Matthew Lamm

According to our database1, Matthew Lamm authored at least 16 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Measuring Attribution in Natural Language Generation Models.
Comput. Linguistics, 2023

2022
LaMDA: Language Models for Dialog Applications.
CoRR, 2022

Retrieval-guided Counterfactual Generation for QA.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
QED: A Framework and Dataset for Explanations in Question Answering.
Trans. Assoc. Comput. Linguistics, 2021

Decontextualization: Making Sentences Stand-Alone.
Trans. Assoc. Comput. Linguistics, 2021

Measuring Attribution in Natural Language Generation Models.
CoRR, 2021

Ellipsis Resolution as Question Answering: An Evaluation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2019
Ellipsis and Coreference Resolution as Question Answering.
CoRR, 2019

Learning a SAT Solver from Single-Bit Supervision.
Proceedings of the 7th International Conference on Learning Representations, 2019

Compositional Generalization in Image Captioning.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Graph Neural Networks and Boolean Satisfiability.
CoRR, 2017

Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph.
Proceedings of the 2017 Text Analysis Conference, 2017


The Pragmatics of Indirect Commands in Collaborative Discourse.
Proceedings of the IWCS 2017 - 12th International Conference on Computational Semantics - Short papers, Montpellier, France, September 19, 2017

Gapping Constructions in Universal Dependencies v2.
Proceedings of the NoDaLiDa Workshop on Universal Dependencies, 2017


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