Search Results for author: Bodhisattwa Prasad Majumder

Found 17 papers, 11 papers with code

Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding

no code implementations EMNLP 2020 Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley

In this work, we perform the first large-scale analysis of discourse in media dialog and its impact on generative modeling of dialog turns, with a focus on interrogative patterns and use of external knowledge.

Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection

1 code implementation ACL 2022 Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian McAuley

In this paper, we propose a post-hoc knowledge-injection technique where we first retrieve a diverse set of relevant knowledge snippets conditioned on both the dialog history and an initial response from an existing dialog model.

Informativeness

Self-Supervised Bot Play for Conversational Recommendation with Justifications

no code implementations9 Dec 2021 Shuyang Li, Bodhisattwa Prasad Majumder, Julian McAuley

Conversational recommender systems offer the promise of interactive, engaging ways for users to find items they enjoy.

Recommendation Systems

Rationale-Inspired Natural Language Explanations with Commonsense

no code implementations25 Jun 2021 Bodhisattwa Prasad Majumder, Oana-Maria Camburu, Thomas Lukasiewicz, Julian McAuley

Extractive rationales (i. e., subsets of input features) and natural language explanations (NLEs) are two predominant types of explanations for machine learning models.

Unsupervised Enrichment of Persona-grounded Dialog with Background Stories

1 code implementation ACL 2021 Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian McAuley, Harsh Jhamtani

Humans often refer to personal narratives, life experiences, and events to make a conversation more engaging and rich.

Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge

1 code implementation NAACL 2021 Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian McAuley

The ability to generate clarification questions i. e., questions that identify useful missing information in a given context, is important in reducing ambiguity.

Question Generation

Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions

1 code implementation EMNLP 2020 Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian McAuley

Existing persona-grounded dialog models often fail to capture simple implications of given persona descriptions, something which humans are able to do seamlessly.

Interview: A Large-Scale Open-Source Corpus of Media Dialog

no code implementations7 Apr 2020 Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley

Compared to existing large-scale proxies for conversational data, language models trained on our dataset exhibit better zero-shot out-of-domain performance on existing spoken dialog datasets, demonstrating its usefulness in modeling real-world conversations.

ReZero is All You Need: Fast Convergence at Large Depth

13 code implementations10 Mar 2020 Thomas Bachlechner, Bodhisattwa Prasad Majumder, Huanru Henry Mao, Garrison W. Cottrell, Julian McAuley

Deep networks often suffer from vanishing or exploding gradients due to inefficient signal propagation, leading to long training times or convergence difficulties.

Language Modelling

Generating Personalized Recipes from Historical User Preferences

1 code implementation IJCNLP 2019 Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley

Existing approaches to recipe generation are unable to create recipes for users with culinary preferences but incomplete knowledge of ingredients in specific dishes.

Recipe Generation Text Generation

Deep Recurrent Neural Networks for Product Attribute Extraction in eCommerce

no code implementations29 Mar 2018 Bodhisattwa Prasad Majumder, Aditya Subramanian, Abhinandan Krishnan, Shreyansh Gandhi, Ajinkya More

Extracting accurate attribute qualities from product titles is a vital component in delivering eCommerce customers with a rewarding online shopping experience via an enriched faceted search.

Fault Detection Engine in Intelligent Predictive Analytics Platform for DCIM

1 code implementation16 Oct 2016 Bodhisattwa Prasad Majumder, Ayan Sengupta, Sajal jain, Parikshit Bhaduri

With the advancement of huge data generation and data handling capability, Machine Learning and Probabilistic modelling enables an immense opportunity to employ predictive analytics platform in high security critical industries namely data centers, electricity grids, utilities, airport etc.

Community Detection Fault Detection

Kernelized Weighted SUSAN based Fuzzy C-Means Clustering for Noisy Image Segmentation

1 code implementation28 Mar 2016 Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das

The paper proposes a novel Kernelized image segmentation scheme for noisy images that utilizes the concept of Smallest Univalue Segment Assimilating Nucleus (SUSAN) and incorporates spatial constraints by computing circular colour map induced weights.

Semantic Segmentation

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