A very simple framework for state-of-the-art Natural Language Processing (NLP)
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Updated
Aug 7, 2024 - Python
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Annotated constituency treebank library
Annotated Sentence Processing Library
Semantic Role Labeling Interface and Automatic Annotation Algorithms
Semantic Role Labeling Interface and Automatic Annotation Algorithms
Semantic Role Labeling Interface and Automatic Annotation Algorithms
Semantic Role Labeling Interface and Automatic Annotation Algorithms
Semantic Role Labeling Interface and Automatic Annotation Algorithms
VELOCITI Benchmark Evaluation and Visualisation Code
A study on Knowledge-based question generation from images. Undergraduate Thesis for 2023-2024.
A multilingual open-text semantically annotated interlinked corpus
Annotated constituency treebank library
AnnotatedSentence Processing Library
Annotated Sentence Processing Library
Annotated Sentence Processing Library
This is a meta-model distilled from LLMs for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.
Developed an SRL system using statistical and neural models to label semantic roles in Hindi sentences. Achieved up to 95.34% accuracy using IndicBERT and BiLSTM. Includes datasets, code, and model files.
Classification dataset generator library for high level Nlp tasks
Implementation of our ACL 2020 paper: Structured Tuning for Semantic Role Labeling
The Mingled Structured Predictor
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