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09/21/2023
Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models
Large language models (LLMs) have demonstrated impressive capabilities i...
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09/13/2023
Simultaneous Machine Translation with Large Language Models
Large language models (LLM) have demonstrated their abilities to solve v...
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06/08/2023
T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text Classification
Cross-lingual text classification leverages text classifiers trained in ...
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05/28/2023
Investigating Pre-trained Audio Encoders in the Low-Resource Condition
Pre-trained speech encoders have been central to pushing state-of-the-ar...
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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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05/26/2023
NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery
Norms, which are culturally accepted guidelines for behaviours, can be i...
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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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05/09/2023
Voicify Your UI: Towards Android App Control with Voice Commands
Nowadays, voice assistants help users complete tasks on the smartphone w...
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05/06/2023
A Minimal Approach for Natural Language Action Space in Text-based Games
Text-based games (TGs) are language-based interactive environments for r...
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05/06/2023
Active Continual Learning: Labelling Queries in a Sequence of Tasks
Acquiring new knowledge without forgetting what has been learned in a se...
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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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04/17/2023
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
Knowledge graphs (KGs), as a structured form of knowledge representation...
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03/26/2023
Koala: An Index for Quantifying Overlaps with Pre-training Corpora
In very recent years more attention has been placed on probing the role ...
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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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01/30/2023
Active Learning for Multilingual Semantic Parser
Current multilingual semantic parsing (MSP) datasets are almost all coll...
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01/30/2023
On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex
Semantic parsing is a technique aimed at constructing a structured repre...
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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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11/07/2022
Complex Reading Comprehension Through Question Decomposition
Multi-hop reading comprehension requires not only the ability to reason ...
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10/24/2022
Self-supervised Rewiring of Pre-trained Speech Encoders: Towards Faster Fine-tuning with Less Labels in Speech Processing
Pre-trained speech Transformers have facilitated great success across va...
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10/20/2022
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?
Previous works mostly focus on either multilingual or multi-domain aspec...
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10/17/2022
Towards Relation Extraction From Speech
Relation extraction typically aims to extract semantic relationships bet...
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10/16/2022
RedApt: An Adaptor for wav2vec 2 Encoding Faster and Smaller Speech Translation without Quality Compromise
Pre-trained speech Transformers in speech translation (ST) have facilita...
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10/06/2022
Teaching Neural Module Networks to Do Arithmetic
Answering complex questions that require multi-step multi-type reasoning...
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09/27/2022
Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations
Interpretable machine learning seeks to understand the reasoning process...
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07/07/2022
An Additive Instance-Wise Approach to Multi-class Model Interpretation
Interpretable machine learning offers insights into what factors drive a...
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07/03/2022
M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation
End-to-end speech-to-text translation models are often initialized with ...
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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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12/30/2021
Utilizing Wordnets for Cognate Detection among Indian Languages
Automatic Cognate Detection (ACD) is a challenging task which has been u...
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12/17/2021
Challenge Dataset of Cognates and False Friend Pairs from Indian Languages
Cognates are present in multiple variants of the same text across differ...
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12/16/2021
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages
Cognates are variants of the same lexical form across different language...
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12/15/2021
Cognition-aware Cognate Detection
Automatic detection of cognates helps downstream NLP tasks of Machine Tr...
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11/25/2021
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
Differentiable Architecture Search (DARTS) has received massive attentio...
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11/19/2021
Medical Visual Question Answering: A Survey
Medical Visual Question Answering (VQA) is a combination of medical arti...
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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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10/15/2021
Multilingual Neural Machine Translation:Can Linguistic Hierarchies Help?
Multilingual Neural Machine Translation (MNMT) trains a single NMT model...
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10/11/2021
It is Not as Good as You Think! Evaluating Simultaneous Machine Translation on Interpretation Data
Most existing simultaneous machine translation (SiMT) systems are traine...
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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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09/09/2021
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection
This paper considers the unsupervised domain adaptation problem for neur...
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09/06/2021
Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text
Numerical reasoning skills are essential for complex question answering ...
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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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06/22/2021
Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective
With leveraging the weight-sharing and continuous relaxation to enable g...
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06/11/2021
Generate, Annotate, and Learn: Generative Models Advance Self-Training and Knowledge Distillation
Semi-Supervised Learning (SSL) has seen success in many application doma...
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05/20/2021
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection
Event detection (ED) aims at detecting event trigger words in sentences ...
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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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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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11/27/2020
Domain Adaptative Causality Encoder
Current approaches which are mainly based on the extraction of low-level...
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11/16/2020
