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Proceedings of the 1st and 2nd Workshops on Natural Logic Meets Machine Learning (NALOMA)

Kalouli, Aikaterini-Lida
Moss, Lawrence S.

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Front matter [pdf] [bib] pages
Learning General Event Schemas with Episodic Logic
Lane Lawley, Benjamin Kuehnert and Lenhart Schubert
[pdf] [bib]
pp. 1‑6
Applied Medical Code Mapping with Character-based Deep Learning Models and Word-based Logic
John Langton and Krishna Srihasam
[pdf] [bib]
pp. 7‑11
Attentive Tree-structured Network for Monotonicity Reasoning
Zeming Chen
[pdf] [bib]
pp. 12‑21
Transferring Representations of Logical Connectives
Aaron Traylor, Ellie Pavlick and Roman Feiman
[pdf] [bib]
pp. 22‑25
Monotonic Inference for Underspecified Episodic Logic
Gene Kim, Mandar Juvekar and Lenhart Schubert
[pdf] [bib]
pp. 26‑40
Supporting Context Monotonicity Abstractions in Neural NLI Models
Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino and André Freitas
[pdf] [bib]
pp. 41‑50
Bayesian Classification and Inference in a Probabilistic Type Theory with Records
Staffan Larsson and Robin Cooper
[pdf] [bib]
pp. 51‑59
From compositional semantics to Bayesian pragmatics via logical inference
Julian Grove, Jean-Philippe Bernardy and Stergios Chatzikyriakidis
[pdf] [bib]
pp. 60‑70
A (Mostly) Symbolic System for Monotonic Inference with Unscoped Episodic Logical Forms
Gene Kim, Mandar Juvekar, Junis Ekmekciu, Viet Duong and Lenhart Schubert
[pdf] [bib] [optional] [supplementary]
pp. 71‑80

Last modified on June 6, 2021, 10:27 a.m.