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11/10/2020
DoLFIn: Distributions over Latent Features for Interpretability
Interpreting the inner workings of neural models is a key step in ensuri...
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04/30/2020
Revisiting Unsupervised Relation Extraction
Unsupervised relation extraction (URE) extracts relations between named ...
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06/04/2019
Boosting Entity Linking Performance by Leveraging Unlabeled Documents
Modern entity linking systems rely on large collections of documents spe...
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05/17/2019
Distant Learning for Entity Linking with Automatic Noise Detection
Accurate entity linkers have been produced for domains and languages whe...
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04/27/2018
Improving Entity Linking by Modeling Latent Relations between Mentions
Entity linking involves aligning textual mentions of named entities to t...
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04/14/2017
Optimizing Differentiable Relaxations of Coreference Evaluation Metrics
Coreference evaluation metrics are hard to optimize directly as they are...
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05/05/2016
LSTM-based Mixture-of-Experts for Knowledge-Aware Dialogues
We introduce an LSTM-based method for dynamically integrating several wo...
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03/01/2016
Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs
Recursive neural networks (RNN) and their recently proposed extension re...
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04/18/2015
Unsupervised Dependency Parsing: Let's Use Supervised Parsers
We present a self-training approach to unsupervised dependency parsing t...
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03/09/2015