Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome_openie
https://github.com/FORMAS/awesome_openie
- "Machine Reading" - AAAI 2006
- "Open Information Extraction from the Web" - IJCAI 2007
- "Unsupervised Resolution of Objects and Relations on the Web" - NAACL 2007
- "TextRunner: Open Information Extraction on the Web" - HLT-NAACL 2007
- "The Tradeoffs between Open and Traditional Relation Extraction" - ACL 2008
- "Open Knowledge Extraction through Compositional Language Processing" - STEP 2008
- "Open Information Extraction from the Web" - Commun. ACM 2008
- "Using Wikipedia to Bootstrap Open Information Extraction" - SIGMOD 2009
- "Open Information Extraction Using Wikipedia" - ACL 2010
- "Identifying Functional Relations in Web Text" - EMNLP 2010
- "Adapting Open Information Extraction to Domain-Specific Relations" - AI Magazine (31), 2010
- "Open Information Extraction: The Second Generation" - IJCAI 2011 ([slides](http://www.cse.iitd.ac.in/~mausam/courses/col864/spring2017/slides/03-openie.pdf))
- "Identifying Relations for Open Information Extraction" - EMNLP 2011 [(resources (code, data)](http://reverb.cs.washington.edu/))
- "Filtering and Clustering Relations for Unsupervised Information Extraction in Open Domain" - CIKM 2011
- "An Analysis of Open Information Extraction based on Semantic Role Labeling" - K-CAP 2011
- "Open Language Learning for Information Extraction" - EMNLP-CoNLL 2012 ([resources (code, data, binaries)](http://knowitall.github.io/ollie/))
- "PATTY: A Taxonomy of Relational Patterns with Semantic Types" - EMNLP-CoNLL 2012
- "Ensemble Semantics for Large-scale Unsupervised Relation Extraction" - EMNLP-CoNLL 2012
- "WiSeNet: building a wikipedia-based semantic network with ontologized relations" - CIKM 2012 ([resources](http://lcl.uniroma1.it/wisenet/))
- "Open Information Extraction for SOV Language Based on Entity-Predicate Pair Detection" - COLING 2012
- "A Weighting Scheme for Open Information Extraction" - HLT-NAACL 2012
- "Dependency-based open information extraction" - Joint Workshop on Unsupervised and Semi-Supervised Learning in NLP @ ACL 2012
- "KrakeN: N-ary Facts in Open Information Extraction" - AKBC-WEKEX@NAACL-HLT 2012
- "Improving Open Information Extraction for Informal Web Documents with Ripple-Down Rules" - PKAW 2012
- "ClausIE: clause-based open information extraction" - WWW 2013 ([slides](https://people.mpi-inf.mpg.de/~corrogg/publications/delcorro13clausie-slides.pdf), [code](http://resources.mpi-inf.mpg.de/d5/clausie/clausie-0-0-1.zip), [all resources](https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/software/clausie/))
- "Integrating Syntactic and Semantic Analysis into the Open Information Extraction Paradigm" - IJCAI 2013 ([resources](http://lcl.uniroma1.it/wisenet/))
- "Effectiveness and Efficiency of Open Relation Extraction" - EMNLP 2013 ([code](https://github.com/U-Alberta/exemplar))
- "Open Information Extraction with Tree Kernels" - HLT-NAACL 2013
- "Relation Extraction with Matrix Factorization and Universal Schemas" - HLT-NAACL 2013
- "Open Information Extraction via Contextual Sentence Decomposition" - ICSC 2013
- "Integrating Open and Closed Information Extraction: Challenges and First Steps" - NLP-DBPEDIA@ISWC 2013
- "Open Information Extraction to KBP Relations in 3 Hours" - TAC 2013
- "ReNoun: Fact Extraction for Nominal Attributes" - EMNLP 2014
- "ZORE: A Syntax-based System for Chinese Open Relation Extraction" - EMNLP 2014
- "Canonicalizing Open Knowledge Bases" - CIKM 2014
- "Focused Entailment Graphs for Open IE Propositions" - CoNLL 2014
- "Boosting Open Information Extraction with Noun-Based Relations" - LREC 2014
- "Improving Open Relation Extraction via Sentence Re-Structuring" - LREC 2014
- "More Informative Open Information Extraction via Simple Inference" - ECIR 2014
- "Semantifying Triples from Open Information Extraction Systems" - STAIRS 2014
- "Entity-Centric Coreference Resolution of Person Entities for Open Information Extraction" - Procesamiento del Lenguaje Natural (2014)
- "Open Information Extraction for Spanish Language based on Syntactic Constraints" - ACL (Student Research Workshop) (2014)
- "Leveraging Linguistic Structure For Open Domain Information Extraction" - ACL 2015 ([code (Java)](https://stanfordnlp.github.io/CoreNLP/openie.html), [code (Python)](https://github.com/philipperemy/Stanford-OpenIE-Python))
- "Open IE as an Intermediate Structure for Semantic Tasks" - ACL 2015
- "Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis" - TACL 2015 ([resources](http://lcl.uniroma1.it/defie/))
- "Inferring Binary Relation Schemas for Open Information Extraction" - EMNLP 2015
- "Knowledge Base Unification via Sense Embeddings and Disambiguation" - EMNLP 2015 ([resources](http://lcl.uniroma1.it/kb-unify/))
- "CORE: Context-Aware Open Relation Extraction with Factorization Machines" - EMNLP 2015 ([code](https://github.com/fabiopetroni/CORE))
- *"Multilingual Open Relation Extraction Using Cross-lingual Projection"* - HLT-NAACL 2015
- *"Enriching Structured Knowledge with Open Information"* - WWW 2015
- "SRDF: Korean Open Information Extraction using Singleton Property" - ISWC 2015
- "Multilingual Open Information Extraction" - EPIA 2015
- "Open information extraction based on lexical semantics" - J. Braz. Comp. Soc. 21 2015
- "Nested Propositions in Open Information Extraction" - EMNLP 2016 ([talk](https://vimeo.com/239245885))
- "Creating a Large Benchmark for Open Information Extraction" - EMNLP 2016 ([code](https://github.com/gabrielStanovsky/oie-benchmark), [talk](https://vimeo.com/239251034))
- "Porting an Open Information Extraction System from English to German" - EMNLP 2016 ([code](https://github.com/UKPLab/props-de))
- "Relation Schema Induction using Tensor Factorization with Side Information" - EMNLP 2016
- "Open Information Extraction Systems and Downstream Applications" - IJCAI 2016
- "Demonyms and Compound Relational Nouns in Nominal Open IE" - AKBC@NAACL-HLT 2016
- "A Rule Based Open Information Extraction Method Using Cascaded Finite-State Transducer" - PAKDD 2016
- "Getting More Out Of Syntax with PropS" - CoRR (2016)
- "Improving Open Information Extraction for Semantic Web Tasks" - Trans. Computational Collective Intelligence 21, 2016
- "An Informativeness Approach to Open IE Evaluation" - CICLing 2016 ([slides](http://www-etud.iro.umontreal.ca/~lechellw/papers/2016-CICLING.pdf), [code + data](http://www-etud.iro.umontreal.ca/~lechellw/data/CICLing_092.zip))
- "MinIE: Minimizing Facts in Open Information Extraction" - EMNLP 2017 ([code](https://github.com/uma-pi1/minie), [poster](https://dws.informatik.uni-mannheim.de/fileadmin/lehrstuehle/pi1/people/rgemulla/publications/gashteovski17minie-poster.pdf), [all resources](https://dws.informatik.uni-mannheim.de/en/resources/software/minie/))
- "Answering Complex Questions Using Open Information Extraction" - ACL 2017
- "Pocket Knowledge Base Population" - ACL 2017
- "Bootstrapping for Numerical Open IE" - ACL 2017
- "MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models" - EACL 2017 ([code](https://github.com/sheng-z/cross-lingual-open-ie))
- Open Relation Extraction for Support Passage Retrieval: Merit and Open Issues" - SIGIR 2017
- "Syntactic Representation Learning for Open Information Extraction on Web" - WWW 2017
- "MetaPAD: Meta Pattern Discovery from Massive Text Corpora" - KDD 2017
- "RelVis: Benchmarking OpenIE Systems" - ISWC 2017
- "A Consolidated Open Knowledge Representation for Multiple Texts" - LSDSem@EACL 2017
- "Open Relation Extraction and Grounding" - IJCNLP 2017
- "Selective Decoding for Cross-lingual Open Information Extraction" - IJCNLP(1) 2017
- "An assessment of open relation extraction systems for the semantic web" - Inf. Syst. 71, 2017
- "An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling" - IWCS 2017
- "Discovering Relational Phrases for Qualia Roles Through Open Information Extraction" - KESW 2017
- "Open Relation Extraction Based on Core Dependency Phrase Clustering" - DSC 2017
- "Analysing Errors of Open Information Extraction Systems" - Workshop on Building Linguistically Generalizable NLP Systems @ EMNLP 2017
- "Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction" - WSDM 2018
- "Assertion-Based QA With Question-Aware Open Information Extraction" - AAAI 2018
- "Neural Open Information Extraction" - ACL 2018
- "Supervised Open Information Extraction" - NAACL-HLT 2018
- *"Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain"* - EMNLP 2018
- "Open Information Extraction from Conjunctive Sentences" - COLING 2018
- "Graphene: Semantically-Linked Propositions in Open Information Extraction" - COLING 2018 ([code](https://github.com/Lambda-3/Graphene), [documentation](http://lambda3.org/Graphene/))
- "Open Information Extraction on Scientific Text: An Evaluation" - COLING 2018
- "A Survey on Open Information Extraction" - COLING 2018
- "StuffIE: Semantic Tagging of Unlabeled Facets Using Fine-Grained Information Extraction" - CIKM 2018
- "Towards Practical Open Knowledge Base Canonicalization" - CIKM 2018
- "Open Information Extraction with Global Structure Constraints" - WWW 2018
- "CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information" - WWW 2018 ([code](https://github.com/malllabiisc/cesi))
- "Revisiting the Task of Scoring Open IE Relations" - etud.iro.umontreal.ca/~lechellw/papers/2018-LREC-poster.pdf)) - LREC 2018
- "Employing Semantic Context for Sparse Information Extraction Assessment" - TKDD 2018 ([resources](https://github.com/peipeilihfut/AssessSparseIE))
- "Open Information Extraction with Meta-pattern Discovery in Biomedical Literature" - BCB 2018
- "Modeling and Summarizing News Events Using Semantic Triples" - ESWC 2018
- "Disambiguating Open IE: Identifying Semantic Similarity in Relation Extraction by Word Embeddings" - PROPOR 2018
- "Task-Oriented Evaluation of Dependency Parsing with Open Information Extraction" - PROPOR 2018
- "Challenges of an Annotation Task for Open Information Extraction in Portuguese" - PROPOR 2018
- "A systematic mapping study on open information extraction" - Expert Syst. Appl. 2018
- "Self-training on refined clause patterns for relation extraction" - Inf. Process. Manage. 54(4): 686-706 (2018)
- "Supervised Neural Models Revitalize the Open Relation Extraction" - CoRR 2018
- "Chinese Open Relation Extraction and Knowledge Base Establishment" - ACM Trans. Asian & Low-Resource Lang. Inf. Process. 2018 ([slides](https://hong.xmu.edu.cn/__local/B/68/C0/92B8F8DC6AC06A3F256E1FE1A6F_9556CC90_4CCA5D.pdf?e=.pdf), [code](https://github.com/lemonhu/open-entity-relation-extraction))
- Rule-based Indonesian Open Information Extraction" - ICAICTA 2018
- "WiRe57 : A Fine-Grained Benchmark for Open Information Extraction" - CoRR 2018
- " Uncovering Algorithmic Approaches in Open Information Extraction: A Literature Review." - 30th Benelux Conference on Artificial Intelligence 2018
- "OPIEC: An Open Information Extraction Corpus" - AKBC 2019 ([data + resources](https://www.uni-mannheim.de/dws/research/resources/opiec/), [code (data reading)](https://github.com/uma-pi1/OPIEC), [code (pipeline)](https://github.com/uma-pi1/OPIEC-pipeline))
- "MinScIE: Citation-centered Open Information Extraction" - JCDL 2019 ([code](https://github.com/gkiril/MinSCIE))
- "EAL: A Toolkit and Dataset for Entity-Aspect Linking" - JCDL 2019 ([data](https://federiconanni.com/eal-d/), [code](https://github.com/jinggz/Master-Thesis-EAL/tree/service), [demo](http://tools.dws.informatik.uni-mannheim.de/eal))
- "Integrating Local Context and Global Cohesiveness for Open Information Extraction" - WSDM 2019 ([code](https://github.com/GentleZhu/ReMine))
- "Open Information Extraction from Question-Answer Pairs" - NAACL 2019
- "OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference" - NAACL 2019 ([data](https://github.com/zhangdongxu/relation-inference-naacl19))
- "OpenCeres: When Open Information Extraction Meets the Semi-Structured Web" - NAACL 2019 ([video](https://vimeo.com/355837778), [slides](https://homes.cs.washington.edu/~lockardc/OpenCeres_NAACL_talk.pdf), [data](https://archive.codeplex.com/?p=swde))
- "Improving Open Information Extraction via Iterative Rank-Aware Learning" - ACL 2019 ([code](https://github.com/jzbjyb/oie_rank))
- "Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data" - EMNLP 2019
- "Supervising Unsupervised Open Information Extraction Models" - EMNLP 2019
- "CaRB: A Crowdsourced Benchmark for Open IE" - EMNLP 2019 ([code and data](https://github.com/dair-iitd/CaRB))
- "CaRe: Open Knowledge Graph Embeddings" - EMNLP 2019 ([code](https://github.com/malllabiisc/CaRE))
- "Collaborative Policy Learning for Open Knowledge Graph Reasoning" - EMNLP 2019 ([code](https://github.com/INK-USC/CPL))
- "Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text" - EMNLP 2019
- "The Role of "Condition": A Novel Scientific Knowledge Graph Representation and Construction Model" - KDD 2019
- "Canonicalization of Open Knowledge Bases with Side Information from the Source Text" - ICDE 2019
- "Open Relation Extraction for Chinese Noun Phrases" - TKDE 2019
- "Divide and Extract – Disentangling Clause Splitting and Proposition Extraction" - RANLP 2019
- "Exploiting Open IE for Deriving Multiple Premises Entailment Corpus" - RANLP 2019
- "Lexicon-Grammar based Open Information Extraction from Natural Language Sentences in Italian" - Expert Systems and Applications 2019
- "Weakly Supervised, Data-Driven Acquisition of Rules for Open Information Extraction" - CAIAC 2019
- "Aligning Open IE Relations and KB Relations using a Siamese Network Based on Word Embedding" - ICCS 2019
- *"Contextualized Word Embeddings in a Neural Open Information Extraction Model"* - NLDB 2019
- *"Multilingual Open Information Extraction: Challenges and Opportunities"* - Information 10(7): 228, 2019
- *"CTGA: Graph-based Biomedical Literature Search"* - IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
- *"When Lexicon-Grammar Meets Open Information Extraction: a Computational Experiment for Italian Sentences"* - CLiC-it 2019
- *"Towards a gold standard dataset for Open Information Extraction in Italian"* - SNAMS 2019
- *"Co-Clustering Triples from Open Information Extraction"* - COMAD 2019
- *Coherence and Salience-Based Multi-Document Relationship Mining* - APWeb-WAIM 2019
- "Learning Open Information Extraction of Implicit Relations from Reading Comprehension Datasets" - CoRR 2019
- *Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction* - EMNLP 2020
- *A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression* - EMNLP 2020 ([resources](https://sunbelbd.github.io/Open-Information-eXpression/))
- *Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction* - EMNLP 2020
- *SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction* - EMNLP 2020
- *"OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction"* - iitd/openie6)) - EMNLP 2020
- *"Multi2OIE: Multilingual Open Information Extraction based on Multi-Head Attention with BERT"* - ro/Multi2OIE)) - EMNLP 2020
- *"On Aligning OpenIE Extractions with Knowledge Bases: A Case Study"* - aligning-openie-extractions-with-knowledge-bases-a-case-study), [slides](https://www.uni-mannheim.de/media/Einrichtungen/dws/pi1/opiec/dsa-ota-talk-final.pdf), [resources](https://www.uni-mannheim.de/dws/research/resources/opiec/)) - Eval4NLP@EMNLP 2020
- *"IMoJIE: Iterative Memory-Based Joint Open Information Extraction"* - iitd/imojie), [video](https://slideslive.com/38929035/imojie-iterative-memorybased-joint-open-information-extraction)) - ACL 2020
- *"Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction"* - mannheim.de/dws/research/resources/olpbench/), [video](https://slideslive.com/38929433/can-we-predict-new-facts-with-open-knowledge-graph-embeddings-a-benchmark-for-open-link-prediction)) - ACL 2020
- *"Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts"* - interpretable-relationships-between-entities-relations-and-concepts-via-bayesian-structure-learning-on-open-domain-facts)) - ACL 2020
- *"In Layman’s Terms: Semi-Open Relation Extraction from Scientific Texts"* - laymans-terms-semiopen-relation-extraction-from-scientific-texts)) - ACL 2020
- "Span Model for Open Information Extraction on Accurate Corpus" - AAAI 2020
- "LOREM: Language-consistent Open Relation Extraction from Unstructured Text" - WWW 2020
- "Extracting Knowledge from Web Text with Monte Carlo Tree Search" - WWW 2020
- "MULCE: Multi-level Canonicalization with Embeddings of Open Knowledge Bases" - WISE 2020
- *An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information Extraction"* - SDM 2020
- "Chinese Open Relation Extraction with Pointer-Generator Networks" - DSC 2020
- Explainable OpenIE Classifier with Morpho-syntactic Rules" - HI4NLP@ECAI 2020
- *Language Models are Open Knowledge Graphs* - CoRR 2020
- *"Hybrid Neural Tagging Model for Open Relation Extraction"* - CoRR 2020 ([data](https://github.com/TJUNLP/NSL4OIE))
- *"Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network"* - CoRR 2020
- *"Tag and Correct: Question Aware Open Information Extraction with Two-Stage Decoding"* - CoRR 2020
- *"Abstractive Query Focused Summarization with Query-Free Resources"* - CoRR 2020
- *"Can we survive without labelled data in nlp? transfer learning for open information extraction"* - Applied Sciences 2020
- Open Information Extraction for Knowledge Graph Construction - DEXA 2020
- *"CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction"* - ACL 2021
- *"DocOIE: A Document-level Context-Aware Dataset for OpenIE"* - ACL 2021
- *"OKGIT: Open Knowledge Graph Link Prediction with Implicit Types"* - ACL 2021
- *"Maximal Clique Based Non-Autoregressive Open Information Extraction"* - EMNLP 2021
- *"Zero-Shot Information Extraction as a Unified Text to Triple Translation"* - EMNLP 2021 ([code](https://github.com/cgraywang/deepex))
- *"Open Knowledge Graphs Canonicalization using Variational Autoencoders"* - EMNLP 2021 ([code](https://github.com/IBM/Open-KG-canonicalization))
- *"LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction"* - EACL 2021 ([code and data](https://github.com/Jacobsolawetz/large-scale-oie))
- *"Open Hierarchical Relation Extraction"* - NAACL 2021 ([code](https://github.com/thunlp/OHRE))
- *"Semi-Open Information Extraction"* - WWW 2021
- *"Joint Open Knowledge Base Canonicalization and Linking"* - SIGMOD 2021
- *"TENET: Joint Entity and Relation Linking with Coherence Relaxation"* - SIGMOD 2021
- *"Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction"* - PAKDD 2021
- *"CaSIE: Canonicalize and Informative Selection of the OpenIE system"* - ICDE 2021
- PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine Translation" - Student Research Workshop @ EACL
- " Open-CyKG: An Open Cyber Threat Intelligence Knowledge Graph" - Knowledge-Based Systems 2021
- "Universal Dependencies for Multilingual Open Information Extraction" - 3rd Conference on Language, Data and Knowledge, LDK 2021
- *"BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation"* - ACL 2022 ([code](https://github.com/gkiril/benchie))
- *"MILIE: Modular & Iterative Multilingual Open Information Extraction"* - ACL 2022
- *Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction"* - ACL 2022 ([code](https://github.com/dair-iitd/moie))
- *"OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework"* - ACL 2022
- *"Open Relation Modeling: Learning to Define Relations between Entities"* - ACL 2022 ([code](https://github.com/jeffhj/open-relation-modeling))
- *"DeepStruct: Pretraining of Language Models for Structure Prediction"* - ACL 2022 ([code](https://github.com/cgraywang/deepstruct))
- *"AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark"* - ACL 2022 ([code](https://github.com/nfriedri/annie-annotation-platform))
- *"CompactIE: Compact Facts in Open Information Extraction"* - NAACL 2022 ([code](https://github.com/FarimaFatahi/CompactIE))
- *"DetIE: Multilingual Open Information Extraction Inspired by Object Detection"* - AAAI 2022 ([code](https://github.com/sberbank-ai/DetIE))
- *"A Survey on Neural Open Information Extraction: Current Status and Future Directions"* - IJCAI 2022
- *"Open Information Extraction from 2007 to 2022 – A Survey"* - CoRR 2022
- " PortNOIE: A Neural Framework for Open Information Extraction for the Portuguese Language"
- " LILLIE: Information extraction and database integration using linguistics and learning-based algorithms" - Information Systems 2022
- *"Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction"* - ACL 2022
- *"DeepStruct: Pretraining of Language Models for Structure Prediction "* - ACL 2022
- "Open Information Extraction Systems and Downstream Applications" - IJCAI 2016
- "A Survey on Open Information Extraction" - COLING 2018
- "A systematic mapping study on open information extraction" - Expert Syst. Appl. 2018
- " Uncovering Algorithmic Approaches in Open Information Extraction: A Literature Review." - 30th Benelux Conference on Artificial Intelligence 2018
- *"Multilingual Open Information Extraction: Challenges and Opportunities"* - Information 10(7): 228, 2019
- *"A Survey on Neural Open Information Extraction: Current Status and Future Directions"* - IJCAI 2022
- *"Open Information Extraction from 2007 to 2022 – A Survey"* - CoRR 2022
- "Creating a Large Benchmark for Open Information Extraction" - EMNLP 2016 ([code](https://github.com/gabrielStanovsky/oie-benchmark), [talk](https://vimeo.com/239251034))
- "An Informativeness Approach to Open IE Evaluation" - CICLing 2016 ([slides](http://www-etud.iro.umontreal.ca/~lechellw/papers/2016-CICLING.pdf), [code + data](http://www-etud.iro.umontreal.ca/~lechellw/data/CICLing_092.zip))
- "An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling" - IWCS 2017
- "An assessment of open relation extraction systems for the semantic web" - Inf. Syst. 71, 2017
- "RelVis: Benchmarking OpenIE Systems" - ISWC 2017
- "Analysing Errors of Open Information Extraction Systems" - Workshop on Building Linguistically Generalizable NLP Systems @ EMNLP 2017
- "Open Information Extraction on Scientific Text: An Evaluation" - COLING 2018
- "WiRe57 : A Fine-Grained Benchmark for Open Information Extraction" - CoRR 2018
- "CaRB: A Crowdsourced Benchmark for Open IE" - EMNLP 2019 ([code and data](https://github.com/dair-iitd/CaRB))
- *"Towards a gold standard dataset for Open Information Extraction in Italian"* - SNAMS 2019
- *Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction* - EMNLP 2020
- *"On Aligning OpenIE Extractions with Knowledge Bases: A Case Study"* - aligning-openie-extractions-with-knowledge-bases-a-case-study), [slides](https://www.uni-mannheim.de/media/Einrichtungen/dws/pi1/opiec/dsa-ota-talk-final.pdf), [resources](https://www.uni-mannheim.de/dws/research/resources/opiec/)) - Eval4NLP@EMNLP 2020
- *"BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation"* - ACL 2022 ([code](https://github.com/gkiril/benchie))
- *"Triple-Fact Retriever: An explainable reasoning retrieval model for multi-hop QA problem"* - ICDE 2022
- *"Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting"* - ACL 2021
- *"Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs"* - EMNLP 2019
- *"Assertion-based QA with Question-Aware Open Information Extraction"*
- "Answering Complex Questions Using Open Information Extraction" - ACL 2017
- *"Paraphrase-Driven Learning for Open Question Answering"*
- *"Open Information Extraction to KBP Relations in 3 Hours"* - TAC 2013
- "Leveraging Linguistic Structure For Open Domain Information Extraction" - ACL 2015 ([code (Java)](https://stanfordnlp.github.io/CoreNLP/openie.html), [code (Python)](https://github.com/philipperemy/Stanford-OpenIE-Python))
- "University of Washington System for 2015 KBP Cold Start Slot Filling" - TAC 2015
- "Combining Open IE and Distant Supervision for KBP Slot Filling" - TAC 2015
- "Open Relation Extraction and Grounding" - IJCNLP 2017
- *"Generating Coherent Event Schemas at Scale"* - EMNLP 2013
- *"Cross-document Event Identity via Dense Annotation"* - CoNLL 2021
- *"Facts That Matter"* - EMNLP 2018
- *"Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs"* - EMNLP 2019
- *"Coherence and Salience-Based Multi-Document Relationship Mining"* - APWeb-WAIM 2019
- *"FAR-ASS: Fact-aware reinforced abstractive sentence summarization"* - Information Processing & Management 2021
- *"Abstractive Query Focused Summarization with Query-Free Resources"* - CoRR 2020
- *"Summary Explorer: Visualizing the State of the Art in Text Summarization"* - EMNLP 2021
- *"Generating Query Focused Summaries from Query-Free Resources"* - ACL 2021
- *"Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters"* - NAACL 2021
- *"Focus on the Action: Learning to Highlight and Summarize Jointly for Email To-Do Items Summarization"* - ACL 2022
- *"FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations"* - NAACL 2022 ([code](https://github.com/amazon-research/fact-graph))
- *"Pocket Knowledge Base Population"* - ACL 2017
- *KBPearl: A Knowledge Base Population System Supported by Joint Entity and Relation Linking"* - PVLDB 2020
- "The Role of "Condition": A Novel Scientific Knowledge Graph Representation and Construction Model" - KDD 2019
- " Open-CyKG: An Open Cyber Threat Intelligence Knowledge Graph" - Knowledge-Based Systems 2021
- *"TENET: Joint Entity and Relation Linking with Coherence Relaxation"* - SIGMOD 2021
- *"TENET: Joint Entity and Relation Linking with Coherence Relaxation"* - SIGMOD 2021
- *"Capturing Knowledge in Semantically-typed Relational Patterns to Enhance Relation Linking"* - K-CAP 2017
- *"OKGIT: Open Knowledge Graph Link Prediction with Implicit Types"* - ACL 2021
- *"Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction"* - mannheim.de/dws/research/resources/olpbench/), [video](https://slideslive.com/38929433/can-we-predict-new-facts-with-open-knowledge-graph-embeddings-a-benchmark-for-open-link-prediction)) - ACL 2020
- *"RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information"* - EMNLP 2018
- *"Relating Legal Entities via Open Information Extraction"* - MTSR 2018
- *"Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge Graphs"* - AAAI 2022
- "Interventional Video Grounding With Dual Contrastive Learning" - CVPR 2021
- *"MILIE: Modular & Iterative Multilingual Open Information Extraction"* - ACL 2022
- *Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction"* - ACL 2022 ([code](https://github.com/dair-iitd/moie))
- *"DetIE: Multilingual Open Information Extraction Inspired by Object Detection"* - AAAI 2022 ([code](https://github.com/sberbank-ai/DetIE)
- *"Multi2OIE: Multilingual Open Information Extraction based on Multi-Head Attention with BERT"* - ro/Multi2OIE)) - EMNLP 2020
- "LOREM: Language-consistent Open Relation Extraction from Unstructured Text" - WWW 2020
- Explainable OpenIE Classifier with Morpho-syntactic Rules" - HI4NLP@ECAI 2020
- *"Multilingual Open Information Extraction: Challenges and Opportunities"* - Information 10(7): 228, 2019
- *"Multilingual Open Relation Extraction Using Cross-lingual Projection"* - HLT-NAACL 2015
- "MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models" - EACL 2017 ([code](https://github.com/sheng-z/cross-lingual-open-ie))
- *"Multilingual Open Information Extraction"* - EPIA 2015
- *"Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction"* - ACL 2022
- *"GerIE - An Open Information Extraction System for the German Language"* - J. UCS 2018
- *"Porting an Open Information Extraction System from English to German"* - EMNLP 2016 ([code](https://github.com/UKPLab/props-de))
- *"Challenges of an Annotation Task for Open Information Extraction in Portuguese"* - PROPOR 2018
- *"Inference Approach to Enhance a Portuguese Open Information Extraction"* - ICEIS 2017
- *"DependentIE: An Open Information Extraction system on Portuguese by a Dependence Analysis"* - ENIAC 2017
- " PortNOIE: A Neural Framework for Open Information Extraction for the Portuguese Language" - PROPOR 2022: 15th International Conference on Computational Processing of Portuguese
- "Open Information Extraction for Spanish Language based on Syntactic Constraints" - ACL (Student Research Workshop) (2014)
- "ZORE: A Syntax-based System for Chinese Open Relation Extraction" - EMNLP 2014
- "Chinese Open Relation Extraction and Knowledge Base Establishment" - ACM Trans. Asian & Low-Resource Lang. Inf. Process. 2018 ([slides](https://hong.xmu.edu.cn/__local/B/68/C0/92B8F8DC6AC06A3F256E1FE1A6F_9556CC90_4CCA5D.pdf?e=.pdf), [code](https://github.com/lemonhu/open-entity-relation-extraction))
- "Open Relation Extraction for Chinese Noun Phrases" - TKDE 2019
- "Chinese Open Relation Extraction with Pointer-Generator Networks" - DSC 2020
- *"Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction"* - PAKDD 2021
- *"RePersian:An Efficient Open Information Extraction Tool in Persian"* - ICWR 2020
- *"A recursive algorithm for open information extraction from Persian texts"* - IJCAT 2018
- *"Open information extraction as an intermediate semantic structure for Persian text summarization"* - Int. J. on Digital Libraries (2018)
- *"Parsa: An open information extraction system for Persian"* - DSH 2018
- "Lexicon-Grammar based Open Information Extraction from Natural Language Sentences in Italian" - Expert Systems and Applications 2019
- *"Towards a gold standard dataset for Open Information Extraction in Italian"* - SNAMS 2019
- Rule-based Indonesian Open Information Extraction" - ICAICTA 2018
- PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine Translation" - Student Research Workshop @ EACL
- *"Supervised Open Information Extraction"* - NAACL-HLT 2018
- *"Neural Open Information Extraction"* - ACL 2018
- "Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction" - WSDM 2018
- *"Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain"* - EMNLP 2018
- "Supervising Unsupervised Open Information Extraction Models" - EMNLP 2019
- *"Contextualized Word Embeddings in a Neural Open Information Extraction Model"* - NLDB 2019
- *"Weakly Supervised, Data-Driven Acquisition of Rules for Open Information Extraction"* - CAIAC 2019
- *"Learning Open Information Extraction of Implicit Relations from Reading Comprehension Datasets"* - CoRR 2019
- "Span Model for Open Information Extraction on Accurate Corpus" - AAAI 2020
- "Extracting Knowledge from Web Text with Monte Carlo Tree Search" - WWW 2020
- *An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information Extraction"* - SDM 2020
- *"Hybrid Neural Tagging Model for Open Relation Extraction"* - CoRR 2020 ([data](https://github.com/TJUNLP/NSL4OIE))
- *"IMoJIE: Iterative Memory-Based Joint Open Information Extraction"* - iitd/imojie)) - ACL 2020
- *"OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction"* - iitd/openie6)) - EMNLP 2020
- *Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction* - EMNLP 2020
- *"Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction"* - PAKDD 2021
- "Canonicalizing Open Knowledge Bases" - CIKM 2014
- "CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information" - WWW 2018 ([code](https://github.com/malllabiisc/cesi))
- "Towards Practical Open Knowledge Base Canonicalization" - CIKM 2018
- "CaRe: Open Knowledge Graph Embeddings" - EMNLP 2019 ([code](https://github.com/malllabiisc/CaRE))
- "Canonicalization of Open Knowledge Bases with Side Information from the Source Text" - ICDE 2019
- "MULCE: Multi-level Canonicalization with Embeddings of Open Knowledge Bases" - WISE 2020
- *"Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network"* - CoRR 2020
- *"Open Knowledge Graphs Canonicalization using Variational Autoencoders"* - EMNLP 2021 ([code](https://github.com/IBM/Open-KG-canonicalization))
- *"Joint Open Knowledge Base Canonicalization and Linking"* - SIGMOD 2021
- *"CaSIE: Canonicalize and Informative Selection of the OpenIE system"* - ICDE 2021
- *"Multi-View Clustering for Open Knowledge Base Canonicalization"* - KDD 2022
- \[pdf\
- \[pdf\ - muenchen.de/~fraser/information_extraction_2018_lecture/), by [Prof. Dr. Alexander Fraser](http://www.cis.uni-muenchen.de/~fraser/), from LMU München
- Open Information Extraction for QA
- \[pdf\
- \[pdf\
- \[pdf\ - 16.org/)
- \[pptx\ - WEKEX 2012](https://akbcwekex2012.wordpress.com/)
- \[pdf\ - inf.mpg.de/~corrogg/).
- \[pdf\
- \[pdf\
- \[pdf\ - etud.iro.umontreal.ca/~lechellw/), 2016
- *\[video\ - WEKEX 2012](https://akbcwekex2012.wordpress.com/).
- \[pptx\
- *\[video\
- *\[video\
- *\[video\
- *\[video\
- MinIE
- Python wrapper for MinIE
- MinScIE - an Open Information Extraction system which provides structured knowledge enriched with semantic information about citations (based on MinIE).
- SalIE - Salient Open Information Extraction (based on MinIE)
- ClausIE
- ClausIE (mavenized version)
- ClausIEpy
- OpenIE6
- IMoJIE - based OpenIE system
- OpenIE5
- OLLIE
- ReVerb
- Stanford OpenIE
- Stanford OpenIE Spider
- Python wrapper for Stanford OpenIE - platform Python wrapper for the state-of-art information extraction library from Stanford University.
- Graphene:
- EXEMPLAR
- DefIE:
- ReMine:
- Zhopenie - Chinese OIE
- Open Relation Extraction for Chinese
- Baaz
- MT/IE - lingual Open IE. Attention-based sequence-to-sequence model for cross-lingual open IE. Written in Python
- Relation Extraction on German Websites
- DptOIE:
- PragmaticOIE: - based approach to extract facts in **Portuguese** in a first pragmatic level
- CORE: - Aware Open Relation Extraction with Factorization Machines
- CESI:
- IMPLIE:
- Ranking: - Aware Open IE (confidence score).
- Zero-Shot Information Extraction as a Unified Text-to-Triple Translation: - Shot Information Extraction
- Open-CyKG: An Open Cyber Threat Intelligence Knowledge Graph: - based OIE, KG construction and canonicalization.
- BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens:
- DetIE: Multilingual Open Information Extraction Inspired by Object Detection:
- LILLIE: Information extraction and database integration using linguistics and learning-based algorithms: - based algorithms.
- CompactIE: Compact Facts in Open Information Extraction:
- DeepStruct: Pretraining of Language Models for Structure Prediction:
- Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction: - Augmented Consistent Translation for Multilingual Open Information Extraction.
- OPIEC: An Open Information Extraction Corpus: - data: each token from the subj / obj / rel along with NLP annotations (POS tag, NER tag, ...), provenance sentence along with the dependency parse, original (golden) left from Wikipedia, sentence order, space / time, etc.
- \[.gz\ - precision OIE extractions (826MB compressed) from the OIE system ReVerb. The extractions were made from the [ClueWeb09 corpus](https://lemurproject.org/clueweb09/). The data contains *(subject, relation, object)* triples, accompanied by a confidence score (estimating the likelihood of whether the triple was correctly extracted) and provenance information (the link of the web-page where the triple was extracted from).
- ReVerb extractions (linked) - precision ReVerb extractions). The links (to Freebase) are provided by an entity linker. The data fields are: *argument 1, relation phrase, argument 2, freebase ID for argument 1 link, corresponding freebase entity name, link score, link ambiguity score*
- PATTY
- WiseNet (1.0 and 2.0)
- KB-Unify - Unify takes as an input several OIE corpora and unifies them into a single disambiguated OIE repository. The open relations are organized into relational synsets and the arguments are disambiguated with BabelFy.
- Functional relations
- Entailment rules
- Entailment rules - Guided Linguistic Rewrites for Inference Rule Verification"*](http://www.cse.iitd.ac.in/~mausam/papers/naacl16b.pdf) published on NAACL-HLT, 2016.
- *"Compact Open Information Extraction: Methods, Corpora, Analysis"*
- *"Constructing Lexicons of Relational Phrases"*
- *"Methods for open information extraction and sense disambiguation on natural language text"*
- *"Automated Knowledge Base Extension Using Open Information"*
- *"Exploiting Knowledge in Unsupervised Open Information Extraction"*
- *"Open Information Extraction for the Web"*
- ClausIE:
- Fact retrieval:
Programming Languages
Keywords
information-extraction
6
open-information-extraction
5
natural-language-processing
4
nlp
4
natural-language-understanding
3
relation-extraction
3
extract-information
2
nlp-apis
2
nlp-resources
2
openie
2
dataset
2
extraction
1
web-corpus
1
sentence
1
fragments
1
stanford-parser
1
java-8
1
clausie
1
salience
1
cesi
1
natural-language-toolkit
1
paper
1
embeddings
1
nlp-library
1
knowledge-graph
1
knowledge-graph-embeddings
1
www
1
benchmark-framework
1
nlp-datasets
1
tensorflow
1
sequence-to-sequence
1
language-processing
1
cross-lingual
1
python3
1
paper-implementations
1
open-domain
1
knowledge-extraction
1
knowledge-base
1
entity-relation
1
semantic-web
1
chinese-nlp
1
chinese
1
canonicalization
1
extracts-relations
1
exemplar
1
stanford-openie
1
stanford
1
python-wrapper
1