a-415

a-415's Stars

• cpetroaca/causal_relation_extraction

  Extract causal relation from text

  Language:Python101

• cpetroaca/sophie

  An Open Information Extraction System

  Language:Python2

• mponza/SalIE

  Salient Open Information Extraction

  Language:Java203

• noranta4/Three-body-problem

  The motion of an asteroid in a two-dimensional space with a star and a planet • University project • 2014 - Laboratorio di Fisica Computazionale - BSc in Physics, II year

  Language:C6

• noranta4/Information-Extraction-from-WikipediaEN

  Python implementation of "Integrating Syntactic and Semantic Analysis into the Open Information Extraction Paradigm. Moro, Navigli (2013)" • University project • 2017 - Natural Language Processing - MSc in Computer Science, I year

  Language:Python63

• knowitall/reverb

  Web-Scale Open Information Extraction

  Language:Java543133

• gabrielStanovsky/supervised_oie_wrapper

  Thin wrapper for the AllenNLP's implementation of supervised open information extraction

  Language:Python172

• subendhu19/semparse

  Experiments for Few-shot Semantic Parsing as Constrained Paraphrasing

  Language:Python2

• luheng/deep_srl

  Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

  Language:Python33077

• pcyin/pytorch_neural_symbolic_machines

  A PyTorch Implementation of Neural Symbolic Machines by Liang et al. (2018)

  Language:Python599

• google-research-datasets/conceptual-12m

  Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.

  36821

• lileipisces/PEPLER

  TOIS'23, Personalized Prompt Learning for Explainable Recommendation

  Language:Python12320

• lileipisces/PETER

  ACL'21 Oral, Personalized Transformer for Explainable Recommendation

  Language:Python8920

• yumoxu/marge

  Code for ACL 21: Generating Query Focused Summaries from Query-Free Resources

  Language:Python331

• microsoft/DialoGPT

  Large-scale pretraining for dialogue

  Language:Python2.4k340

• apple/ml-knowledge-conflicts

  Entity-Based Knowledge Conflicts in Question Answering. Code repo for EMNLP2021 paper: https://aclanthology.org/2021.emnlp-main.565/

  Language:Python6920

• princeton-nlp/DensePhrases

  [ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624

  Language:Python60577

• GXimingLu/neurologic_decoding

  Language:Python8011

• xlang-ai/UnifiedSKG

  [EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models

  Language:Python55058

• goodmami/wn

  A modern, interlingual wordnet interface for Python

  Language:Python22123

• michiyasunaga/LinkBERT

  [ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links

  Language:Python42142

• ekinakyurek/influence

  Code for "Tracing Knowledge in Language Models Back to the Training Data"

  Language:Jupyter Notebook351

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python20.3k2.6k

• icip-cas/Semantic-Parsing

  17934

• allenai/acl2022-zerofewshot-tutorial

  29413

• princeton-nlp/NLProofS

  EMNLP 2022: Generating Natural Language Proofs with Verifier-Guided Search https://arxiv.org/abs/2205.12443

  Language:Python8115

• microsoft/SpeechT5

  Unified-Modal Speech-Text Pre-Training for Spoken Language Processing

  Language:Python1.2k114

• THUDM/CogView2

  official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers"

  Language:Python95178

• mlfoundations/model-soups

  Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

  Language:Python42939

• inverse-scaling/prize

  A prize for finding tasks that cause large language models to show inverse scaling

  59825