora, which plays an important role in completing the relation schemes of knowledge bases (KBs). Most OpenRE methods …...

21322

Actively Supervised Clustering for Open Relation Extraction

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractCurrent clustering-based Open Relation Extraction (OpenRE) methods usually adopt a two-stage pipeline, which simultaneously learns relation representations and assignments in the first stage, then manually labels relation for each cluster. …...

38583