In this paper, we present a zero-shot classification approach to document classification in any language into topics which can be described by English keywords. This is done by embedding both labels and documents into a shared semantic space that allows one to compute meaningful semantic similarity...
The official code for paper "Enhancing Language Representation with Constructional Information for Natural Language Understanding" English|简体中文 🔗Data•Tutorial•Guideline•Quick Start•Related Work•FAQ❓ Note This repository is still under construction and will take some time to complete. ...
This paper explores the capacityof porn to impose silence, the unexpected results a discourseof domination may trigger, and the other ways a woman can uselanguage. My analysis of feminist anti-porn arguments - bothcurrent European and older American examples - is based onPierre Bourdieu s ...
Code for the paper "Language Models are Unsupervised Multitask Learners" - GitHub - ferplascencia/gpt-2: Code for the paper "Language Models are Unsupervised Multitask Learners"
In this paper, we introduce a transformer model for the automated extraction of synthesis protocols in heterogeneous catalysis, aiming to streamline the literature review and analysis process. The significance of the approach is illustrated by the case of single-atom heterogeneous catalysts (SACs), a...
there exists a lack ofcomparative evaluationand discussion of the techniques as well as the tools used in ambiguity resolution (Alfwareh and Jusoh, 2011). This paper provides a detailed insight about how those existing ambiguity resolution techniques function, what approaches are followed by the tool...
Smaller models to a 1.3-billion-parameter model trained on The Pile and the GPT-2 1.5-billion-parameter LLM were downloaded from Hugging Face. Larger models were compared to a 4-billion-parameter baseline trained on The Pile. Our evaluation encompassed the zero-shot setting, where no examples ...
l 3rd: the language children exposed to may not contain examples of 13、all the information which they eventually know. laccording to the innatist view of language acquisition, human beings are biologically programmed for language and that the language develops in the child just as other ...
📙 Recent Advances in NLP via Large Pre-Trained Language Models: A Survey [Paper, November 2021] Embeddings Repositories ⭐ Pre-trained ELMo Representations for Many Languages [GitHub, 1458 stars] ⭐ sense2vec - Contextually-keyed word vectors [GitHub, 1617 stars] ⭐ wikipedia2vec [GitHub...
Code for paperLAFITE: Towards Language-Free Training for Text-to-Image Generation(CVPR 2022) Looking for a better language-free method? Trythis. Requirements The implementation is based onstylegan2-ada-pytorchandCLIP, the required packages can be found in the links. ...