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09/14/2023
SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects
Despite the progress we have recorded in the last few years in multiling...
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05/27/2023
Weaker Than You Think: A Critical Look atWeakly Supervised Learning
Weakly supervised learning is a popular approach for training machine le...
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05/16/2023
xPQA: Cross-Lingual Product Question Answering across 12 Languages
Product Question Answering (PQA) systems are key in e-commerce applicati...
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08/27/2022
MDIA: A Benchmark for Multilingual Dialogue Generation in 46 Languages
Owing to the lack of corpora for low-resource languages, current works o...
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08/05/2022
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey
Dense retrieval (DR) approaches based on powerful pre-trained language m...
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05/15/2022
Meta Self-Refinement for Robust Learning with Weak Supervision
Training deep neural networks (DNNs) with weak supervision has been a ho...
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04/11/2022
A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges
Legal judgment prediction (LJP) applies Natural Language Processing (NLP...
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04/08/2022
From Rewriting to Remembering: Common Ground for Conversational QA Models
In conversational QA, models have to leverage information in previous tu...
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03/03/2022
Deep Latent-Variable Models for Text Generation
Text generation aims to produce human-like natural language output for d...
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02/28/2022
Logical Fallacy Detection
Reasoning is central to human intelligence. However, fallacious argument...
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12/16/2021
Knowledge-enhanced Session-based Recommendation with Temporal Transformer
Recent research has achieved impressive progress in the session-based re...
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12/13/2021
Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer
Given the fact of a case, Legal Judgment Prediction (LJP) involves a ser...
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12/02/2021
AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization
Code summarization aims to generate brief natural language descriptions ...
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09/19/2021
Preventing Author Profiling through Zero-Shot Multilingual Back-Translation
Documents as short as a single sentence may inadvertently reveal sensiti...
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08/14/2021
The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation
We propose a shared task on training instance selection for few-shot neu...
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07/07/2021
On Training Instance Selection for Few-Shot Neural Text Generation
Large-scale pretrained language models have led to dramatic improvements...
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02/06/2021
Neural Data-to-Text Generation with LM-based Text Augmentation
For many new application domains for data-to-text generation, the main o...
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11/13/2020
Cross-Domain Learning for Classifying Propaganda in Online Contents
As news and social media exhibit an increasing amount of manipulative po...
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10/08/2020
DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool
We present a lightweight annotation tool, the Data AnnotatoR Tool (DART)...
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07/22/2020
Integrating Image Captioning with Rule-based Entity Masking
Given an image, generating its natural language description (i.e., capti...
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05/09/2020
Diversifying Dialogue Generation with Non-Conversational Text
Neural network-based sequence-to-sequence (seq2seq) models strongly suff...
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05/03/2020
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence
The neural attention model has achieved great success in data-to-text ge...
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03/18/2020
Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training
West African Pidgin English is a language that is significantly spoken i...
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09/10/2019
Select and Attend: Towards Controllable Content Selection in Text Generation
Many text generation tasks naturally contain two steps: content selectio...
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06/14/2019
Improving Multi-turn Dialogue Modelling with Utterance ReWriter
Recent research has made impressive progress in single-turn dialogue mod...
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09/27/2018
NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation
Sequence-to-Sequence (seq2seq) models have become overwhelmingly popular...
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02/06/2018
Improving Variational Encoder-Decoders in Dialogue Generation
Variational encoder-decoders (VEDs) have shown promising results in dial...
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10/11/2017
DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset
We develop a high-quality multi-turn dialog dataset, DailyDialog, which ...
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04/30/2017