lyj963's starred repositories
EventStoryLine
Event StoryLine Corpus - annotated data, baselines and evaluation scripts, evaluation data.
Fine-grained-Causal-Reasoning
We introduce a novel fine-grained causal reasoning dataset and present a series of novel tasks in NLP, from causality detection to event causality extraction and Causal QA. Our dataset contains human annotations of 25K cause-effect event pairs and 24K question-answering pairs within multi-sentence samples.
Person-Location-Time-Association-by-Classification
Relation Extraction (spatial and temporal together, person-location-time ) from raw web news text in different languages(English, German, Hindi). Different Natural Language Processing techniques and Machine Learning techniques are exercised. Feature Engineering was the most critical part that I already designed common to all experimenting languages. Experimented with Support Vector Machines and later Ensemble Learning. Before that I designed specialized annotation scheme to be applied on collected web data and finally collected in extensible markup language format for further application and improvement.
ETEREX-REBEL
End-to-end Temporal Relation Extraction in the clinical domain as a sequence-to-sequence task with the REBEL framework. (Text2Story 2023)
SPTempRels
Structured Learning for Temporal Relation Extraction from Clinical Records (EACL, 2017)
WLLETlinkClassification
Code for the COLING 2018 paper "Word-Level Loss Extensions for Neural Temporal Relation Classification"
EMNLP-2019
Codebase for EMNLP 2019 Paper
NeuralTemporalRelation-EMNLP19
CogCompTime 2.0
temporal-relation-annotation
Group project on annotating temporal relations in natural language data. Includes guidelines, instructions, gold standard, baseline model, and report.
Ling575-MRS-TemporalRelationExtension
An extension to ClearTK's time-ml module for temporal relation extraction
Improved-TRN
Improved Temporal Relation Network
TemporalRE
Temporal Relation prediction models using Convolutional Neural Networks
SPTempRels
<<Code>> Structured Learning for Temporal Relation Extraction from Clinical Records (EACL, 2017).
Relation-Temporal-Extraction
This is a silver data generator, which refers to the paper "Severing the Edge Between Before and After Neural" by Amazon AI.