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Disambiguation of "Laskar, Md. Tahmid Rahman"

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Improving Punctuation Restoration for Speech Transcripts via External Data.

, , , , and . W-NUT, page 168-174. Association for Computational Linguistics, (2021)

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Md Arifur Rahman

Md Mokhlesur Rahman

Md Hafizur Rahman

Md Mahbubur Rahman

Md. ashikur Rahman

 

Other publications of authors with the same name

Improving Punctuation Restoration for Speech Transcripts via External Data., , , , and . W-NUT, page 168-174. Association for Computational Linguistics, (2021)Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with Transformer Models., , and . Canadian AI, volume 12109 of Lecture Notes in Computer Science, page 342-348. Springer, (2020)An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts., , , , and . W-NUT@COLING, page 96-100. Association for Computational Linguistics, (2022)Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task., , and . LREC, page 5505-5514. European Language Resources Association, (2020)A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets., , , , , and . ACL (Findings), page 431-469. Association for Computational Linguistics, (2023)Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges., , , , , , and . CoRR, (2024)BenLLM-Eval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP., , , , , and . LREC/COLING, page 2238-2252. ELRA and ICCL, (2024)Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization., , , , and . CoRR, (2024)An Auto Encoder-based Dimensionality Reduction Technique for Efficient Entity Linking in Business Phone Conversations., , , , , and . SIGIR, page 3363-3367. ACM, (2022)Can Large Language Models Fix Data Annotation Errors? An Empirical Study Using Debatepedia for Query-Focused Text Summarization., , , , and . EMNLP (Findings), page 10245-10255. Association for Computational Linguistics, (2023)