30 citations · 31 across the 9 of their papers we have counts for
9 papers
Extracting Important Tokens in E-Commerce Queries with a Tag Interaction-Aware Transformer Model
Md. Ahsanul Kabir, Mohammad Al Hasan, Aritra Mandal +4
The major task of any e-commerce search engine is to retrieve the most relevant inventory items, which best match the user intent reflected in a query. This task is non-trivial due…
Hierarchical Job Classification with Similarity Graph Integration
Md Ahsanul Kabir, Kareem Abdelfatah, Mohammed Korayem +1
In the dynamic realm of online recruitment, accurate job classification is paramount for optimizing job recommendation systems, search rankings, and labor market analyses. As job m…
Extracting Cause-Effect Pairs from a Sentence with a Dependency-Aware Transformer Model
Md Ahsanul Kabir, Abrar Jahin, Mohammad Al Hasan
Extracting cause and effect phrases from a sentence is an important NLP task, with numerous applications in various domains, including legal, medical, education, and scientific res…
A Survey on E-Commerce Learning to Rank
Md. Ahsanul Kabir, Mohammad Al Hasan, Aritra Mandal +2
In e-commerce, ranking the search results based on users' preference is the most important task. Commercial e-commerce platforms, such as, Amazon, Alibaba, eBay, Walmart, etc. perf…
Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs
Md Ahsanul Kabir, Kareem Abdelfatah, Shushan He +2
As recruitment and talent acquisition have become more and more competitive, recruitment firms have become more sophisticated in using machine learning (ML) methodologies for optim…
Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns
Md. Ahsanul Kabir, AlJohara Almulhim, Xiao Luo +1
Extracting cause-effect entities from medical literature is an important task in medical information retrieval. A solution for solving this task can be used for compilation of vari…
ORDSIM: Ordinal Regression for E-Commerce Query Similarity Prediction
Md. Ahsanul Kabir, Mohammad Al Hasan, Aritra Mandal +2
Query similarity prediction task is generally solved by regression based models with square loss. Such a model is agnostic of absolute similarity values and it penalizes the regres…
ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Context
Md. Ahsanul Kabir, Typer Phillips, Xiao Luo +1
Semantic relationships, such as hyponym-hypernym, cause-effect, meronym-holonym etc. between a pair of entities in a sentence are usually reflected through syntactic patterns. Auto…
Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT
Matthew Tang, Priyanka Gandhi, Md Ahsanul Kabir +3
Various deep learning algorithms have been developed to analyze different types of clinical data including clinical text classification and extracting information from 'free text'…