Media Summary: textsummarization This research proposes a set of simple metrics to quantify factual Title: Using NLP methods to verify cost information Modern organizations generate vast amounts of data stored in diverse and often unstructured formats, such as PDFs, scanned ...

Towards Consistent Document Level Entity - Detailed Analysis & Overview

textsummarization This research proposes a set of simple metrics to quantify factual Title: Using NLP methods to verify cost information Modern organizations generate vast amounts of data stored in diverse and often unstructured formats, such as PDFs, scanned ... Introducing the LongTraceRL framework to improve the long context reasoning ability of large-scale language models (LLMs). This lecture (by Graham Neubig) for CMU CS 11-711, Advanced NLP (Fall 2021) covers: * Extracting Features from Long ... How do you determine if two records are associated with the same customer if the data you have is insufficient to tell?

Lex Fridman Podcast full episode: Please support this podcast by checking out ... Soutenance de thèse de Perceval Wajsburt intitulée "Extraction and normalization of simple and structured

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Towards Consistent Document-Level Entity Linking: Joint Models for Entity Linking and Coreference
Entity-level Factual Consistency of Abstractive Text Summarization (Research Paper Walkthrough)
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network
Using NLP methods to verify cost information consistency in construction projects documents
Structuring the Unstructured - Cedric Clyburn, Red Hat
LongTraceRL: Enhancing Long-Context Reasoning with Entity-Level Rubric Rewards
CMU Advanced NLP 2021 (21): Document-level Modeling
[ACL 2025] Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport
Textlets: Supporting Constraints and Consistency in Text Documents
Entity Resolution Explained in Less Than 2 Minutes
Entity resolution vs Record to record matching
What is a DMT trip like and who are the entities you meet? | Matthew Johnson and Lex Fridman
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Towards Consistent Document-Level Entity Linking: Joint Models for Entity Linking and Coreference

Towards Consistent Document-Level Entity Linking: Joint Models for Entity Linking and Coreference

Video introducing our work "

Entity-level Factual Consistency of Abstractive Text Summarization (Research Paper Walkthrough)

Entity-level Factual Consistency of Abstractive Text Summarization (Research Paper Walkthrough)

textsummarization #nlp #metrics This research proposes a set of simple metrics to quantify factual

Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network

Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network

ACL2019.

Using NLP methods to verify cost information consistency in construction projects documents

Using NLP methods to verify cost information consistency in construction projects documents

Title: Using NLP methods to verify cost information

Structuring the Unstructured - Cedric Clyburn, Red Hat

Structuring the Unstructured - Cedric Clyburn, Red Hat

Modern organizations generate vast amounts of data stored in diverse and often unstructured formats, such as PDFs, scanned ...

LongTraceRL: Enhancing Long-Context Reasoning with Entity-Level Rubric Rewards

LongTraceRL: Enhancing Long-Context Reasoning with Entity-Level Rubric Rewards

Introducing the LongTraceRL framework to improve the long context reasoning ability of large-scale language models (LLMs).

CMU Advanced NLP 2021 (21): Document-level Modeling

CMU Advanced NLP 2021 (21): Document-level Modeling

This lecture (by Graham Neubig) for CMU CS 11-711, Advanced NLP (Fall 2021) covers: * Extracting Features from Long ...

[ACL 2025] Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport

[ACL 2025] Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport

Paper: https://arxiv.org/abs/2505.23078 Code: https://github.com/jinnaiyuu/mbr-optimal-transport Yuu Jinnai.

Textlets: Supporting Constraints and Consistency in Text Documents

Textlets: Supporting Constraints and Consistency in Text Documents

Textlets: Supporting Constraints and

Entity Resolution Explained in Less Than 2 Minutes

Entity Resolution Explained in Less Than 2 Minutes

Entity

Entity resolution vs Record to record matching

Entity resolution vs Record to record matching

How do you determine if two records are associated with the same customer if the data you have is insufficient to tell?

What is a DMT trip like and who are the entities you meet? | Matthew Johnson and Lex Fridman

What is a DMT trip like and who are the entities you meet? | Matthew Johnson and Lex Fridman

Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=ICj8p5jPd3Y Please support this podcast by checking out ...

PhD defense - Extraction and normalization of simple and structured entities in medical documents

PhD defense - Extraction and normalization of simple and structured entities in medical documents

Soutenance de thèse de Perceval Wajsburt intitulée "Extraction and normalization of simple and structured