This is your work, valued

Beijing, China

Yuqiang Xie

Advanced
@IndexFziQ

LLM Researcher @SkyworkAI. Ph.D. in NLP from IIE, CAS.

GNN4NLP-Papers. A list of recent papers about Graph Neural Network methods applied in NLP areas.

902

Diffusion4NLP-Papers. A paper list about diffusion models for natural language processing.

183

NLPer-Conferences-Journals-Survey. Survey of NLP+AI Conferences and Journals for NLPers

49

KMRC-Papers. A list of recent papers regarding knowledge-based machine reading comprehension.

42

ML-ATIC. Abnormal Traffic Identification Classifier based on Machine Learning. My code for undergraduate graduation design.

30

MSMARCO-MRC-Analysis. Analysis on the MS-MARCO leaderboard regarding the machine reading comprehension task.

22

COMMA. The code of COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities. https://aclanthology.org/2022.coling-1.15.pdf In COLING 2022.

12

Analysis-of-Story-Cloze-Test-and-ROCStories. Analysis of Story-Cloze-Test (SCT) task and its training set (ROCStories). History, developments and future works.

6

Learn-python-with-socratica-My-notes. My notes about "Learn python with socratica"

5

LongLM-Eyas. Implement of IIE-NLP-Eyas@OutGen: Chinese Outline-guided Story Generation via a Progressive Plot-Event-Story Framework

4

Self-Supervised-Learning-for-NLP. A research on self-supervised learning with the interest of applying it into NLP field.

3

Speech2Text. Speech to Text with Xun Fei API.

2

IIE-NLP-Eyas-SemEval2021. Code of IIE-NLP-Eyas Team for ReCAM (Task 4) @SemEval2021 (https://arxiv.org/abs/2102.12777)

2

DrQA. Reading Wikipedia to Answer Open-Domain Questions

2

CLSEG. Codes and Date for CLSEG in ICASSP 2022. https://ieeexplore.ieee.org/document/9747435/

2

ASER. ASER (activities, states, events, and their relations), a large-scale eventuality knowledge graph extracted from more than 11-billion-token unstructured textual data.

1

DeepLearning-500-questions. 深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

1

awesome-bert-nlp. A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

1

Learning-Code-by-Multiway-Attention-Networks. learning the baseline for AIchallenger18

1

cosmosqa. Python

1