15 citations · 27 across the 9 of their papers we have counts for
14 papers
Memory and Knowledge Augmented Language Models for Inferring Salience in Long-Form Stories
David Wilmot, Frank Keller
Measuring event salience is essential in the understanding of stories. This paper takes a recent unsupervised method for salience detection derived from Barthes Cardinal Functions…
Movie Plot Analysis via Turning Point Identification
Pinelopi Papalampidi, Frank Keller, Mirella Lapata
According to screenwriting theory, turning points (e.g., change of plans, major setback, climax) are crucial narrative moments within a screenplay: they define the plot structure,…
An Imitation Learning Approach to Unsupervised Parsing
Bowen Li, Lili Mou, Frank Keller
Recently, there has been an increasing interest in unsupervised parsers that optimize semantically oriented objectives, typically using reinforcement learning. Unfortunately, the l…
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…
Character-based Surprisal as a Model of Reading Difficulty in the Presence of Error
Michael Hahn, Frank Keller, Yonatan Bisk +1
Intuitively, human readers cope easily with errors in text; typos, misspelling, word substitutions, etc. do not unduly disrupt natural reading. Previous work indicates that letter…
Dependency Grammar Induction with a Neural Variational Transition-based Parser
Bowen Li, Jianpeng Cheng, Yang Liu +1
Dependency grammar induction is the task of learning dependency syntax without annotated training data. Traditional graph-based models with global inference achieve state-of-the-ar…
Modeling Task Effects in Human Reading with Neural Network-based Attention
Michael Hahn, Frank Keller
Research on human reading has long documented that reading behavior shows task-specific effects, but it has been challenging to build general models predicting what reading behavio…
Extreme clicking for efficient object annotation
Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller +1
Manually annotating object bounding boxes is central to building computer vision datasets, and it is very time consuming (annotating ILSVRC [53] took 35s for one high-quality box […
Image Pivoting for Learning Multilingual Multimodal Representations
Spandana Gella, Rico Sennrich, Frank Keller +1
In this paper we propose a model to learn multimodal multilingual representations for matching images and sentences in different languages, with the aim of advancing multilingual v…
Training object class detectors with click supervision
Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller +1
Training object class detectors typically requires a large set of images with objects annotated by bounding boxes. However, manually drawing bounding boxes is very time consuming.…
An Analysis of Action Recognition Datasets for Language and Vision Tasks
Spandana Gella, Frank Keller
A large amount of recent research has focused on tasks that combine language and vision, resulting in a proliferation of datasets and methods. One such task is action recognition,…
Modeling Human Reading with Neural Attention
Michael Hahn, Frank Keller
When humans read text, they fixate some words and skip others. However, there have been few attempts to explain skipping behavior with computational models, as most existing work h…
We don't need no bounding-boxes: Training object class detectors using only human verification
Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller +1
Training object class detectors typically requires a large set of images in which objects are annotated by bounding-boxes. However, manually drawing bounding-boxes is very time con…
Towards an Account of Extraposition in HPSG
Frank Keller
This paper investigates the syntax of extraposition in the HPSG framework. We present English and German data (partly taken from corpora), and provide an analysis using lexical rul…