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Found 27 papers, 1 papers with code
How should the advent of large language models affect the practice of science?
For this opinion piece, we have invited four diverse groups of scientists to reflect on this query, sharing their perspectives and engaging in debate.
AI and the Everything in the Whole Wide World Benchmark
There is a tendency across different subfields in AI to valorize a small collection of influential benchmarks.
Data and its (dis)contents: A survey of dataset development and use in machine learning research
Datasets have played a foundational role in the advancement of machine learning research.
Integrating Ethics into the NLP Curriculum
To raise awareness among future NLP practitioners and prevent inertia in the field, we need to place ethics in the curriculum for all NLP students{---}not as an elective, but as a core part of their education.
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
The success of the large neural language models on many NLP tasks is exciting.
Visualizing Inferred Morphotactic Systems
We present a web-based system that facilitates the exploration of complex morphological patterns found in morphologically very rich languages.
Neural Text Generation from Rich Semantic Representations
We propose neural models to generate high-quality text from structured representations based on Minimal Recursion Semantics (MRS).
100 Things You Always Wanted to Know about Semantics \& Pragmatics But Were Afraid to Ask
Meaning is a fundamental concept in Natural Language Processing (NLP), given its aim to build systems that mean what they say to you, and understand what you say to them.
Recommendation Systems
Unsupervised Person Re-Identification
Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science
In this paper, we propose data statements as a design solution and professional practice for natural language processing technologists, in both research and development.
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task
This paper presents a summary of the first Workshop on Building Linguistically Generalizable Natural Language Processing Systems, and the associated Build It Break It, The Language Edition shared task.
Towards an Encyclopedia of Compositional Semantics: Documenting the Interface of the English Resource Grammar
We motivate and describe the design and development of an emerging encyclopedia of compositional semantics, pursuing three objectives.
Language CoLLAGE: Grammatical Description with the LinGO Grammar Matrix
Language CoLLAGE is a collection of grammatical descriptions developed in the context of a grammar engineering graduate course with the LinGO Grammar Matrix.
Enriching ODIN
In this paper, we describe the expansion of the ODIN resource, a database containing many thousands of instances of Interlinear Glossed Text (IGT) for over a thousand languages harvested from scholarly linguistic papers posted to the Web.
