Skip to content

Latest commit

 

History

History
90 lines (90 loc) · 5.96 KB

README.md

File metadata and controls

90 lines (90 loc) · 5.96 KB

ETE

Some papers on event time embedding, including event time relationship extraction, time segment extraction, time segment prediction.

Methodologies

Time embedding

Year Source Methods
2018 ACL TempRels
2019 ACL Timex
2021 ACL-IJCNLP Curcature

Event-Event temporal relation extraction

Year Source Methods
2018 KDD CCMs
2019 CORR CaTeRS
2020 EMNLP TORQUE
2021 EMNLP Stack-Propagation
2021 ACL TIMERS
2022 ACL DocTime

Event time argument extraction

Year Source Methods
2016 ACL TemAnchoring
2017 ACL SynTime
2018 EMNLP CogCompTime
2018 ACL DecisionTree
2021 ACL 4-tuple
2021 arxiv STAGE

Event-Event temporal relation prediction

Year Source Methods

Event time argument prediction

Year Source Methods
2020 EMNLP TIMEPLEX
2020 ACL TACOLM
2021 K-CAP TIME2BOX
2021 ACL TTE
2021 ACL-IJCNLP DeepHit
2022 ACL VerbalAspect

Time knowledge graph completion

Year Source Methods
2020 ICLR TNTComplEx
2020 EMNLP RE-NET
2021 AAAI CyGNet
2021 KDD T-GAP

Papers

Time embedding

  • Qiang Ning, Hao Wu, and Dan Roth. "A Multi-Axis Annotation Scheme for Event Temporal Relations". ACL, 2018.
  • Tanya Goyal and Greg Durrett. "Embedding time expressions for deep temporal ordering models". ACL, 2019.
  • Sebastien Montella. "Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures". ACL-IJCNLP, 2021.
  • Kaspar Beelen, Federico Nanni, Mariona Coll Ardanuy, Kasra Hosseini, Giorgia Tolfo, and Barbara McGillivray. "When Time Makes Sense: A Historically-Aware Approach to Targeted Sense Disambiguation". ACL-IJCNLP, 2021.

Event-Event temporal relation extraction

  • Qiang Ning, Zhili Feng, Hao Wu, Dan Roth. "Joint Reasoning for Temporal and Causal Relations". ACL, 2018.
  • Rujun Han, Mengyue Liang, Bashar Alhafni, and Nanyun Peng. "Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding". CoRR, 2019.
  • Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, and Dan Roth. "TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions". EMNLP, 2020.
  • Haoyang Wen and Heng Ji. "Utilizing Relative Event Time to Enhance Event-Event Temporal Relation Extraction". EMNLP, 2021.
  • Puneet Mathur, Rajiv Jain, Franck Dernoncourt, Vlad Morariu, Quan Hung Tran, and Dinesh Manocha. "TIMERS: Document-level Temporal Relation Extraction". ACL, 2021.
  • Aman Madaan and Yiming Yang. "Neural Language Modeling for Contextualized Temporal Graph Generation". NAACL, 2021.
  • Puneet Mathur, Vlad I Morariu, Verena Kaynig-Fittkau, Jiuxiang Gu, Franck Dernoncourt, Quan Hung Tran, Ani Nenkova,Dinesh Manocha, and Rajiv Jain. "DocTime: A Document-level Temporal Dependency Graph Parser". ACL, 2022.

Event time argument extraction

  • Nils Reimers, Nazanin Dehghani, Iryna Gurevych. "Temporal Anchoring of Events for the TimeBank Corpus". ACL, 2016.
  • Xiaoshi Zhong, Aixin Sun, and Erik Cambria. "Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules". ACL 2017.
  • Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth. "CogCompTime: A Tool for Understanding Time in Natural Language". EMNLP, 2018.
  • Nils Reimers, Nazanin Dehghani, Iryna Gurevych. "Event Time Extraction with a Decision Tree of Neural Classifiers". ACL, 2018.
  • Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avirup Sil, Hanghang Tong, Dan Roth. "Event Time Extraction and Propagation via Graph Attention Networks". ACL, 2021.
  • Luke Breitfeller, Aakanksha Naik, and Carolyn Rose. "STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Models". Arxiv, 2021.

Event-Event temporal relation prediction

  • Qiang Ning, Sanjay Subramanian, and Dan Roth. "An Improved Neural Baseline for Temporal Relation Extraction". EMNLP, 2019.

Event time argument prediction

  • Prachi Jain, Sushant Rathi, Mausam, and Soumen Chakrabarti. "Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols". EMNLP, 2020.
  • Ben Zhou, Qiang Ning, Daniel Khashabi, and Dan Roth. "Temporal Common Sense Acquisition with Minimal Supervision". ACL, 2020.
  • Ling Cai, Krzysztof Janowicz, Bo Yan, Rui Zhu, and Gengchen Mai. "Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes". K-CAP, 2021.
  • Nazanin Dehghani, Hassan Hajipoor, Hadi Amiri. "Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event". ACL, 2021.
  • Eleni Metheniti, Tim Van de Cruys, and Nabil Hathout. "About Time: Do Transformers Learn Temporal Verbal Aspect?". ACL, 2021.
  • Lianhui Qin, Aditya Gupta, Shyam Upadhyay, Luheng He, Yejin Choi, Manaal Faruqui. "TIMEDIAL: Temporal Commonsense Reasoning in Dialog". ACL-IJCNLP, 2021.
  • Christine De Kock, Andreas Vlachos. "Survival text regression for time-to-event prediction in conversations". ACL-IJCNLP, 2021.

Time knowledge graph completion

  • Timothee Lacroix, Guillaume Obozinski, and Nicolas Usunier. "TENSOR DECOMPOSITIONS FOR TEMPORAL KNOWLEDGE BASE COMPLETION". 2020, ICLR.
  • Woojeong Jin, Meng Qu, Xisen Jin, and Xiang Ren. "Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs". EMNLP, 2020.
  • Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, and Yan Zhang. AAAI, 2021.
  • Jaehun Jung, Jinhong Jung, and U Kang. "Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion". KDD, 2021.