Search Results for author: Mir Tafseer Nayeem

Found 5 papers, 2 papers with code

Unsupervised Abstractive Summarization of Bengali Text Documents

1 code implementation EACL 2021 Radia Rayan Chowdhury, Mir Tafseer Nayeem, Tahsin Tasnim Mim, Md. Saifur Rahman Chowdhury, Taufiqul Jannat

We also provide a human-annotated dataset with document-summary pairs to evaluate our abstractive model and to support the comparison of future abstractive summarization systems of the Bengali Language.

Abstractive Text Summarization Extractive Summarization +3

Simple or Complex? Learning to Predict Readability of Bengali Texts

1 code implementation9 Dec 2020 Susmoy Chakraborty, Mir Tafseer Nayeem, Wasi Uddin Ahmad

Determining the readability of a text is the first step to its simplification.

Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion

no code implementations COLING 2018 Mir Tafseer Nayeem, Tanvir Ahmed Fuad, Yllias Chali

Furthermore, we apply our sentence level model to implement an abstractive multi-document summarization system where documents usually contain a related set of sentences.

Abstractive Text Summarization Document Summarization +5

Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging

no code implementations IJCNLP 2017 Yllias Chali, Moin Tanvee, Mir Tafseer Nayeem

We propose a submodular function-based summarization system which integrates three important measures namely importance, coverage, and non-redundancy to detect the important sentences for the summary.

Abstractive Text Summarization Document Summarization +2

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