There are 15 repositories under semantic-role-labeling topic.
基于Pytorch和torchtext的知识图谱深度学习框架。
A neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency parsing.
Reimplementation of a BERT based model (Shi et al, 2019), currently the state-of-the-art for English SRL. This model implements also predicate disambiguation.
Collection of papers on Emotion Cause Analysis
[COLING'22] Code for "Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments".
Natural Language Parsing and Feature Generation
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.
Scripts for preprocessing the CoNLL-2005 SRL dataset.
A Structured Span Selector (NAACL 2022). A structured span selector with a WCFG for span selection tasks (coreference resolution, semantic role labelling, etc.)
SRL deep learning model is based on DB-LSTM which is described in this paper : [End-to-end learning of semantic role labeling using recurrent neural networks](http://www.aclweb.org/anthology/P15-1109)
*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach
BERT-based nominal Semantic Role Labeling (SRL), both using the Nombank dataset and the Ontonotes dataset.
GSRL is a seq2seq model for end-to-end dependency- and span-based SRL (IJCAI2021).
Sequence Labeling in Tensorflow
Unifying Cross-Lingual Semantic Role Labeling with Heterogeneous Linguistic Resources (NAACL-2021).
Universal Semantic Annotator (LREC 2022)
Implementation of our ACL 2020 paper: Structured Tuning for Semantic Role Labeling
Encoder-Decoder model for Semantic Role Labeling
X-SRL Dataset. Including the code for the SRL annotation projection tool and an out-of-the-box word alignment tool based on Multilingual BERT embeddings.
Code for the ACL2021 paper: Better Combine Them Together! Integrating Syntactic Constituency and Dependency Representations for Semantic Role Labeling
A semantic role labeling system for the Sumerian language. A Google Summer of Code '18 initiative.
NLP - Semantic Role Labeling using GCN, Bert and Biaffine Attention Layer. Developed in Pytorch
Research code and scripts used in the paper Semantic Role Labeling as Syntactic Dependency Parsing.
Code and models for the COLING2020 paper "Bridging the Gap in Multilingual Semantic Role Labeling: a Language-Agnostic Approach".
Code implementation of paper Semantic Role Labeling with Associated Memory Network (NAACL 2019)
Pytorch Implementation of Our NAACL 2021 Paper "Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network"
BERT models for semantic relation classification and semantic role labeling
albert-crf for SRL(Semantic Role Labeling),中文语义角色标注。