Robust Fragment-Based Framework for Cross-lingual Sentence Retrieval

no code implementations • Findings (EMNLP) 2021 • Nattapol Trijakwanich, Peerat Limkonchotiwat, Raheem Sarwar, Wannaphong Phatthiyaphaibun, Ekapol Chuangsuwanich, Sarana Nutanong

Cross-lingual Sentence Retrieval (CLSR) aims at retrieving parallel sentence pairs that are translations of each other from a multilingual set of comparable documents.

Machine Translation Retrieval +4

Domain Adaptation of Thai Word Segmentation Models using Stacked Ensemble

1 code implementation • EMNLP 2020 • Peerat Limkonchotiwat, Wannaphong Phatthiyaphaibun, Raheem Sarwar, Ekapol Chuangsuwanich, Sarana Nutanong

Like many Natural Language Processing tasks, Thai word segmentation is domain-dependent.

Domain Adaptation Ensemble Learning +2

Handling Cross- and Out-of-Domain Samples in Thai Word Segmentation

1 code implementation • Findings (ACL) 2021 • Peerat Limkonchotiwat, Wannaphong Phatthiyaphaibun, Raheem Sarwar, Ekapol Chuangsuwanich, Sarana Nutanong

Thai Word Segmentation

Parsing AUC result-figures in machine learning specific scholarly documents for semantically-enriched summarization

1 code implementation • Applied Artificial Intelligence 2021 • Iqra Safder, Hafsa Batool, Raheem Sarwar, Farooq Zaman, Naif Radi Aljohani, Raheel Nawaz, Mohamed Gaber, and Saeed-Ul Hassan

Using over 12, 000 figures extracted from 1000 scholarly documents, we show that figure specialized summaries contain more enriched terms about figure semantics.

Sentiment analysis for Urdu online reviews using deep learning models

1 code implementation • Expert Systems 2021 • qra Safder, Zainab Mahmood, Raheem Sarwar, Saeed-Ul Hassan, Farooq Zaman, Rao Muhammad Adeel Nawab, Faisal Bukhari, Rabeeh Ayaz Abbasi, Salem Alelyani, Naif Radi Aljohani, Raheel Nawaz

The objectives of this work are bifold (a) the creation of a human-annotated corpus for the research of sentiment analysis in Urdu; and (b) measurement of up-to-date model performance using a corpus.

Binary Classification Classification +2