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20122023
most citedGenerative Adversarial Text to Image Synthesis

2.2k citations · 10.8k across the 93 of their papers we have counts for

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7 papers · 1 filter

cs.CL2023★ 10 cited

Multimodal Deep Learning

Cem Akkus, Luyang Chu, Vladana Djakovic +14

This book is the result of a seminar in which we reviewed multimodal approaches and attempted to create a solid overview of the field, starting with the current state-of-the-art ap…

cs.CL2019

Zero-Shot Entity Linking by Reading Entity Descriptions

Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee +3

We present the zero-shot entity linking task, where mentions must be linked to unseen entities without in-domain labeled data. The goal is to enable robust transfer to highly speci…

cs.CL2018★ 81 cited

Content preserving text generation with attribute controls

Lajanugen Logeswaran, Honglak Lee, Samy Bengio

In this work, we address the problem of modifying textual attributes of sentences. Given an input sentence and a set of attribute labels, we attempt to generate sentences that are…

cs.CL2018★ 426 cited

An efficient framework for learning sentence representations

Lajanugen Logeswaran, Honglak Lee

In this work we propose a simple and efficient framework for learning sentence representations from unlabelled data. Drawing inspiration from the distributional hypothesis and rece…

cs.CL2017★ 26 cited

Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs

Rui Zhang, Honglak Lee, Lazaros Polymenakos +1

In this paper, we study the problem of addressee and response selection in multi-party conversations. Understanding multi-party conversations is challenging because of complex spea…

cs.CL2016★ 6 cited

Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents

Rui Zhang, Honglak Lee, Dragomir Radev

The goal of sentence and document modeling is to accurately represent the meaning of sentences and documents for various Natural Language Processing tasks. In this work, we present…

cs.CL2016★ 59 cited

Sentence Ordering and Coherence Modeling using Recurrent Neural Networks

Lajanugen Logeswaran, Honglak Lee, Dragomir Radev

Modeling the structure of coherent texts is a key NLP problem. The task of coherently organizing a given set of sentences has been commonly used to build and evaluate models that u…