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07/13/2023
MegaWika: Millions of reports and their sources across 50 diverse languages
To foster the development of new models for collaborative AI-assisted re...
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05/24/2023
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction
Learning template based information extraction from documents is a cruci...
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05/24/2023
Mixture of Prompt Experts for Generalizable and Interpretable Question Answering
One of the ultimate quests of question answering (QA) is to deploy a sys...
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10/17/2022
Prompting GPT-3 To Be Reliable
Large language models (LLMs) show impressive abilities via few-shot prom...
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10/12/2022
Improving Question Answering with Generation of NQ-like Questions
Question Answering (QA) systems require a large amount of annotated data...
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05/25/2022
Revisiting Calibration for Question Answering
Model calibration aims to adjust (calibrate) models' confidence so that ...
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03/25/2022
Automatic Song Translation for Tonal Languages
This paper develops automatic song translation (AST) for tonal languages...
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03/21/2022
Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability
Pretrained multilingual models enable zero-shot learning even for unseen...
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10/10/2021
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation
Open-domain question answering answers a question based on evidence retr...
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09/11/2021
What's in a Name? Answer Equivalence For Open-Domain Question Answering
A flaw in QA evaluation is that annotations often only provide one gold ...
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07/05/2021
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence
Topic model evaluation, like evaluation of other unsupervised methods, c...
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04/15/2021
Adaptive Active Learning for Coreference Resolution
Training coreference resolution models require comprehensively labeled d...
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04/15/2021
Towards Deconfounding the Influence of Subject's Demographic Characteristics in Question Answering
Question Answering (QA) tasks are used as benchmarks of general machine ...
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04/13/2021
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval
Complex question answering often requires finding a reasoning chain that...
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04/10/2021
Fool Me Twice: Entailment from Wikipedia Gamification
We release FoolMeTwice (FM2 for short), a large dataset of challenging e...
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03/23/2021
Complex Factoid Question Answering with a Free-Text Knowledge Graph
We introduce DELFT, a factoid question answering system which combines t...
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01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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12/01/2020
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
We introduce CLIMATE-FEVER, a new publicly available dataset for verific...
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12/01/2020
ClimaText: A Dataset for Climate Change Topic Detection
Climate change communication in the mass media and other textual sources...
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10/21/2020
On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries
Large-scale semantic parsing datasets annotated with logical forms have ...
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10/19/2020
Cold-start Active Learning through Self-supervised Language Modeling
Active learning strives to reduce annotation costs by choosing the most ...
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05/01/2020
Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries
Cross-lingual word embeddings (CLWE) are often evaluated on bilingual le...
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11/11/2019
Meta Answering for Machine Reading
We investigate a framework for machine reading, inspired by real world i...
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11/08/2019
Interactive Refinement of Cross-Lingual Word Embeddings
Cross-lingual word embeddings transfer knowledge between languages: mode...
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10/31/2019
What Question Answering can Learn from Trivia Nerds
In addition to the traditional task of getting machines to answer questi...
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08/08/2019
Mitigating Noisy Inputs for Question Answering
Natural language processing systems are often downstream of unreliable i...
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06/05/2019
A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity
Cross-lingual word embeddings encode the meaning of words from different...
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06/04/2019
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization
Cross-lingual word embeddings (CLWE) underlie many multilingual natural ...
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05/23/2019
Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models
To address the lack of comparative evaluation of Human-in-the-Loop Topic...
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05/18/2019
Automatic Evaluation of Local Topic Quality
Topic models are typically evaluated with respect to the global topic di...
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05/14/2019
Misleading Failures of Partial-input Baselines
Recent work establishes dataset difficulty and removes annotation artifa...
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04/09/2019
Quizbowl: The Case for Incremental Question Answering
Quizbowl is a scholastic trivia competition that tests human knowledge a...
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12/22/2018
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification
Text classification must sometimes be applied in situations with no trai...
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10/23/2018
What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play
Machine learning is an important tool for decision making, but its ethic...
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09/08/2018
Interpreting Neural Networks With Nearest Neighbors
Local model interpretation methods explain individual predictions by ass...
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09/07/2018
Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions
Modern natural language processing systems have been touted as approachi...
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05/10/2018
Automatic Estimation of Simultaneous Interpreter Performance
Simultaneous interpretation, translation of the spoken word in real-time...
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04/26/2018
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation
Multilingual topic models enable document analysis across languages thro...
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04/22/2018
Inducing and Embedding Senses with Scaled Gumbel Softmax
Methods for learning word sense embeddings represent a single word with ...
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04/20/2018
Right Answer for the Wrong Reason: Discovery and Mitigation
Exposing the weaknesses of neural models is crucial for improving their ...
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04/17/2018
Learning to Color from Language
Automatic colorization is the process of adding color to greyscale image...
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07/24/2017
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
Machine translation is a natural candidate problem for reinforcement lea...
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11/16/2016
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives
Visual narrative is often a combination of explicit information and judi...
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06/15/2015
Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game
Interpersonal relations are fickle, with close friendships often dissolv...
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06/27/2012
Modeling Images using Transformed Indian Buffet Processes
Latent feature models are attractive for image modeling, since images ge...
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05/09/2012
Multilingual Topic Models for Unaligned Text
We develop the multilingual topic model for unaligned text (MuTo), a pro...
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07/19/2011
Using Variational Inference and MapReduce to Scale Topic Modeling
Latent Dirichlet Allocation (LDA) is a popular topic modeling technique ...
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02/25/2010
