forest-snow / mtanchor_demo

Related projects: ⓘ

• CogComp / zoe
  Zero-Shot Open Entity Typing as Type-Compatible Grounding, EMNLP'18.
  ☆43Updated 4 years ago
• successar / FRESH
  ☆27Updated last year
• allenai / few_shot_explanations
  Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"
  ☆31Updated last year
• ahoho / SentiVAE
  ☆16Updated 5 years ago
• aistairc / rotowire-modified
  Script for generating the rotowire-modified dataset (Iso et al; ACL 2019)
  ☆9Updated 3 years ago
• timoschick / form-context-model
  This repository contains the code for the Form-Context Model and its Attentive Mimicking variant.
  ☆31Updated 4 years ago
• GChrysostomou / ood_faith
  ☆13Updated last year
• xiye17 / EvalQAExpl
  Code for Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.
  ☆18Updated 3 years ago
• INK-USC / expl-refinement
  Code for the paper "Refining Language Model with Compositional Explanation" (NeurIPS 2021)
  ☆12Updated 2 years ago
• schelotto / Gaussian_Word_Embedding
  PyTorch implementation of Gaussian word embeddings
  ☆19Updated 6 years ago
• shibei00 / Cross-Lingual-Topic-Model
  A topic model which can identify bilingual topics across unaligned corpus using dictionary. An implementation of the paper "Detecting Com…
  ☆13Updated 6 years ago
• yunitata / continuous-n-gram-AA
  Code to reproduce experiments from the EACL 2017 paper Continouos N-gram representation for Authorship Attribution
  ☆12Updated 7 years ago
• ewsheng / decoding-biases
  Scripts to evaluate various bias metrics for different NLG models + decoding algorithms
  ☆14Updated 9 months ago
• peterbhase / LAS-NL-Explanations
  Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"
  ☆20Updated 3 years ago
• MurtyShikhar / ExpBERT
  Code for our ACL '20 paper "Representation Engineering with Natural Language Explanations"
  ☆29Updated 4 years ago
• forest-snow / anchor-topic
  This package supports implementation of anchor-based topic modeling and variants of the anchoring algorithm in Python 3.
  ☆16Updated 6 years ago
• lil-lab / bandit-qa
  Code for Simulating Bandit Learning from User Feedback for Extractive Question Answering.
  ☆18Updated 2 years ago
• yseop / YseopLab
  ☆16Updated last month
• jzbjyb / X-FACTR
  ☆24Updated last year
• henryzhao5852 / DistDR
  ☆12Updated 2 years ago
• sunlab-osu / ReasonBERT
  Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021
  ☆29Updated last year
• bfetahu / wiki_tables
  init
  ☆12Updated 3 years ago
• ruiqi-zhong / Meta-tuning
  EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
  ☆49Updated 3 years ago
• dominiksinsaarland / document-level-FEVER
  ☆15Updated 2 years ago
• jhlau / topic-coherence-sensitivity
  Code to compute topic coherence for several topic cardinalities and aggregate scores across them
  ☆22Updated last year
• Noahs-ARK / GroC
  Pytorch implementation of models described in "Grounded compositional outputs for adaptive language modeling", EMNLP 2020.
  ☆18Updated 3 years ago
• jingtaozhan / extrapolate-eval
  CIKM 2022: Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models
  ☆10Updated 2 years ago
• umanlp / tg2019task
  TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration
  ☆44Updated 4 years ago
• HazyResearch / random_embedding
  ☆16Updated 2 years ago
• Georgetown-IR-Lab / covid-neural-ir
  ☆24Updated 3 years ago