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07/31/2023
No that's not what I meant: Handling Third Position Repair in Conversational Question Answering
The ability to handle miscommunication is crucial to robust and faithful...
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05/31/2023
Neuron to Graph: Interpreting Language Model Neurons at Scale
Advances in Large Language Models (LLMs) have led to remarkable capabili...
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05/27/2023
Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark
Recent model editing techniques promise to mitigate the problem of memor...
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05/25/2023
The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answering
Large language models are known to produce output which sounds fluent an...
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05/24/2023
The Larger They Are, the Harder They Fail: Language Models do not Recognize Identifier Swaps in Python
Large Language Models (LLMs) have successfully been applied to code gene...
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05/10/2023
iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or Modelling Perspectives?
There are two competing approaches for modelling annotator disagreement:...
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10/13/2022
Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models
Pretrained language models (PLMs) for data-to-text (D2T) generation can ...
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09/30/2022
Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering
Continual learning aims to train a model incrementally on a sequence of ...
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10/04/2021
SPaR.txt, a cheap Shallow Parsing approach for Regulatory texts
Automated Compliance Checking (ACC) systems aim to semantically parse bu...
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09/22/2021
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization
One of the most challenging aspects of current single-document news summ...
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06/10/2021
AGGGEN: Ordering and Aggregating while Generating
We present AGGGEN (pronounced 'again'), a data-to-text model which re-in...
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05/28/2021
OTTers: One-turn Topic Transitions for Open-Domain Dialogue
Mixed initiative in open-domain dialogue requires a system to pro-active...
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01/31/2021
An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games
Guessing games are a prototypical instance of the "learning by interacti...
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11/05/2020
Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games
In visual guessing games, a Guesser has to identify a target object in a...
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06/03/2020
CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning
Approaches to Grounded Language Learning typically focus on a single tas...
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05/15/2020
A Scientific Information Extraction Dataset for Nature Inspired Engineering
Nature has inspired various ground-breaking technological developments i...
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05/15/2020
In Layman's Terms: Semi-Open Relation Extraction from Scientific Texts
Information Extraction (IE) from scientific texts can be used to guide r...
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05/08/2020
History for Visual Dialog: Do we really need it?
Visual Dialog involves "understanding" the dialog history (what has been...
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10/29/2019
Findings of the Third Workshop on Neural Generation and Translation
This document describes the findings of the Third Workshop on Neural Gen...
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10/10/2019
Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking)
We present a recurrent neural network based system for automatic quality...
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09/14/2019
Current Challenges in Spoken Dialogue Systems and Why They Are Critical for Those Living with Dementia
Dialogue technologies such as Amazon's Alexa have the potential to trans...
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04/07/2019
SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression
Neural sequence-to-sequence models are currently the dominant approach i...
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10/20/2018
Improving Context Modelling in Multimodal Dialogue Generation
In this work, we investigate the task of textual response generation in ...
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10/20/2018
A Knowledge-Grounded Multimodal Search-Based Conversational Agent
Multimodal search-based dialogue is a challenging new task: It extends v...
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09/18/2018
Better Conversations by Modeling,Filtering,and Optimizing for Coherence and Diversity
We present three enhancements to existing encoder-decoder models for ope...
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08/29/2018
Mapping Language to Code in Programmatic Context
Source code is rarely written in isolation. It depends significantly on ...
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04/27/2017
Learning a Neural Semantic Parser from User Feedback
We present an approach to rapidly and easily build natural language inte...
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04/26/2017
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
Sequence-to-sequence models have shown strong performance across a broad...
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02/07/2017
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task
A writer's style depends not just on personal traits but also on her int...
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10/19/2016