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05/31/2023
Analyzing Text Representations by Measuring Task Alignment
Textual representations based on pre-trained language models are key, es...
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10/24/2022
Are Deep Sequence Classifiers Good at Non-Trivial Generalization?
Recent advances in deep learning models for sequence classification have...
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10/11/2022
Analyzing Text Representations under Tight Annotation Budgets: Measuring Structural Alignment
Annotating large collections of textual data can be time consuming and e...
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10/10/2022
Translate First Reorder Later: Leveraging Monotonicity in Semantic Parsing
Prior work in semantic parsing has shown that conventional seq2seq model...
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05/17/2022
Measuring Alignment Bias in Neural Seq2Seq Semantic Parsers
Prior to deep learning the semantic parsing community has been intereste...
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06/09/2017
A Maximum Matching Algorithm for Basis Selection in Spectral Learning
We present a solution to scale spectral algorithms for learning sequence...
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09/07/2015
Structured Prediction with Output Embeddings for Semantic Image Annotation
We address the task of annotating images with semantic tuples. Solving t...
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12/22/2014
Tailoring Word Embeddings for Bilexical Predictions: An Experimental Comparison
We investigate the problem of inducing word embeddings that are tailored...
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06/27/2012