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05/27/2023
FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing
Textual scene graph parsing has become increasingly important in various...
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05/22/2023
The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning
Multilingual semantic parsing aims to leverage the knowledge from the hi...
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05/08/2023
Language Independent Neuro-Symbolic Semantic Parsing for Form Understanding
Recent works on form understanding mostly employ multimodal transformers...
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05/02/2023
Turning Flowchart into Dialog: Plan-based Data Augmentation for Low-Resource Flowchart-grounded Troubleshooting Dialogs
Flowchart-grounded troubleshooting dialogue (FTD) systems, which follow ...
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04/24/2023
SocialDial: A Benchmark for Socially-Aware Dialogue Systems
Dialogue systems have been widely applied in many scenarios and are now ...
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03/02/2023
Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery
In this paper, we conduct the first study on spurious correlations for o...
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02/16/2023
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation
Existing work in document-level neural machine translation commonly conc...
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12/20/2022
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods
With increasing privacy concerns on data, recent studies have made signi...
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12/18/2022
Let's Negotiate! A Survey of Negotiation Dialogue Systems
Negotiation is one of the crucial abilities in human communication, and ...
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11/27/2022
Learning Object-Language Alignments for Open-Vocabulary Object Detection
Existing object detection methods are bounded in a fixed-set vocabulary ...
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10/11/2022
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities
We introduce ViLPAct, a novel vision-language benchmark for human activi...
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02/27/2022
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation
In this paper, we propose a variational autoencoder with disentanglement...
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11/10/2021
Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) is a task that an agent is required...
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10/13/2021
Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model
The ability to generate natural-language questions with controlled compl...
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09/11/2021
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
This paper investigates continual learning for semantic parsing. In this...
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08/29/2021
Beyond Model Extraction: Imitation Attack for Black-Box NLP APIs
Machine-learning-as-a-service (MLaaS) has attracted millions of users to...
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05/14/2021
Neural-Symbolic Commonsense Reasoner with Relation Predictors
Commonsense reasoning aims to incorporate sets of commonsense facts, ret...
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02/02/2021
On Robustness of Neural Semantic Parsers
Semantic parsing maps natural language (NL) utterances into logical form...
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01/26/2021
Few-Shot Semantic Parsing for New Predicates
In this work, we investigate the problems of semantic parsing in a few-s...
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11/02/2020
Context Dependent Semantic Parsing: A Survey
Semantic parsing is the task of translating natural language utterances ...
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11/02/2020
COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering
Commonsense reasoning refers to the ability of evaluating a social situa...
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09/14/2019
ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation
In this paper, we describe ALTER, an auxiliary text rewriting tool that ...
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08/13/2018
D-PAGE: Diverse Paraphrase Generation
In this paper, we investigate the diversity aspect of paraphrase generat...
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07/14/2017
f-GANs in an Information Geometric Nutshell
Nowozin et al showed last year how to extend the GAN principle to all f-...
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12/20/2016
Automatic Generation of Grounded Visual Questions
In this paper, we propose the first model to be able to generate visuall...
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10/31/2016
Named Entity Recognition for Novel Types by Transfer Learning
In named entity recognition, we often don't have a large in-domain train...
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09/13/2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach
We present a theoretically grounded approach to train deep neural networ...
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06/27/2016
STransE: a novel embedding model of entities and relationships in knowledge bases
Knowledge bases of real-world facts about entities and their relationshi...
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06/21/2016
Neighborhood Mixture Model for Knowledge Base Completion
Knowledge bases are useful resources for many natural language processin...
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04/21/2015
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks
Word embeddings -- distributed word representations that can be learned ...
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08/04/2014