64 citations · 78 across the 12 of their papers we have counts for
6 papers · 1 filter
Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking
Nikita Moghe, Mark Steedman, Alexandra Birch
Recent progress in task-oriented neural dialogue systems is largely focused on a handful of languages, as annotation of training data is tedious and expensive. Machine translation…
Blindness to Modality Helps Entailment Graph Mining
Liane Guillou, Sander Bijl de Vroe, Mark Johnson +1
Understanding linguistic modality is widely seen as important for downstream tasks such as Question Answering and Knowledge Graph Population. Entailment Graph learning might also b…
Incorporating Temporal Information in Entailment Graph Mining
Liane Guillou, Sander Bijl de Vroe, Mohammad Javad Hosseini +2
We present a novel method for injecting temporality into entailment graphs to address the problem of spurious entailments, which may arise from similar but temporally distinct even…
Modality and Negation in Event Extraction
Sander Bijl de Vroe, Liane Guillou, Miloš Stanojević +2
Language provides speakers with a rich system of modality for expressing thoughts about events, without being committed to their actual occurrence. Modality is commonly used in the…
Prosodic segmentation for parsing spoken dialogue
Elizabeth Nielsen, Mark Steedman, Sharon Goldwater
Parsing spoken dialogue poses unique difficulties, including disfluencies and unmarked boundaries between sentence-like units. Previous work has shown that prosody can help with pa…
Multivalent Entailment Graphs for Question Answering
Nick McKenna, Liane Guillou, Mohammad Javad Hosseini +3
Drawing inferences between open-domain natural language predicates is a necessity for true language understanding. There has been much progress in unsupervised learning of entailme…