Singapore

EMNLP 2023

SynthNID: Synthetic Data to Improve End-to-end Bangla Document Key Information Extraction | VIDEO

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document key information extraction

synthetic data

workshop paper

**Welcome to EMNLP 2023!**

On behalf of the EMNLP 2023 Organizing Committee, I extend a warm and heartfelt welcome to all of you to the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP). It is with immense pleasure and excitement that we gather here in Singapore, a vibrant hub of innovation and technological advancement.

The conference program is packed with insightful presentations, thought-provoking workshops, and engaging networking opportunities. In addition to the technical sessions, we have also planned several social events that will provide you with the opportunity to connect with your colleagues.

The conference is held in person at the Resorts World Convention Centre in Singapore, and available on-line with the help of Underline.

For those in Singapore, I hope that you will find time to explore the exciting Sentosa Island, Gardens by the Bay, Singapore Botanic Gardens and the many other attractions unique to Singapore.

Of course, we are grateful to our sponsors and partners for their generous support of EMNLP 2023, whose contributions make it possible for us to host this world-class event.

Yuji Matsumoto (RIKEN AIP) 
EMNLP 2023 General Chair

To access the **EMNLP 2023** event page on Underline, you need to register for the Conference. 
Please follow **[this link](https://2023.emnlp.org/registration/)** for more details.

EMNLP 2023 took place in Singapore from Dec 6th to Dec 10th, 2023.

BEmoLexBERT: A Hybrid Model for Multilabel Textual Emotion Classification in Bangla by Combining Transformers with Lexicon Features

BaTEClaCor: A Novel Dataset for Bangla Text Error Classification and Correction

Advancing Bangla Punctuation Restoration by a Monolingual Transformer-Based Method and a Large-Scale Corpus

Investigating the Effectiveness of Graph-based Algorithm for Bangla Text Classification

Pipeline Enabling Zero-shot Classification for Bangla Handwritten Grapheme

BLP-2023 Task 1: Violence Inciting Text Detection (VITD)

Semantics Squad at BLP-2023 Task 1: Violence Inciting Bangla Text Detection with Fine-Tuned Transformer-Based Models

Team CentreBack at BLP-2023 Task 1: Analyzing performance of different machine-learning based methods for detecting violence-inciting texts in Bangla

nlpBDpatriots at BLP-2023 Task 1: Two-Step Classification for Violence Inciting Text Detection in Bangla - Leveraging Back-Translation and Multilinguality | VIDEO

NLP_CUET at BLP-2023 Task 1: Fine-grained Categorization of Violence Inciting Text using Transformer-based Approach

https://d3smihljt9218e.cloudfront.net/transcript/61254/subtitle/93bcdcc2d00541f277625cb8d318c575.vtt

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SynthNID: Synthetic Data to Improve End-to-end Bangla Document Key Information Extraction | VIDEO

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BEmoLexBERT: A Hybrid Model for Multilabel Textual Emotion Classification in Bangla by Combining Transformers with Lexicon Features

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