12 citations · 15 across the 5 of their papers we have counts for
7 papers
Applying a Generic Sequence-to-Sequence Model for Simple and Effective Keyphrase Generation
Md Faisal Mahbub Chowdhury, Gaetano Rossiello, Michael Glass +2
In recent years, a number of keyphrase generation (KPG) approaches were proposed consisting of complex model architectures, dedicated training paradigms and decoding strategies. In…
Robust Retrieval Augmented Generation for Zero-shot Slot Filling
Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury +1
Automatically inducing high quality knowledge graphs from a given collection of documents still remains a challenging problem in AI. One way to make headway for this problem is thr…
Template Controllable keywords-to-text Generation
Abhijit Mishra, Md Faisal Mahbub Chowdhury, Sagar Manohar +2
This paper proposes a novel neural model for the understudied task of generating text from keywords. The model takes as input a set of un-ordered keywords, and part-of-speech (POS)…
Hypernym Detection Using Strict Partial Order Networks
Sarthak Dash, Md Faisal Mahbub Chowdhury, Alfio Gliozzo +2
This paper introduces Strict Partial Order Networks (SPON), a novel neural network architecture designed to enforce asymmetry and transitive properties as soft constraints. We appl…
An Efficient Approach for Super and Nested Term Indexing and Retrieval
Md Faisal Mahbub Chowdhury, Robert Farrell
This paper describes a new approach, called Terminological Bucket Indexing (TBI), for efficient indexing and retrieval of both nested and super terms using a single method. We prop…
A Study on Passage Re-ranking in Embedding based Unsupervised Semantic Search
Md Faisal Mahbub Chowdhury, Vijil Chenthamarakshan, Rishav Chakravarti +1
State of the art approaches for (embedding based) unsupervised semantic search exploits either compositional similarity (of a query and a passage) or pair-wise word (or term) simil…