Representing Affect Information in Word Embeddings

21 September 2022

Papers citing "Representing Affect Information in Word Embeddings"

4 / 4 papers shown

Title
A Linguistic Comparison between Human and ChatGPT-Generated Conversations Morgan Sandler Hyesun Choung Arun Ross Prabu David DeLMO 24 8 0 29 Jan 2024
Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics Yuhan Zhang Edward Gibson Forrest Davis 27 6 0 02 Nov 2023
Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words Josef Klafka Allyson Ettinger 48 42 0 04 May 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,956 0 20 Apr 2018