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Exploring Contextualized Neural Language Models for Temporal Dependency Parsing
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
30 April 2020
Hayley L Ross
Jon Z. Cai
Bonan Min
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Papers citing
"Exploring Contextualized Neural Language Models for Temporal Dependency Parsing"
6 / 6 papers shown
Transformer-Based Temporal Information Extraction and Application: A Review
Xin Su
Phillip Howard
Steven Bethard
360
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0
10 Apr 2025
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems
Jing Yang
Yu Zhao
Linyao Yang
Xiao Wang
Long Chen
Fei-Yue Wang
LRM
521
5
0
21 Jun 2024
Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Xin Su
Phillip Howard
Nagib Hakim
Steven Bethard
351
4
0
30 Oct 2023
Modeling Document-level Temporal Structures for Building Temporal Dependency Graphs
Prafulla Kumar Choubey
Ruihong Huang
145
3
0
21 Oct 2022
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
ACM Computing Surveys (CSUR), 2021
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MA
VLM
AI4CE
534
1,463
0
01 Nov 2021
A Survey on Deep Learning Event Extraction: Approaches and Applications
Qian Li
Jianxin Li
Shuaiyi Nie
Shiyao Cui
Hongzhi Zhang
...
Hao Peng
Shu Guo
Lihong Wang
Amin Beheshti
Philip S. Yu
357
69
0
05 Jul 2021
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