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The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Tool Learning for Big Models, Open-Source Solutions of ChatGPT-Plugins
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Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
Transformer seq2seq model, program that can build a language translator from parallel corpus
Multi-relational Poincaré Graph Embeddings
An Open-Source Package for Knowledge Embedding (KE)
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
《机器翻译:基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models
An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow
NiuTensor is an open-source toolkit developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. It provides tensor utilities to create and train neural networks.
Implementation of papers for text classification task on DBpedia
Wide And Deep Sequence model Attention Mechanism
Wide and Deep Learning for CTR Prediction in tensorflow
A Tool to view or edit syntactic parsing results
Implementation of Graph Convolutional Networks in TensorFlow
An open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group
CoNLL 2016 Shallow Discourse Parsing System (Soochow University)
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Library for fast text representation and classification.
It is a tensorflow script for multi-task learning implementation of Kim's paper : Convolutional Neural Networks for Sentence Classification.
TensorFlow implementation of the paper `Adversarial Multi-task Learning for Text Classification`
High-accuracy NLP parser with models for 11 languages.