Karl Pichotta

Karl Pichotta

Karl Pichotta

Karl Pichotta

Karl Pichotta

Karl Pichotta

Karl Pichotta

Karl Pichotta

Karl Pichotta

Karl Pichotta


I recently finished my PhD in Computer Science at UT Austin, advised by Ray Mooney, in the Machine Learning group.

My research interests concern the computational semantics of Natural Languages. Broadly speaking, I am interested in the question of what we can learn about the structure of documents, discourses, and the situations they describe, in addition to a slew of other problems in ML and NLP.

My academic curriculum vitae can be found here.











































Publications

2018

Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction
Wesley Tansey, Karl Pichotta, and James G. Scott.
Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18). [pdf]

2016

Using Sentence-Level LSTM Language Models for Script Inference.
Karl Pichotta and Raymond J. Mooney.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-16). [pdf] [bib]

Learning Statistical Scripts With LSTM Recurrent Neural Networks.
Karl Pichotta and Raymond J. Mooney.
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16). [pdf] [bib]

2014

Statistical Script Learning with Multi-Argument Events.
Karl Pichotta and Raymond J. Mooney.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2014). [pdf] [bib]

2013

Identifying Phrasal Verbs Using Many Bilingual Corpora.
Karl Pichotta and John DeNero.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013). [pdf] [bib]

2012

Relational Theories with Null Values and Non-Herbrand Stable Models.
Vladimir Lifschitz, Karl Pichotta and Fangkai Yang.
Theory and Practice of Logic Programming (TPLP), 12(4-5). 2012. [pdf] [bib]

(-\infty, 2012)

Processing Paraphrases and Phrasal Implicatives in the Bridge Question-Answering System.
Karl Pichotta.
Undergraduate Honors Thesis, Symbolic Systems Program, Stanford University. 2008. [pdf] [bib]


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