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Information extraction (IE) aims to extract structural knowledge from plain natural language texts.
Language models are few-shot learners
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DEGREE: A data-efficient generation-based event extraction model
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Information extraction supported question answering
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Visual attention model for name tagging in multimodal social media
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Introduction to the CoNLL-2003 shared task: Language-independent named entity recognition
Sang E T K, De Meulder F · 2003
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GENIA corpus - a semantically annotated corpus for bio-textmining
Kim J, Ohta T, Tateisi Y, Tsujii J · 2003
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A linear programming formulation for global inference in natural language tasks
Roth D, Yih W t · 2004
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The automatic content extraction (ACE) program - tasks, data, and evaluation
Doddington G R, Mitchell A, Przybocki M A, Ramshaw L A, Strassel S M, Weischedel R M · 2004
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Ace 2005 multilingual training corpus, 2006
Walker C, Strassel S, Medero J, Maeda K · 2006
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Modeling relations and their mentions without labeled text
Riedel S, Yao L, McCallum A · 2010
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SemEval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals
Hendrickx I, Kim S N, Kozareva Z, Nakov P, Séaghdha D Ó, Padó S, Pennacchiotti M, Romano L, Szpakowicz S · 2010
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Overview of Genia event task in BioNLP shared task 2011
Kim J, Wang Y, Takagi T, Yonezawa A · 2011
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Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports
Gurulingappa H, Rajput A M, Roberts A, Fluck J, Hofmann-Apitius M, Toldo L · 2012
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Asgard: A portable architecture for multilingual dialogue systems
Liu J, Pasupat P, Cyphers S, Glass J R · 2013
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Towards robust linguistic analysis using ontonotes
Pradhan S, Moschitti A, Xue N, Ng H T, Björkelund A, Uryupina O, Zhang Y, Zhong Z · 2013
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Task 1: ShARe/CLEF eHealth evaluation lab 2013
Pradhan S, Elhadad N, South B R, Martínez D, Christensen L M, Vogel A, Suominen H, Chapman W W, Savova G K · 2013
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The Genia event extraction shared task, 2013 edition - overview
Kim J, Wang Y, Yamamoto Y · 2013
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NCBI disease corpus: a resource for disease name recognition and concept normalization
Doğan R I, Leaman R, Lu Z · 2014
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Task 2: ShARe/CLEF eHealth evaluation lab 2014
Mowery D L, Velupillai S, South B R, Christensen L M, Martínez D, Kelly L, Goeuriot L, Elhadad N, Pradhan S, Savova G K, Chapman W W · 2014
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Cadec: A corpus of adverse drug event annotations
Karimi S, Metke-Jimenez A, Kemp M, Wang C · 2015
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Biocreative V CDR task corpus: a resource for chemical disease relation extraction
Li J, Sun Y, Johnson R J, Sciaky D, Wei C H, Leaman R, Davis A P, Mattingly C J, Wiegers T C, Lu Z · 2016
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Broad Twitter corpus: A diverse named entity recognition resource
Derczynski L, Bontcheva K, Roberts I · 2016
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Results of the WNUT2017 shared task on novel and emerging entity recognition
Derczynski L, Nichols E, Erp v M, Limsopatham N · 2017
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Position-aware attention and supervised data improve slot filling
Zhang Y, Zhong V, Chen D, Angeli G, Manning C D · 2017
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Adaptive co-attention network for named entity recognition in tweets
Zhang Q, Fu J, Liu X, Huang X · 2018
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Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction
Luan Y, He L, Ostendorf M, Hajishirzi H · 2018
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Collaborative policy learning for open knowledge graph reasoning
Fu C, Chen T, Qu M, Jin W, Ren X · 2019
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CrossWeigh: Training named entity tagger from imperfect annotations
Wang Z, Shang J, Liu L, Lu L, Liu J, Han J · 2019
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DocRED: A large-scale document-level relation extraction dataset
Yao Y, Ye D, Li P, Han X, Lin Y, Liu Z, Liu Z, Huang L, Zhou J, Sun M · 2019
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Language models are unsupervised multitask learners
Radford A, Wu J, Child R, Luan D, Amodei D, Sutskever I, others · 2019
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Abductive commonsense reasoning
Bhagavatula C, Bras R L, Malaviya C, Sakaguchi K, Holtzman A, Rashkin H, Downey D, Yih t W, Choi Y · 2020
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The pile: An 800gb dataset of diverse text for language modeling
Gao L, Biderman S, Black S, Golding L, Hoppe T, Foster C, Phang J, He H, Thite A, Nabeshima N, others · 2020
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Temporally-informed analysis of named entity recognition
Rijhwani S, Preotiuc-Pietro D · 2020
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TACRED revisited: A thorough evaluation of the TACRED relation extraction task
Alt C, Gabryszak A, Hennig L · 2020
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CASIE: extracting cybersecurity event information from text
Satyapanich T, Ferraro F, Finin T · 2020
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Multi-sentence argument linking
Ebner S, Xia P, Culkin R, Rawlins K, Durme B V · 2020
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Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Lewis M, Liu Y, Goyal N, Ghazvininejad M, Mohamed A, Levy O, Stoyanov V, Zettlemoyer L · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Raffel C, Shazeer N, Roberts A, Lee K, Narang S, Matena M, Zhou Y, Li W, Liu P J · 2020
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Structured prediction as translation between augmented natural languages
Paolini G, Athiwaratkun B, Krone J, Ma J, Achille A, Anubhai R, Santos d C N, Xiang B, Soatto S · 2021
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A unified generative framework for various NER subtasks
Yan H, Gui T, Dai J, Guo Q, Zhang Z, Qiu X · 2021
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Document-level entity-based extraction as template generation
Huang K H, Tang S, Peng N · 2021
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REBEL: Relation extraction by end-to-end language generation
Cabot P L H, Navigli R · 2021
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Named entity recognition and relation extraction: State-of-the-art
Nasar Z, Jaffry S W, Malik M K · 2021
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Template-based named entity recognition using BART
Cui L, Wu Y, Liu J, Yang S, Zhang Y · 2021
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Unleash GPT-2 power for event detection
Veyseh A P B, Lai V, Dernoncourt F, Nguyen T H · 2021
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Document-level event argument extraction by conditional generation
Li S, Ji H, Han J · 2021
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Text2Event: Controllable sequence-to-structure generation for end-to-end event extraction
Lu Y, Lin H, Xu J, Han X, Tang J, Li A, Sun L, Liao M, Chen S · 2021
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Few-shot named entity recognition: An empirical baseline study
Huang J, Li C, Subudhi K, Jose D, Balakrishnan S, Chen W, Peng B, Gao J, Han J · 2021
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CrossNER: Evaluating cross-domain named entity recognition
Liu Z, Xu Y, Yu T, Dai W, Ji Z, Cahyawijaya S, Madotto A, Fung P · 2021
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Few-NERD: A few-shot named entity recognition dataset
Ding N, Xu G, Chen Y, Wang X, Han X, Xie P, Zheng H, Liu Z · 2021
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MNRE: A challenge multimodal dataset for neural relation extraction with visual evidence in social media posts
Zheng C, Wu Z, Feng J, Fu Z, Cai Y · 2021
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Re-tacred: Addressing shortcomings of the TACRED dataset
Stoica G, Platanios E A, Póczos B · 2021
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Document-level event argument extraction by conditional generation
Li S, Ji H, Han J · 2021
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mT5: A massively multilingual pre-trained text-to-text transformer
Xue L, Constant N, Roberts A, Kale M, Al-Rfou R, Siddhant A, Barua A, Raffel C · 2021
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Mesh-Transformer-JAX: Model-parallel implementation of Transformer language model with JAX, 2021
Wang B · 2021
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Unified structure generation for universal information extraction
Lu Y, Liu Q, Dai D, Xiao X, Lin H, Han X, Sun L, Wu H · 2022
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A survey on neural open information extraction: Current status and future directions
Zhou S, Yu B, Sun A, Long C, Li J, Sun J · 2022
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GenIE: Generative information extraction
Josifoski M, De Cao N, Peyrard M, Petroni F, West R · 2022
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LasUIE: Unifying information extraction with latent adaptive structure-aware generative language model
Fei H, Wu S, Li J, Li B, Li F, Qin L, Zhang M, Zhang M, Chua T S · 2022
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Generative knowledge graph construction: A review
Ye H, Zhang N, Chen H, Chen H · 2022
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Generative entity typing with curriculum learning
Yuan S, Yang D, Liang J, Li Z, Liu J, Huang J, Xiao Y · 2022
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De-bias for generative extraction in unified NER task
Zhang S, Shen Y, Tan Z, Wu Y, Lu W · 2022
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InstructionNER: A multi-task instruction-based generative framework for few-shot NER
Wang L, Li R, Yan Y, Yan Y, Wang S, Wu W, Xu W · 2022
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DORE: document ordered relation extraction based on generative framework
Guo Q, Yang Y, Yan H, Qiu X, Zhang Z · 2022
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Claret: Pre-training a correlation-aware context-to-event transformer for event-centric generation and classification
Zhou Y, Shen T, Geng X, Long G, Jiang D · 2022
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Multilingual generative language models for zero-shot cross-lingual event argument extraction
Huang K H, Hsu I, Natarajan P, Chang K W, Peng N, others · 2022
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Prompt for extraction? PAIE: Prompting argument interaction for event argument extraction
Ma Y, Wang Z, Cao Y, Li M, Chen M, Wang K, Shao J · 2022
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Dynamic prefix-tuning for generative template-based event extraction
Liu X, Huang H Y, Shi G, Wang B · 2022
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DeepStruct: Pretraining of language models for structure prediction
Wang C, Liu X, Chen Z, Hong H, Tang J, Song D · 2022
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Autoregressive structured prediction with language models
Liu T, Jiang Y E, Monath N, Cotterell R, Sachan M · 2022
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LightNER: A lightweight tuning paradigm for low-resource NER via pluggable prompting
Chen X, Li L, Deng S, Tan C, Xu C, Huang F, Si L, Chen H, Zhang N · 2022
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Structured information extraction from complex scientific text with fine-tuned large language models
Dunn A, Dagdelen J, Walker N, Lee S, Rosen A S, Ceder G, Persson K, Jain A · 2022
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Large language models are few-shot clinical information extractors
Agrawal M, Hegselmann S, Lang H, Kim Y, Sontag D · 2022
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Thinking about GPT-3 in-context learning for biomedical IE? think again
Gutiérrez B J, McNeal N, Washington C, Chen Y, Li L, Sun H, Su Y · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Wei J, Wang X, Schuurmans D, Bosma M, Xia F, Chi E, Le Q V, Zhou D, others · 2022
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Large language models are zero-shot reasoners
Kojima T, Gu S S, Reid M, Matsuo Y, Iwasawa Y · 2022
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”FabNER”: information extraction from manufacturing process science domain literature using named entity recognition
Kumar A, Starly B · 2022
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Crossroads, buildings and neighborhoods: A dataset for fine-grained location recognition
Chen P, Xu H, Zhang C, Huang R · 2022
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MultiNERD: A multilingual, multi-genre and fine-grained dataset for named entity recognition (and disambiguation)
Tedeschi S, Navigli R · 2022
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Annotating the Tweebank corpus on named entity recognition and building NLP models for social media analysis
Jiang H, Hua Y, Beeferman D, Roy D · 2022
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Named entity recognition in twitter: A dataset and analysis on short-term temporal shifts
Ushio A, Barbieri F, Silva V, Neves L, Camacho-Collados J · 2022
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WikiDiverse: A multimodal entity linking dataset with diversified contextual topics and entity types
Wang X, Tian J, Gui M, Li Z, Wang R, Yan M, Chen L, Xiao Y · 2022
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PHEE: A dataset for pharmacovigilance event extraction from text
Sun Z, Li J, Pergola G, Wallace B C, John B, Greene N, Kim J, He Y · 2022
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Scaling instruction-finetuned language models
Chung H W, Hou L, Longpre S, Zoph B, Tay Y, Fedus W, Li Y, Wang X, Dehghani M, Brahma S, others · 2022
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Glm: General language model pretraining with autoregressive blank infilling
Du Z, Qian Y, Liu X, Ding M, Qiu J, Yang Z, Tang J · 2022
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Training language models to follow instructions with human feedback
Ouyang L, Wu J, Jiang X, Almeida D, Wainwright C, Mishkin P, Zhang C, Agarwal S, Slama K, Ray A, others · 2022
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A comprehensive survey on automatic knowledge graph construction
Zhong L, Wu J, Li Q, Peng H, Wu X · 2023
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InstructUIE: Multi-task instruction tuning for unified information extraction
Wang X, Zhou W, Zu C, Xia H, Chen T, Zhang Y, Zheng R, Ye J, Zhang Q, Gui T, others · 2023
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Retrieval-augmented code generation for universal information extraction
Guo Y, Li Z, Jin X, Liu Y, Zeng Y, Liu W, Li X, Yang P, Bai L, Guo J, others · 2023
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Contextualized hybrid prompt-tuning for generation-based event extraction
Zhong Y, Xu T, Luo P · 2023
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Achiam J, Adler S, Agarwal S, Ahmad L, Akkaya I, Aleman F L, Almeida D, Altenschmidt J, Altman S, Anadkat S, others · 2023
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Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
Liu P, Yuan W, Fu J, Jiang Z, Hayashi H, Neubig G · 2023
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A unified framework for multi-domain ctr prediction via large language models
Fu Z, Li X, Wu C, Wang Y, Dong K, Zhao X, Zhao M, Guo H, Tang R · 2023
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Agent4ranking: Semantic robust ranking via personalized query rewriting using multi-agent llm
Li X, Su L, Jia P, Zhao X, Cheng S, Wang J, Yin D · 2023
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Preserving knowledge invariance: Rethinking robustness evaluation of open information extraction
Qi J, Zhang C, Wang X, Zeng K, Yu J, Liu J, Hou L, Li J, Bin X · 2023
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HEProto: A hierarchical enhancing protonet based on multi-task learning for few-shot named entity recognition
Chen W, Zhao L, Luo P, Xu T, Zheng Y, Chen E · 2023
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Universal information extraction as unified semantic matching
Lou J, Lu Y, Dai D, Jia W, Lin H, Han X, Sun L, Wu H · 2023
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Gan C, Zhang Q, Mori T · 2023
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Ashok D, Lipton Z C · 2023
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Cai Z, Kung P N, Suvarna A, Ma M D, Bansal H, Chang B, Brantingham P J, Wang W, Peng N · 2024
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Keyee: Enhancing low-resource generative event extraction with auxiliary keyword sub-prompt
Duan J, Liao X, An Y, Wang J · 2024
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Beyond single-event extraction: Towards efficient document-level multi-event argument extraction
Liu W, Zhou L, Zeng D, Xiao Y, Cheng S, Zhang C, Lee G, Zhang M, Chen W · 2024
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Zhang X F, Blum C, Choji T, Shah S, Vempala A · 2024
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Leveraging ChatGPT in pharmacovigilance event extraction: An empirical study
Sun Z, Pergola G, Wallace B, He Y · 2024
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LLMs learn task heuristics from demonstrations: A heuristic-driven prompting strategy for document-level event argument extraction
Zhou H, Qian J, Feng Z, Hui L, Zhu Z, Mao K · 2024
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Eventrl: Enhancing event extraction with outcome supervision for large language models
Gao J, Zhao H, Wang W, Yu C, Xu R · 2024
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Textee: Benchmark, reevaluation, reflections, and future challenges in event extraction
Huang K H, Hsu I H, Parekh T, Xie Z, Zhang Z, Natarajan P, Chang K W, Peng N, Ji H · 2024
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Techgpt-2.0: A large language model project to solve the task of knowledge graph construction
Wang J, Chang Y, Li Z, An N, Ma Q, Hei L, Luo H, Lu Y, Ren F · 2024
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Chatuie: Exploring chat-based unified information extraction using large language models
Xu J, Sun M, Zhang Z, Zhou J · 2024
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IEPile: Unearthing large scale schema-conditioned information extraction corpus
Gui H, Yuan L, Ye H, Zhang N, Sun M, Liang L, Chen H · 2024
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Diluie: constructing diverse demonstrations of in-context learning with large language model for unified information extraction
Guo Q, Guo Y, Zhao J · 2024
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CodeKGC: Code language model for generative knowledge graph construction
Bi Z, Chen J, Jiang Y, Xiong F, Guo W, Chen H, Zhang N · 2024
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KnowCoder: Coding structured knowledge into LLMs for universal information extraction
Li Z, Zeng Y, Zuo Y, Ren W, Liu W, Su M, Guo Y, Liu Y, Lixiang L, Hu Z, Bai L, Li W, Liu Y, Yang P, Jin X, Guo J, Cheng X · 2024
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Astro-ner–astronomy named entity recognition: Is gpt a good domain expert annotator?
Evans J, Sadruddin S, D’Souza J · 2024
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Augmenting ner datasets with llms: Towards automated and refined annotation
Naraki Y, Yamaki R, Ikeda Y, Horie T, Naganuma H · 2024
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Improving large language models for clinical named entity recognition via prompt engineering
Hu Y, Chen Q, Du J, Peng X, Keloth V K, Zuo X, Zhou Y, Li Z, Jiang X, Lu Z, others · 2024
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Astronomical knowledge entity extraction in astrophysics journal articles via large language models
Shao W, Zhang R, Ji P, Fan D, Hu Y, Yan X, Cui C, Tao Y, Mi L, Chen L · 2024
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Know-adapter: Towards knowledge-aware parameter-efficient transfer learning for few-shot named entity recognition
Nie B, Shao Y, Wang Y · 2024
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Llms in biomedicine: A study on clinical named entity recognition
Monajatipoor M, Yang J, Stremmel J, Emami M, Mohaghegh F, Rouhsedaghat M, Chang K W · 2024
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Structured information extraction from scientific text with large language models
Dagdelen J, Dunn A, Lee S, Walker N, Rosen A S, Ceder G, Persson K A, Jain A · 2024
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Biana J, Zhai W, Huang X, Zheng J, Zhu S · 2024
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A survey on large language models for recommendation
Wu L, Zheng Z, Qiu Z, Wang H, Gu H, Shen T, Qin C, Zhu C, Zhu H, Liu Q, others · 2024
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Tomgpt: Reliable text-only training approach for cost-effective multi-modal large language model
Chen Y, Wang Q, Wu S, Gao Y, Xu T, Hu Y · 2024
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Bridging gaps in content and knowledge for multimodal entity linking
Luo P, Xu T, Liu C, Zhang S, Xu L, Li M, Chen E · 2024
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Yang H, Zhao X, Huang S, Li Q, Xu G · 2024
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Zhao H, Zheng S, Wu L, Yu B, Wang J · 2024
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Exploring large language model for graph data understanding in online job recommendations
Wu L, Qiu Z, Zheng Z, Zhu H, Chen E · 2024
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Harnessing large language models for text-rich sequential recommendation
Zheng Z, Chao W, Qiu Z, Zhu H, Xiong H · 2024
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Dynllm: When large language models meet dynamic graph recommendation
Zhao Z, Lin F, Zhu X, Zheng Z, Xu T, Shen S, Li X, Yin Z, Chen E · 2024
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Multi-perspective improvement of knowledge graph completion with large language models
Xu D, Zhang Z, Lin Z, Wu X, Zhu Z, Xu T, Zhao X, Zheng Y, Chen E · 2024
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Visualization recommendation with prompt-based reprogramming of large language models
Li X, Zhou J, Chen W, Xu D, Xu T, Chen E · 2024
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Speak from heart: An emotion-guided llm-based multimodal method for emotional dialogue generation
Liu C, Xie Z, Zhao S, Zhou J, Xu T, Li M, Chen E · 2024
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Dr. e bridges graphs with large language models through words
Liu Z, Wu L, He M, Guan Z, Zhao H, Feng N · 2024
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Langtopo: Aligning language descriptions of graphs with tokenized topological modeling
Guan Z, Zhao H, Wu L, He M, Fan J · 2024
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Scaling up multivariate time series pre-training with decoupled spatial-temporal representations
Zha R, Zhang L, Li S, Zhou J, Xu T, Xiong H, Chen E · 2024
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Comi: Correct and mitigate shortcut learning behavior in deep neural networks
Zhao L, Liu Q, Yue L, Chen W, Chen L, Sun R, Song C · 2024
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When box meets graph neural network in tag-aware recommendation
Lin F, Zhao Z, Zhu X, Zhang D, Shen S, Li X, Xu T, Zhang S, Chen E · 2024
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When moe meets llms: Parameter efficient fine-tuning for multi-task medical applications
Liu Q, Wu X, Zhao X, Zhu Y, Xu D, Tian F, Zheng Y · 2024
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Large language model distilling medication recommendation model
Liu Q, Wu X, Zhao X, Zhu Y, Zhang Z, Tian F, Zheng Y · 2024
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Llm4msr: An llm-enhanced paradigm for multi-scenario recommendation
Wang Y, Wang Y, Fu Z, Li X, Zhao X, Guo H, Tang R · 2024
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Recommender systems in the era of large language models (llms)
Zhao Z, Fan W, Li J, Liu Y, Mei X, Wang Y, Wen Z, Wang F, Zhao X, Tang J, Li Q · 2024
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