Search Results for author: Amrita Saha

Found 14 papers, 3 papers with code

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding

no code implementations23 May 2022 Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi

Prompt Tuning (PT) has been largely successful as a parameter-efficient way of conditioning large-scale pre-trained language models towards a downstream task.

Natural Language Understanding NER +2

Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps

no code implementations21 Apr 2022 Amrita Saha, Steven C. H. Hoi

ICA forms the backbone of a simple-yet-effective Retrieval based RCA for new incidents, through an Information Retrieval system to search and rank past incidents and detect likely root causes from them, given the incident symptom.

Information Retrieval

Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning

no code implementations28 Jan 2021 Amrita Saha, Shafiq Joty, Steven C. H. Hoi

Neural Module Networks (NMNs) have been quite successful in incorporating explicit reasoning as learnable modules in various question answering tasks, including the most generic form of numerical reasoning over text in Machine Reading Comprehension (MRC).

Dependency Parsing Language Modelling +2

Scene Graph based Image Retrieval -- A case study on the CLEVR Dataset

no code implementations3 Nov 2019 Sahana Ramnath, Amrita Saha, Soumen Chakrabarti, Mitesh M. Khapra

With the prolification of multimodal interaction in various domains, recently there has been much interest in text based image retrieval in the computer vision community.

Graph Matching Image Retrieval +1

DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension

1 code implementation ACL 2018 Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, Karthik Sankaranarayanan

We propose DuoRC, a novel dataset for Reading Comprehension (RC) that motivates several new challenges for neural approaches in language understanding beyond those offered by existing RC datasets.

Reading Comprehension

Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph

1 code implementation31 Jan 2018 Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra, Karthik Sankaranarayanan, Sarath Chandar

Further, unlike existing large scale QA datasets which contain simple questions that can be answered from a single tuple, the questions in our dialogs require a larger subgraph of the KG.

Knowledge Graphs Question Answering

Towards Building Large Scale Multimodal Domain-Aware Conversation Systems

no code implementations1 Apr 2017 Amrita Saha, Mitesh Khapra, Karthik Sankaranarayanan

With this dataset, we propose 5 new sub-tasks for multimodal conversations along with their evaluation methodology.

Response Generation

A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation

no code implementations COLING 2016 Amrita Saha, Mitesh M. Khapra, Sarath Chandar, Janarthanan Rajendran, Kyunghyun Cho

However, there is no parallel training data available between X and Y but, training data is available between X & Z and Z & Y (as is often the case in many real world applications).


Cannot find the paper you are looking for? You can Submit a new open access paper.