activity
20192021
most citedA Unified Linear-Time Framework for Sentence-Level Discourse Parsing

8 citations · 8 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL2021

Nearest Neighbour Few-Shot Learning for Cross-lingual Classification

M Saiful Bari, Batool Haider, Saab Mansour

Even though large pre-trained multilingual models (e.g. mBERT, XLM-R) have led to significant performance gains on a wide range of cross-lingual NLP tasks, success on many downstre…

cs.CL2021

AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT

Tasnim Mohiuddin, M Saiful Bari, Shafiq Joty

The success of Neural Machine Translation (NMT) largely depends on the availability of large bitext training corpora. Due to the lack of such large corpora in low-resource language…

cs.CL2020

LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space

Tasnim Mohiuddin, M Saiful Bari, Shafiq Joty

Most of the successful and predominant methods for bilingual lexicon induction (BLI) are mapping-based, where a linear mapping function is learned with the assumption that the word…

cs.CL2019

Zero-Resource Cross-Lingual Named Entity Recognition

M Saiful Bari, Shafiq Joty, Prathyusha Jwalapuram

Recently, neural methods have achieved state-of-the-art (SOTA) results in Named Entity Recognition (NER) tasks for many languages without the need for manually crafted features. Ho…

cs.CL20198 cited

A Unified Linear-Time Framework for Sentence-Level Discourse Parsing

Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram +1

We propose an efficient neural framework for sentence-level discourse analysis in accordance with Rhetorical Structure Theory (RST). Our framework comprises a discourse segmenter t…