ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models
In recent times, large language models (LLMs) have shown impressive performance on
various document-level tasks such as document classification, summarization, and question …
various document-level tasks such as document classification, summarization, and question …
Contradiction detection in financial reports
Finding and amending contradictions in a financial report is crucial for the publishing
company and its financial auditors. To automate this process, we introduce a novel …
company and its financial auditors. To automate this process, we introduce a novel …
[HTML][HTML] “Here are the rules: Ignore all rules”: Automatic contradiction detection in spanish
This paper tackles automatic detection of contradictions in Spanish within the news domain.
Two pieces of information are classified as compatible, contradictory, or unrelated …
Two pieces of information are classified as compatible, contradictory, or unrelated …
Detecting misleading headlines through the automatic recognition of contradiction in spanish
Misleading headlines are part of the disinformation problem. Headlines should give a
concise summary of the news story helping the reader to decide whether to read the body …
concise summary of the news story helping the reader to decide whether to read the body …
Tackling contradiction detection in german using machine translation and end-to-end recurrent neural networks
Natural Language Inference, and specifically Contradiction Detection, is still an unexplored
topic with respect to German text. In this paper, we apply Recurrent Neural Network (RNN) …
topic with respect to German text. In this paper, we apply Recurrent Neural Network (RNN) …
A linguistic investigation of machine learning based contradiction detection models: An empirical analysis and future perspectives
M Pielka, F Rode, L Pucknat… - 2022 21st IEEE …, 2022 - ieeexplore.ieee.org
We analyze two Natural Language Inference data sets with respect to their linguistic
features. The goal is to identify those syntactic and semantic properties that are particularly …
features. The goal is to identify those syntactic and semantic properties that are particularly …
Dibert: Dependency injected bidirectional encoder representations from transformers
Prior research in the area of Natural Language Processing (NLP) has shown that including
the syntactic structure of a sentence using a dependency parse tree while training a …
the syntactic structure of a sentence using a dependency parse tree while training a …
Detecting contradictions in german text: A comparative study
This study presents a comparison on Natural Language Inference (NLI), specifically
detecting contradictions, in German text. To that end, four state-of-the-art model paradigms …
detecting contradictions, in German text. To that end, four state-of-the-art model paradigms …
Towards linguistically informed multi-objective transformer pre-training for natural language inference
We introduce a linguistically enhanced combination of pre-training methods for transformers.
The pre-training objectives include POS-tagging, synset prediction based on semantic …
The pre-training objectives include POS-tagging, synset prediction based on semantic …
Contradiction detection in persian text
Z Rahimi, M ShamsFard - arXiv preprint arXiv:2107.01987, 2021 - arxiv.org
Detection of semantic contradictory sentences is one of the most challenging and
fundamental issues for NLP applications such as recognition of textual entailments …
fundamental issues for NLP applications such as recognition of textual entailments …