no code implementations • 5 Jun 2023 • Aditya Srikanth Veerubhotla, Lahari Poddar, Jun Yin, György Szarvas, Sharanya Eswaran
Self-rationalizing models that also generate a free-text explanation for their predicted labels are an important tool to build trustworthy AI applications.
no code implementations • 25 Oct 2022 • Lahari Poddar, György Szarvas, Cheng Wang, Jorge Balazs, Pavel Danchenko, Patrick Ernst
Task-oriented dialogue systems in industry settings need to have high conversational capability, be easily adaptable to changing situations and conform to business constraints.
no code implementations • COLING 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.
no code implementations • 28 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.
no code implementations • 16 Oct 2019 • Lahari Poddar, Gyorgy Szarvas, Lea Frermann
The meaning of a word often varies depending on its usage in different domains.
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.
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.
no code implementations • EMNLP 2017 • Lahari Poddar, Wynne Hsu, Mong Li Lee
User generated content about products and services in the form of reviews are often diverse and even contradictory.
no code implementations • 15 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.
no code implementations • 1 Dec 2016 • Lahari Poddar
We employ different methods to detect different types of multiword expressions.
no code implementations • 29 Nov 2016 • Lahari Poddar, Kishaloy Halder, Xianyan Jia
Analysing sentiment of tweets is important as it helps to determine the users' opinion.