activity
20162022
most citedAn Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models

9 citations · 9 across the 3 of their papers we have counts for

collaborators

8 papers

cs.CL2022

Dialog Acts for Task-Driven Embodied Agents

Spandana Gella, Aishwarya Padmakumar, Patrick Lange +1

Embodied agents need to be able to interact in natural language understanding task descriptions and asking appropriate follow up questions to obtain necessary information to be eff…

cs.CL20209 cited

An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models

Lifu Tu, Garima Lalwani, Spandana Gella +1

Recent work has shown that pre-trained language models such as BERT improve robustness to spurious correlations in the dataset. Intrigued by these results, we find that the key to…

cs.CL2020

Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions

Arjun R Akula, Spandana Gella, Yaser Al-Onaizan +2

Visual referring expression recognition is a challenging task that requires natural language understanding in the context of an image. We critically examine RefCOCOg, a standard be…

cs.CL2019

Neural Word Decomposition Models for Abusive Language Detection

Sravan Babu Bodapati, Spandana Gella, Kasturi Bhattacharjee +1

User generated text on social media often suffers from a lot of undesired characteristics including hatespeech, abusive language, insults etc. that are targeted to attack or abuse…

cs.CL2019

Multimodal Abstractive Summarization for How2 Videos

Shruti Palaskar, Jindrich Libovický, Spandana Gella +1

In this paper, we study abstractive summarization for open-domain videos. Unlike the traditional text news summarization, the goal is less to "compress" text information but rather…

cs.CL2019

Cross-lingual Visual Verb Sense Disambiguation

Spandana Gella, Desmond Elliott, Frank Keller

Recent work has shown that visual context improves cross-lingual sense disambiguation for nouns. We extend this line of work to the more challenging task of cross-lingual verb sens…