Temporal Relation Extraction

13 papers with code • 0 benchmarks • 2 datasets

Temporal relation extraction systems aim to identify and classify the temporal relation between a pair of entities provided in a text. For instance, in the sentence "Bob sent a message to Alice while she was leaving her birthday party." one can infer that the actions "sent" and "leaving" entails a temporal relation that can be described as "simultaneous".

Libraries

Use these libraries to find Temporal Relation Extraction models and implementations

Most implemented papers

TempEval-3: Evaluating Events, Time Expressions, and Temporal Relations

naushadzaman/tempeval3_toolkit 22 Jun 2012

We describe the TempEval-3 task which is currently in preparation for the SemEval-2013 evaluation exercise.

Effective Distant Supervision for Temporal Relation Extraction

xyz-zy/xdomain-temprel EACL (AdaptNLP) 2021

A principal barrier to training temporal relation extraction models in new domains is the lack of varied, high quality examples and the challenge of collecting more.

Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference

yuyanislearning/CTRL-PG 16 Dec 2020

There has been a steady need in the medical community to precisely extract the temporal relations between clinical events.

Are Transformers Effective for Time Series Forecasting?

cure-lab/ltsf-linear 26 May 2022

Recently, there has been a surge of Transformer-based solutions for the long-term time series forecasting (LTSF) task.

CATENA: CAusal and TEmporal relation extraction from NAtural language texts

paramitamirza/CATENA COLING 2016

The effects of the interaction between the temporal and the causal components, although limited, yield promising results and confirm the tight connection between the temporal and the causal dimension of texts.

Structured Learning for Temporal Relation Extraction from Clinical Records

tuur/SPTempRels EACL 2017

We propose a scalable structured learning model that jointly predicts temporal relations between events and temporal expressions (TLINKS), and the relation between these events and the document creation time (DCTR).

Word-Level Loss Extensions for Neural Temporal Relation Classification

tuur/WLLETlinkClassification COLING 2018

In this work, we extend our classification model's task loss with an unsupervised auxiliary loss on the word-embedding level of the model.

Deep Structured Neural Network for Event Temporal Relation Extraction

PlusLabNLP/Deep-Structured-EveEveTemp CONLL 2019

We propose a novel deep structured learning framework for event temporal relation extraction.

Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction

rujunhan/EMNLP-2020 EMNLP 2020

Extracting event temporal relations is a critical task for information extraction and plays an important role in natural language understanding.

EventPlus: A Temporal Event Understanding Pipeline

PlusLabNLP/EventPlus NAACL 2021

We present EventPlus, a temporal event understanding pipeline that integrates various state-of-the-art event understanding components including event trigger and type detection, event argument detection, event duration and temporal relation extraction.