Search Results for author: Amanda Stent

Found 10 papers, 2 papers with code

A Preliminary Exploration of GANs for Keyphrase Generation

no code implementations EMNLP 2020 Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent

We observed that our model achieves state-of-the-art performance in the generation of abstractive keyphrases and is comparable to the best performing extractive techniques.

Keyphrase Generation

Parameter Selection for Analyzing Conversations with Autism Spectrum Disorder

no code implementations18 Jan 2024 Tahiya Chowdhury, Veronica Romero, Amanda Stent

The diagnosis of autism spectrum disorder (ASD) is a complex, challenging task as it depends on the analysis of interactional behaviors by psychologists rather than the use of biochemical diagnostics.

Learning to Look Inside: Augmenting Token-Based Encoders with Character-Level Information

no code implementations1 Aug 2021 Yuval Pinter, Amanda Stent, Mark Dredze, Jacob Eisenstein

Commonly-used transformer language models depend on a tokenization schema which sets an unchangeable subword vocabulary prior to pre-training, destined to be applied to all downstream tasks regardless of domain shift, novel word formations, or other sources of vocabulary mismatch.

Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings

no code implementations19 Oct 2019 Dhruva Sahrawat, Debanjan Mahata, Mayank Kulkarni, Haimin Zhang, Rakesh Gosangi, Amanda Stent, Agniv Sharma, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann

In this paper, we formulate keyphrase extraction from scholarly articles as a sequence labeling task solved using a BiLSTM-CRF, where the words in the input text are represented using deep contextualized embeddings.

Keyphrase Extraction Word Embeddings

Modeling financial analysts' decision making via the pragmatics and semantics of earnings calls

no code implementations7 Jun 2019 Katherine A. Keith, Amanda Stent

Every fiscal quarter, companies hold earnings calls in which company executives respond to questions from analysts.

Decision Making

MobiVSR: A Visual Speech Recognition Solution for Mobile Devices

no code implementations10 May 2019 Nilay Shrivastava, Astitwa Saxena, Yaman Kumar, Rajiv Ratn Shah, Debanjan Mahata, Amanda Stent

Visual speech recognition (VSR) is the task of recognizing spoken language from video input only, without any audio.

Lip Reading Quantization +2

Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech Recognition

1 code implementation29 Jan 2019 Yaman Kumar, Dhruva Sahrawat, Shubham Maheshwari, Debanjan Mahata, Amanda Stent, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann

To solve this problem, we present a novel approach to zero-shot learning by generating new classes using Generative Adversarial Networks (GANs), and show how the addition of unseen class samples increases the accuracy of a VSR system by a significant margin of 27% and allows it to handle speaker-independent out-of-vocabulary phrases.

speech-recognition Visual Speech Recognition +1

TVSum: Summarizing Web Videos Using Titles

no code implementations CVPR 2015 Yale Song, Jordi Vallmitjana, Amanda Stent, Alejandro Jaimes

We observe that a video title is often carefully chosen to be maximally descriptive of its main topic, and hence images related to the title can serve as a proxy for important visual concepts of the main topic.

Descriptive Image Retrieval +1

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