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Found 20 papers, 6 papers with code
Towards a Computational Lexicon for Moroccan Darija: Words, Idioms, and Constructions
In this paper, we explore the challenges of building a computational lexicon for Moroccan Darija (MD), an Arabic dialect spoken by over 32 million people worldwide but which only recently has begun appearing frequently in written form in social media.
Annotation of Tense and Aspect Semantics for Sentential AMR
Although English grammar encodes a number of semantic contrasts with tense and aspect marking, these semantics are currently ignored by Abstract Meaning Representation (AMR) annotations.
Augmenting Abstract Meaning Representation for Human-Robot Dialogue
We detail refinements made to Abstract Meaning Representation (AMR) that make the representation more suitable for supporting a situated dialogue system, where a human remotely controls a robot for purposes of search and rescue and reconnaissance.
Saarland at MRP 2019: Compositional parsing across all graphbanks
We describe the Saarland University submission to the shared task on Cross-Framework Meaning Representation Parsing (MRP) at the 2019 Conference on Computational Natural Language Learning (CoNLL).
Normalizing Compositional Structures Across Graphbanks
The emergence of a variety of graph-based meaning representations (MRs) has sparked an important conversation about how to adequately represent semantic structure.
Dialogue-AMR: Abstract Meaning Representation for Dialogue
This paper describes a schema that enriches Abstract Meaning Representation (AMR) in order to provide a semantic representation for facilitating Natural Language Understanding (NLU) in dialogue systems.
A Two-Level Interpretation of Modality in Human-Robot Dialogue
We analyze the use and interpretation of modal expressions in a corpus of situated human-robot dialogue and ask how to effectively represent these expressions for automatic learning.
Compositional Generalization Requires Compositional Parsers
A rapidly growing body of research on compositional generalization investigates the ability of a semantic parser to dynamically recombine linguistic elements seen in training into unseen sequences.
Spanish Abstract Meaning Representation: Annotation of a General Corpus
The Abstract Meaning Representation (AMR) formalism, designed originally for English, has been adapted to a number of languages.
SLOG: A Structural Generalization Benchmark for Semantic Parsing
The goal of compositional generalization benchmarks is to evaluate how well models generalize to new complex linguistic expressions.
Cultural Adaptation of Recipes
We introduce a new task involving the translation and cultural adaptation of recipes between Chinese and English-speaking cuisines.
AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite
We present the Granular AMR Parsing Evaluation Suite (GrAPES), a challenge set for Abstract Meaning Representation (AMR) parsing with accompanying evaluation metrics.
ConvoFusion: Multi-Modal Conversational Diffusion for Co-Speech Gesture Synthesis
Gestures play a key role in human communication.
Aligning Actions Across Recipe Graphs
Recipe texts are an idiosyncratic form of instructional language that pose unique challenges for automatic understanding.
Compositional generalization with a broad-coverage semantic parser
We show how the AM parser, a compositional semantic parser (Groschwitz et al., 2018) can solve compositional generalization on the COGS dataset.
Representing Implicit Positive Meaning of Negated Statements in AMR
Abstract Meaning Representation (AMR) has become popular for representing the meaning of natural language in graph structures.
A Continuation Semantics for Abstract Meaning Representation
Abstract Meaning Representation (AMR) is a simple, expressive semantic framework whose emphasis on predicate-argument structure is effective for many tasks.
Abstract Meaning Representation for Gesture
This paper presents Gesture AMR, an extension to Abstract Meaning Representation (AMR), that captures the meaning of gesture.
