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Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing
In executable task-oriented semantic parsing, the system aims to translate users' utterances in natural language to machine-interpretable programs (API calls) that can be executed according to pre-defined API specifications.
Neural Machine Translation for Cross-Lingual Pronoun Prediction
In this paper we present our systems for the DiscoMT 2017 cross-lingual pronoun prediction shared task.
Does Neural Machine Translation Benefit from Larger Context?
We propose a neural machine translation architecture that models the surrounding text in addition to the source sentence.
Embedding Word Similarity with Neural Machine Translation
Here we investigate the embeddings learned by neural machine translation models, a recently-developed class of neural language model.
Not All Neural Embeddings are Born Equal
Neural language models learn word representations that capture rich linguistic and conceptual information.
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