Search Results for author: Lahari Poddar

Found 10 papers, 0 papers with code

DialAug: Mixing up Dialogue Contexts in Contrastive Learning for Robust Conversational Modeling

no code implementations15 Apr 2022 Lahari Poddar, Peiyao Wang, Julia Reinspach

In this paper we propose a framework that incorporates augmented versions of a dialogue context into the learning objective.

Contrastive Learning Data Augmentation

Attention Guided Dialogue State Tracking with Sparse Supervision

no code implementations28 Jan 2021 Shuailong Liang, Lahari Poddar, Gyuri Szarvas

We present results on two public multi-domain DST datasets (MultiWOZ and Schema Guided Dialogue) in both settings i. e. training with turn-level and with sparse supervision.

Dialogue State Tracking

Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering

no code implementations NAACL 2019 Lahari Poddar, Leonardo Neves, William Brendel, Luis Marujo, Sergey Tulyakov, Pradeep Karuturi

Leveraging the assumption that learning the topic of a bug is a sub-task for detecting duplicates, we design a loss function that can jointly perform both tasks but needs supervision for only duplicate classification, achieving topic clustering in an unsupervised fashion.

General Classification

Modeling Temporal Progression of Emotional Status in Mental Health Forum: A Recurrent Neural Net Approach

no code implementations WS 2017 Kishaloy Halder, Lahari Poddar, Min-Yen Kan

We study the problem of predicting a patient{'}s emotional status in the future from her past posts and we propose a Recurrent Neural Network (RNN) based architecture to address it.

Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach

no code implementations15 May 2017 Lahari Poddar, Wynne Hsu, Mong Li Lee

User opinions expressed in the form of ratings can influence an individual's view of an item.

Bayesian Inference

Multilingual Multiword Expressions

no code implementations1 Dec 2016 Lahari Poddar

We employ different methods to detect different types of multiword expressions.


Sentiment Analysis for Twitter : Going Beyond Tweet Text

no code implementations29 Nov 2016 Lahari Poddar, Kishaloy Halder, Xianyan Jia

Analysing sentiment of tweets is important as it helps to determine the users' opinion.

Sentiment Analysis

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