Given 10 predefined relations like cause-effect, product-producer, etc., the goal was to define the relation and the direction of the relation between 2 entities in a sentence.
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Updated
Jun 16, 2020 - Python
Given 10 predefined relations like cause-effect, product-producer, etc., the goal was to define the relation and the direction of the relation between 2 entities in a sentence.
This repository contains the code of my solution for the SemEval-2022 Shared Task 10: Structured Sentiment Analysis.
Given 10 predefined relations like cause-effect, product-producer, etc, the goal was to define the relation and the direction of the relation b/w 2 entities in a sentence.
Argument classification with BERT plus contextual and structural features as text for ICONIP 2022.
Implementation of the link identification task in BERT.
Few-shot Learning Relation Classification
Implemantation of a BERT cascade model
The codebase of my R&D project (Spring 2021) under the supervision of Prof Soumen Chakrabarty at IIT Bombay
We classify the relation between head and tail entity using a Naive Bayes model based on bag-of-words (BoW) features.
Impoving Relation Extraction by Knowledge embedding Learning
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. EMNLP 2023.
Framework to train RE models
This repository contains our path generation framework Co-NNECT, in which we combine two models for establishing knowledge relations and paths between concepts from sentences, as a form of explicitation of implicit knowledge: COREC-LM (COmmonsense knowledge RElation Classification using Language Models), a relation classification system that we …
The aim of the project is to perform joint classification of temporal and causal relations between two events that appear in text. We built an LSTM model that makes use of the POS tags and dependency structures in the text to classify temporal and causal relations.
For learning. Collecting techniques of each step from knowledge graph building processes.
Relation Extraction: BERT vs BiLSTM
An implementation of the paper A Unified Architecture for Semantic Role Labeling and Relation Classification
Segment CNN for relation classification. Paper in JAMIA.
DeftEval 2020: Definition extraction Challenge
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