Automated fact‐checking: A survey
X Zeng, AS Abumansour… - Language and Linguistics …, 2021 - Wiley Online Library
As online false information continues to grow, automated fact‐checking has gained an
increasing amount of attention in recent years. Researchers in the field of Natural Language …
increasing amount of attention in recent years. Researchers in the field of Natural Language …
A brief survey on recent advances in coreference resolution
The task of resolving repeated objects in natural languages is known as coreference
resolution, and it is an important part of modern natural language processing. It is classified …
resolution, and it is an important part of modern natural language processing. It is classified …
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Language models demonstrate both quantitative improvement and new qualitative
capabilities with increasing scale. Despite their potentially transformative impact, these new …
capabilities with increasing scale. Despite their potentially transformative impact, these new …
A broad-coverage challenge corpus for sentence understanding through inference
This paper introduces the Multi-Genre Natural Language Inference (MultiNLI) corpus, a
dataset designed for use in the development and evaluation of machine learning models for …
dataset designed for use in the development and evaluation of machine learning models for …
A large annotated corpus for learning natural language inference
Understanding entailment and contradiction is fundamental to understanding natural
language, and inference about entailment and contradiction is a valuable testing ground for …
language, and inference about entailment and contradiction is a valuable testing ground for …
In-context learning with retrieved demonstrations for language models: A survey
Language models, especially pre-trained large language models, have showcased
remarkable abilities as few-shot in-context learners (ICL), adept at adapting to new tasks …
remarkable abilities as few-shot in-context learners (ICL), adept at adapting to new tasks …
Counter-fitting word vectors to linguistic constraints
In this work, we present a novel counter-fitting method which injects antonymy and
synonymy constraints into vector space representations in order to improve the vectors' …
synonymy constraints into vector space representations in order to improve the vectors' …
Investigating reasons for disagreement in natural language inference
We investigate how disagreement in natural language inference (NLI) annotation arises. We
developed a taxonomy of disagreement sources with 10 categories spanning 3 high-level …
developed a taxonomy of disagreement sources with 10 categories spanning 3 high-level …
Survey on mining subjective data on the web
In the past years we have witnessed Sentiment Analysis and Opinion Mining becoming
increasingly popular topics in Information Retrieval and Web data analysis. With the rapid …
increasingly popular topics in Information Retrieval and Web data analysis. With the rapid …
[LIVRE][B] Recognizing textual entailment: Models and applications
In the last few years, a number of NLP researchers have developed and participated in the
task of Recognizing Textual Entailment (RTE). This task encapsulates Natural Language …
task of Recognizing Textual Entailment (RTE). This task encapsulates Natural Language …